Modelling Arabic data - Results
Jalal Al-Tamimi
Université Paris Cité10 January 2025
1 Loading libraries
library(tidyverse)── Attaching core tidyverse packages ───────────────────────────────────────────────── tidyverse 2.0.0 ──
✔ dplyr 1.1.4 ✔ readr 2.1.5
✔ forcats 1.0.0 ✔ stringr 1.5.1
✔ ggplot2 3.5.1 ✔ tibble 3.2.1
✔ lubridate 1.9.4 ✔ tidyr 1.3.1
✔ purrr 1.0.2 ── Conflicts ─────────────────────────────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag() masks stats::lag()
ℹ Use the ]8;;http://conflicted.r-lib.org/conflicted package]8;; to force all conflicts to become errorslibrary(lmerTest)Loading required package: lme4
Loading required package: Matrix
Attaching package: ‘Matrix’
The following objects are masked from ‘package:tidyr’:
expand, pack, unpack
Attaching package: ‘lmerTest’
The following object is masked from ‘package:lme4’:
lmer
The following object is masked from ‘package:stats’:
steplibrary(emmeans)Welcome to emmeans.
Caution: You lose important information if you filter this package's results.
See '? untidy'library(phonR)
library(sjPlot)
library(htmltools)
emm_options(pbkrtest.limit = 20000)
options(max.print=1000000)2 Read dataset and manipulate
2.1 Read datasets
Arabic <- read.csv("SpeakingRate24.csv")
Vratio <- read.csv("Vratio.csv")2.2 Manipulations
Arabic <- subset(Arabic, select = -Arabic_phrase) ### Supprimer la colonne des phrases en arabe pour éviter les problèmes avec PdfLaTex lors de la compilation LaTex R. Sinon, utiliser XeLaTex pour l'écriture arabe.
Arabic$CVC <- gsub(' ', '', Arabic$CVC)#supprimer les espaces
Arabic$V <- gsub(' ', '', Arabic$V)#supprimer les espaces
Arabic$Length <- gsub(' ', '', Arabic$Length)#supprimer les espaces
Arabic$f0ons <- as.integer(gsub('--undefined--', NA, Arabic$f0ons))
Arabic$f0mid <- as.integer(gsub('--undefined--', NA, Arabic$f0mid))
Arabic$f0off <- as.integer(gsub('--undefined--', NA, Arabic$f0off))
Arabic <- dplyr::mutate_if(Arabic, is.character, as.factor) ## Transformer tous les variables de type "character" à des facteurs.
#Arabic <- filter(Arabic, V!="e:" & V!="o:")
Arabic$V = factor(Arabic$V, levels = c('i','a','u','i:','a:','u:','e:','o:')) ## ordonner l'ordre de l'apparition V
Arabic$C <- factor(Arabic$C, levels=c("b","d","g","t","k")) ## ordonner l'ordre de l'apparition C
Arabic$VOTi <- as.integer(Arabic$VOTi)
#Arabic$Word_V_ratio <- as.numeric(gsub(',', '.', Arabic$Word_V_ratio)) #remplacer les virgules en points dans les nombres décimaux pour pouvoir faire des calculs.
levels(Arabic$Rate) <- list("rapide" = "fast", # Change factor levels
"moyen" = "normal",
"lent" = "slow")
levels(Arabic$Length) <- list("longue" = "long", # Change factor levels
"courte" = "short")
Arabic <- dplyr::rename(Arabic, Debit = Rate, Longueur = Length)
Arabic$F1midnor <- with(Arabic, normLobanov(F1mid)) #normalisation de F1mid et F2mid
Arabic$F2midnor <- with(Arabic, normLobanov(F2mid)) #normalisation de F1mid et F2mid
Vratio <- dplyr::rename(Vratio, Debit = Rate)
### sous-ensemble 1
ArabicSub1 <- Arabic
ArabicSub1 <- ArabicSub1 %>%
filter(Timbre %in% c("i", "a", "u")) %>% droplevels()
### sous-ensemble 2
ArabicSub2 <- Arabic
ArabicSub2 <- ArabicSub2 %>%
filter(V %in% c("i", "a", "u", "e:", "u:", "a:")) %>% droplevels()
ArabicSub2$Timbre=gsub('i','e', ArabicSub2$Timbre)
ArabicSub2$Timbre=gsub('u','o', ArabicSub2$Timbre)
ArabicSub2$Timbre= as.factor(ArabicSub2$Timbre)3 Duration
3.1 Optimal model
3.1.1 Read Rds
lm.mod.Optimal <- readRDS("lm.mod.Optimal.Dur.Rds")3.1.2 Summary
summary(lm.mod.Optimal)Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: Duration ~ Debit * V + Sex + (Debit | Speaker) + (1 | Word)
Data: Arabic
Control: lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+05))
REML criterion at convergence: 80383.8
Scaled residuals:
Min 1Q Median 3Q Max
-4.2077 -0.6119 -0.0016 0.5766 5.6890
Random effects:
Groups Name Variance Std.Dev. Corr
Word (Intercept) 55.59 7.456
Speaker (Intercept) 38.75 6.225
Debitmoyen 39.73 6.303 -0.20
Debitlent 219.88 14.828 -0.45 0.87
Residual 249.00 15.780
Number of obs: 9600, groups: Word, 40; Speaker, 10
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 47.5375 4.2783 38.6546 11.111 1.34e-13 ***
Debitmoyen 8.6300 2.2842 14.3757 3.778 0.00195 **
Debitlent 19.2925 4.8200 9.9073 4.003 0.00255 **
Va 8.6250 4.8459 34.3878 1.780 0.08394 .
Vu 3.3075 4.8459 34.3878 0.683 0.49947
Vi: 29.8025 4.8459 34.3878 6.150 5.26e-07 ***
Va: 47.1900 4.8459 34.3878 9.738 2.03e-11 ***
Vu: 28.8325 4.8459 34.3878 5.950 9.59e-07 ***
Ve: 40.7625 4.8459 34.3878 8.412 7.33e-10 ***
Vo: 42.2525 4.8459 34.3878 8.719 3.13e-10 ***
Sexm 4.8051 3.2787 8.0000 1.466 0.18094
Debitmoyen:Va 1.0775 1.5780 9517.0000 0.683 0.49473
Debitlent:Va 0.5900 1.5780 9517.0000 0.374 0.70849
Debitmoyen:Vu -0.4325 1.5780 9517.0000 -0.274 0.78402
Debitlent:Vu -0.7275 1.5780 9517.0000 -0.461 0.64478
Debitmoyen:Vi: 8.0375 1.5780 9517.0000 5.094 3.58e-07 ***
Debitlent:Vi: 28.5600 1.5780 9517.0000 18.099 < 2e-16 ***
Debitmoyen:Va: 14.7050 1.5780 9517.0000 9.319 < 2e-16 ***
Debitlent:Va: 37.3050 1.5780 9517.0000 23.641 < 2e-16 ***
Debitmoyen:Vu: 10.2675 1.5780 9517.0000 6.507 8.07e-11 ***
Debitlent:Vu: 31.0650 1.5780 9517.0000 19.687 < 2e-16 ***
Debitmoyen:Ve: 10.3825 1.5780 9517.0000 6.580 4.96e-11 ***
Debitlent:Ve: 32.9850 1.5780 9517.0000 20.903 < 2e-16 ***
Debitmoyen:Vo: 8.8725 1.5780 9517.0000 5.623 1.93e-08 ***
Debitlent:Vo: 33.1350 1.5780 9517.0000 20.998 < 2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation matrix not shown by default, as p = 25 > 12.
Use print(x, correlation=TRUE) or
vcov(x) if you need it3.1.3 Anova
print(anova(lm.mod.Optimal))Type III Analysis of Variance Table with Satterthwaite's method
Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
Debit 17757 8878.5 2 9 35.6566 5.279e-05 ***
V 104501 14928.7 7 32 59.9546 < 2.2e-16 ***
Sex 535 534.8 1 8 2.1478 0.1809
Debit:V 429011 30643.7 14 9517 123.0667 < 2.2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 13.1.4 Model’s fit
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")| Duration | |||
|---|---|---|---|
| Predictors | Estimates | CI | p |
| (Intercept) | 47.54 | 39.15 – 55.92 | <0.001 |
| Debit [moyen] | 8.63 | 4.15 – 13.11 | <0.001 |
| Debit [lent] | 19.29 | 9.84 – 28.74 | <0.001 |
| Va | 8.63 | -0.87 – 18.12 | 0.075 |
| Vu | 3.31 | -6.19 – 12.81 | 0.495 |
| Vi | 29.80 | 20.30 – 39.30 | <0.001 |
| Va | 47.19 | 37.69 – 56.69 | <0.001 |
| Vu | 28.83 | 19.33 – 38.33 | <0.001 |
| Ve | 40.76 | 31.26 – 50.26 | <0.001 |
| Vo | 42.25 | 32.75 – 51.75 | <0.001 |
| Sex [m] | 4.81 | -1.62 – 11.23 | 0.143 |
| Debit [moyen] × Va | 1.08 | -2.02 – 4.17 | 0.495 |
| Debit [lent] × Va | 0.59 | -2.50 – 3.68 | 0.708 |
| Debit [moyen] × Vu | -0.43 | -3.53 – 2.66 | 0.784 |
| Debit [lent] × Vu | -0.73 | -3.82 – 2.37 | 0.645 |
| Debit [moyen] × Vi | 8.04 | 4.94 – 11.13 | <0.001 |
| Debit [lent] × Vi | 28.56 | 25.47 – 31.65 | <0.001 |
| Debit [moyen] × Va | 14.70 | 11.61 – 17.80 | <0.001 |
| Debit [lent] × Va | 37.30 | 34.21 – 40.40 | <0.001 |
| Debit [moyen] × Vu | 10.27 | 7.17 – 13.36 | <0.001 |
| Debit [lent] × Vu | 31.06 | 27.97 – 34.16 | <0.001 |
| Debit [moyen] × Ve | 10.38 | 7.29 – 13.48 | <0.001 |
| Debit [lent] × Ve | 32.98 | 29.89 – 36.08 | <0.001 |
| Debit [moyen] × Vo | 8.87 | 5.78 – 11.97 | <0.001 |
| Debit [lent] × Vo | 33.13 | 30.04 – 36.23 | <0.001 |
| Random Effects | |||
| σ2 | 249.00 | ||
| τ00 Word | 55.59 | ||
| τ00 Speaker | 38.75 | ||
| τ11 Speaker.Debitmoyen | 39.73 | ||
| τ11 Speaker.Debitlent | 219.88 | ||
| ρ01 Speaker.Debitmoyen | -0.20 | ||
| ρ01 Speaker.Debitlent | -0.45 | ||
| ICC | 0.37 | ||
| N Speaker | 10 | ||
| N Word | 40 | ||
| Observations | 9600 | ||
| Marginal R2 / Conditional R2 | 0.697 / 0.810 | ||
3.1.5 Evaluating Model’s assumptions - normality of residuals
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
3.1.6 Pairwise Comparison
3.1.6.1 Debit
if (file.exists(file = "emmDurationDebit.Rds")){
emmDurationDebit <- readRDS("emmDurationDebit.Rds")
}else{
emmDurationDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
saveRDS(emmDurationDebit, "emmDurationDebit.Rds")
emmDurationDebit <- readRDS("emmDurationDebit.Rds")
}
emmDurationDebit$emmeans
Debit emmean SE df lower.CL upper.CL
rapide 75.0 2.31 14.3 70.1 80.0
moyen 90.3 2.78 12.2 84.2 96.3
lent 114.7 4.35 10.1 105.0 124.4
Results are averaged over the levels of: V, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
rapide - moyen -15.2 2.03 9 -7.503 0.0001
rapide - lent -39.7 4.71 9 -8.427 <.0001
moyen - lent -24.4 3.14 9 -7.767 0.0001
Results are averaged over the levels of: V, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 3 estimates 3.1.6.2 V
if (file.exists(file = "emmDurationV.Rds")){
emmDurationV <- readRDS("emmDurationV.Rds")
}else{
emmDurationV <- emmeans(lm.mod.Optimal, specs = pairwise ~ V)
saveRDS(emmDurationDebit, "emmDurationV.Rds")
emmDurationV <- readRDS("emmDurationV.Rds")
}
emmDurationV$emmeans
V emmean SE df lower.CL upper.CL
i 59.2 4.07 37.2 51.0 67.5
a 68.4 4.07 37.2 60.2 76.7
u 62.2 4.07 37.2 53.9 70.4
i: 101.2 4.07 37.2 93.0 109.5
a: 123.8 4.07 37.2 115.5 132.0
u: 101.9 4.07 37.2 93.6 110.1
e: 114.5 4.07 37.2 106.2 122.7
o: 115.5 4.07 37.2 107.3 123.7
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
i - a -9.181 4.76 32 -1.929 0.5423
i - u -2.921 4.76 32 -0.614 0.9984
i - i: -42.002 4.76 32 -8.825 <.0001
i - a: -64.527 4.76 32 -13.558 <.0001
i - u: -42.610 4.76 32 -8.953 <.0001
i - e: -55.218 4.76 32 -11.602 <.0001
i - o: -56.255 4.76 32 -11.820 <.0001
a - u 6.260 4.76 32 1.315 0.8863
a - i: -32.821 4.76 32 -6.896 <.0001
a - a: -55.346 4.76 32 -11.629 <.0001
a - u: -33.429 4.76 32 -7.024 <.0001
a - e: -46.038 4.76 32 -9.673 <.0001
a - o: -47.074 4.76 32 -9.891 <.0001
u - i: -39.081 4.76 32 -8.211 <.0001
u - a: -61.606 4.76 32 -12.944 <.0001
u - u: -39.689 4.76 32 -8.339 <.0001
u - e: -52.297 4.76 32 -10.988 <.0001
u - o: -53.334 4.76 32 -11.206 <.0001
i: - a: -22.525 4.76 32 -4.733 0.0010
i: - u: -0.608 4.76 32 -0.128 1.0000
i: - e: -13.217 4.76 32 -2.777 0.1368
i: - o: -14.253 4.76 32 -2.995 0.0867
a: - u: 21.917 4.76 32 4.605 0.0014
a: - e: 9.308 4.76 32 1.956 0.5253
a: - o: 8.272 4.76 32 1.738 0.6637
u: - e: -12.608 4.76 32 -2.649 0.1759
u: - o: -13.645 4.76 32 -2.867 0.1138
e: - o: -1.037 4.76 32 -0.218 1.0000
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 8 estimates 3.1.6.3 Debit x V
if (file.exists(file = "emmDurationDebitV.Rds")){
emmDurationDebitV <- readRDS("emmDurationDebitV.Rds")
}else{
emmDurationDebitV <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit:V)
saveRDS(emmDurationDebitV, "emmDurationDebitV.Rds")
emmDurationDebitV <- readRDS("emmDurationDebitV.Rds")
}
emmDurationDebitV$emmeans
Debit V emmean SE df lower.CL upper.CL
rapide i 49.9 3.95 41.1 42.0 57.9
moyen i 58.6 4.24 36.7 50.0 67.2
lent i 69.2 5.41 21.6 58.0 80.5
rapide a 58.6 3.95 41.1 50.6 66.5
moyen a 68.3 4.24 36.7 59.7 76.9
lent a 78.4 5.41 21.6 67.2 89.7
rapide u 53.2 3.95 41.1 45.3 61.2
moyen u 61.4 4.24 36.7 52.8 70.0
lent u 71.8 5.41 21.6 60.6 83.0
rapide i: 79.7 3.95 41.1 71.8 87.7
moyen i: 96.4 4.24 36.7 87.8 105.0
lent i: 127.6 5.41 21.6 116.4 138.8
rapide a: 97.1 3.95 41.1 89.1 105.1
moyen a: 120.5 4.24 36.7 111.9 129.1
lent a: 153.7 5.41 21.6 142.5 165.0
rapide u: 78.8 3.95 41.1 70.8 86.8
moyen u: 97.7 4.24 36.7 89.1 106.3
lent u: 129.1 5.41 21.6 117.9 140.4
rapide e: 90.7 3.95 41.1 82.7 98.7
moyen e: 109.7 4.24 36.7 101.1 118.3
lent e: 143.0 5.41 21.6 131.8 154.2
rapide o: 92.2 3.95 41.1 84.2 100.2
moyen o: 109.7 4.24 36.7 101.1 118.3
lent o: 144.6 5.41 21.6 133.4 155.8
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
rapide i - moyen i -8.630 2.28 14.38 -3.778 0.1318
rapide i - lent i -19.293 4.82 9.91 -4.003 0.1287
rapide i - rapide a -8.625 4.85 34.39 -1.780 0.9744
rapide i - moyen a -18.332 5.24 42.04 -3.499 0.1264
rapide i - lent a -28.508 6.74 29.32 -4.228 0.0290
rapide i - rapide u -3.308 4.85 34.39 -0.683 1.0000
rapide i - moyen u -11.505 5.24 42.04 -2.196 0.8505
rapide i - lent u -21.872 6.74 29.32 -3.244 0.2357
rapide i - rapide i: -29.802 4.85 34.39 -6.150 0.0001
rapide i - moyen i: -46.470 5.24 42.04 -8.869 <.0001
rapide i - lent i: -77.655 6.74 29.32 -11.516 <.0001
rapide i - rapide a: -47.190 4.85 34.39 -9.738 <.0001
rapide i - moyen a: -70.525 5.24 42.04 -13.460 <.0001
rapide i - lent a: -103.787 6.74 29.32 -15.392 <.0001
rapide i - rapide u: -28.832 4.85 34.39 -5.950 0.0002
rapide i - moyen u: -47.730 5.24 42.04 -9.109 <.0001
rapide i - lent u: -79.190 6.74 29.32 -11.744 <.0001
rapide i - rapide e: -40.763 4.85 34.39 -8.412 <.0001
rapide i - moyen e: -59.775 5.24 42.04 -11.408 <.0001
rapide i - lent e: -93.040 6.74 29.32 -13.798 <.0001
rapide i - rapide o: -42.252 4.85 34.39 -8.719 <.0001
rapide i - moyen o: -59.755 5.24 42.04 -11.404 <.0001
rapide i - lent o: -94.680 6.74 29.32 -14.041 <.0001
moyen i - lent i -10.662 3.31 11.09 -3.220 0.3210
moyen i - rapide a 0.005 5.24 42.04 0.001 1.0000
moyen i - moyen a -9.703 4.85 34.39 -2.002 0.9239
moyen i - lent a -19.878 5.76 41.02 -3.450 0.1421
moyen i - rapide u 5.322 5.24 42.04 1.016 1.0000
moyen i - moyen u -2.875 4.85 34.39 -0.593 1.0000
moyen i - lent u -13.242 5.76 41.02 -2.298 0.7961
moyen i - rapide i: -21.172 5.24 42.04 -4.041 0.0334
moyen i - moyen i: -37.840 4.85 34.39 -7.809 <.0001
moyen i - lent i: -69.025 5.76 41.02 -11.978 <.0001
moyen i - rapide a: -38.560 5.24 42.04 -7.359 <.0001
moyen i - moyen a: -61.895 4.85 34.39 -12.773 <.0001
moyen i - lent a: -95.157 5.76 41.02 -16.513 <.0001
moyen i - rapide u: -20.203 5.24 42.04 -3.856 0.0539
moyen i - moyen u: -39.100 4.85 34.39 -8.069 <.0001
moyen i - lent u: -70.560 5.76 41.02 -12.245 <.0001
moyen i - rapide e: -32.133 5.24 42.04 -6.132 0.0001
moyen i - moyen e: -51.145 4.85 34.39 -10.554 <.0001
moyen i - lent e: -84.410 5.76 41.02 -14.648 <.0001
moyen i - rapide o: -33.623 5.24 42.04 -6.417 <.0001
moyen i - moyen o: -51.125 4.85 34.39 -10.550 <.0001
moyen i - lent o: -86.050 5.76 41.02 -14.933 <.0001
lent i - rapide a 10.668 6.74 29.32 1.582 0.9922
lent i - moyen a 0.960 5.76 41.02 0.167 1.0000
lent i - lent a -9.215 4.85 34.39 -1.902 0.9515
lent i - rapide u 15.985 6.74 29.32 2.371 0.7484
lent i - moyen u 7.787 5.76 41.02 1.351 0.9992
lent i - lent u -2.580 4.85 34.39 -0.532 1.0000
lent i - rapide i: -10.510 6.74 29.32 -1.559 0.9935
lent i - moyen i: -27.177 5.76 41.02 -4.716 0.0052
lent i - lent i: -58.362 4.85 34.39 -12.044 <.0001
lent i - rapide a: -27.898 6.74 29.32 -4.137 0.0359
lent i - moyen a: -51.233 5.76 41.02 -8.891 <.0001
lent i - lent a: -84.495 4.85 34.39 -17.437 <.0001
lent i - rapide u: -9.540 6.74 29.32 -1.415 0.9980
lent i - moyen u: -28.438 5.76 41.02 -4.935 0.0027
lent i - lent u: -59.898 4.85 34.39 -12.361 <.0001
lent i - rapide e: -21.470 6.74 29.32 -3.184 0.2619
lent i - moyen e: -40.483 5.76 41.02 -7.025 <.0001
lent i - lent e: -73.748 4.85 34.39 -15.219 <.0001
lent i - rapide o: -22.960 6.74 29.32 -3.405 0.1747
lent i - moyen o: -40.462 5.76 41.02 -7.022 <.0001
lent i - lent o: -75.388 4.85 34.39 -15.557 <.0001
rapide a - moyen a -9.707 2.28 14.38 -4.250 0.0620
rapide a - lent a -19.883 4.82 9.91 -4.125 0.1101
rapide a - rapide u 5.317 4.85 34.39 1.097 1.0000
rapide a - moyen u -2.880 5.24 42.04 -0.550 1.0000
rapide a - lent u -13.248 6.74 29.32 -1.965 0.9320
rapide a - rapide i: -21.177 4.85 34.39 -4.370 0.0170
rapide a - moyen i: -37.845 5.24 42.04 -7.223 <.0001
rapide a - lent i: -69.030 6.74 29.32 -10.237 <.0001
rapide a - rapide a: -38.565 4.85 34.39 -7.958 <.0001
rapide a - moyen a: -61.900 5.24 42.04 -11.814 <.0001
rapide a - lent a: -95.162 6.74 29.32 -14.113 <.0001
rapide a - rapide u: -20.207 4.85 34.39 -4.170 0.0284
rapide a - moyen u: -39.105 5.24 42.04 -7.463 <.0001
rapide a - lent u: -70.565 6.74 29.32 -10.465 <.0001
rapide a - rapide e: -32.138 4.85 34.39 -6.632 <.0001
rapide a - moyen e: -51.150 5.24 42.04 -9.762 <.0001
rapide a - lent e: -84.415 6.74 29.32 -12.519 <.0001
rapide a - rapide o: -33.627 4.85 34.39 -6.939 <.0001
rapide a - moyen o: -51.130 5.24 42.04 -9.758 <.0001
rapide a - lent o: -86.055 6.74 29.32 -12.762 <.0001
moyen a - lent a -10.175 3.31 11.09 -3.072 0.3807
moyen a - rapide u 15.025 5.24 42.04 2.868 0.4201
moyen a - moyen u 6.827 4.85 34.39 1.409 0.9984
moyen a - lent u -3.540 5.76 41.02 -0.614 1.0000
moyen a - rapide i: -11.470 5.24 42.04 -2.189 0.8537
moyen a - moyen i: -28.137 4.85 34.39 -5.807 0.0003
moyen a - lent i: -59.322 5.76 41.02 -10.295 <.0001
moyen a - rapide a: -28.858 5.24 42.04 -5.507 0.0004
moyen a - moyen a: -52.193 4.85 34.39 -10.771 <.0001
moyen a - lent a: -85.455 5.76 41.02 -14.830 <.0001
moyen a - rapide u: -10.500 5.24 42.04 -2.004 0.9271
moyen a - moyen u: -29.398 4.85 34.39 -6.067 0.0001
moyen a - lent u: -60.858 5.76 41.02 -10.561 <.0001
moyen a - rapide e: -22.430 5.24 42.04 -4.281 0.0174
moyen a - moyen e: -41.443 4.85 34.39 -8.552 <.0001
moyen a - lent e: -74.707 5.76 41.02 -12.965 <.0001
moyen a - rapide o: -23.920 5.24 42.04 -4.565 0.0078
moyen a - moyen o: -41.422 4.85 34.39 -8.548 <.0001
moyen a - lent o: -76.347 5.76 41.02 -13.249 <.0001
lent a - rapide u 25.200 6.74 29.32 3.737 0.0886
lent a - moyen u 17.003 5.76 41.02 2.951 0.3693
lent a - lent u 6.635 4.85 34.39 1.369 0.9989
lent a - rapide i: -1.295 6.74 29.32 -0.192 1.0000
lent a - moyen i: -17.962 5.76 41.02 -3.117 0.2769
lent a - lent i: -49.148 4.85 34.39 -10.142 <.0001
lent a - rapide a: -18.683 6.74 29.32 -2.771 0.4920
lent a - moyen a: -42.017 5.76 41.02 -7.292 <.0001
lent a - lent a: -75.280 4.85 34.39 -15.535 <.0001
lent a - rapide u: -0.325 6.74 29.32 -0.048 1.0000
lent a - moyen u: -19.223 5.76 41.02 -3.336 0.1808
lent a - lent u: -50.682 4.85 34.39 -10.459 <.0001
lent a - rapide e: -12.255 6.74 29.32 -1.817 0.9662
lent a - moyen e: -31.267 5.76 41.02 -5.426 0.0006
lent a - lent e: -64.532 4.85 34.39 -13.317 <.0001
lent a - rapide o: -13.745 6.74 29.32 -2.038 0.9084
lent a - moyen o: -31.247 5.76 41.02 -5.423 0.0006
lent a - lent o: -66.172 4.85 34.39 -13.655 <.0001
rapide u - moyen u -8.197 2.28 14.38 -3.589 0.1759
rapide u - lent u -18.565 4.82 9.91 -3.852 0.1557
rapide u - rapide i: -26.495 4.85 34.39 -5.468 0.0008
rapide u - moyen i: -43.163 5.24 42.04 -8.238 <.0001
rapide u - lent i: -74.347 6.74 29.32 -11.026 <.0001
rapide u - rapide a: -43.883 4.85 34.39 -9.056 <.0001
rapide u - moyen a: -67.218 5.24 42.04 -12.828 <.0001
rapide u - lent a: -100.480 6.74 29.32 -14.901 <.0001
rapide u - rapide u: -25.525 4.85 34.39 -5.267 0.0015
rapide u - moyen u: -44.422 5.24 42.04 -8.478 <.0001
rapide u - lent u: -75.882 6.74 29.32 -11.253 <.0001
rapide u - rapide e: -37.455 4.85 34.39 -7.729 <.0001
rapide u - moyen e: -56.468 5.24 42.04 -10.777 <.0001
rapide u - lent e: -89.733 6.74 29.32 -13.307 <.0001
rapide u - rapide o: -38.945 4.85 34.39 -8.037 <.0001
rapide u - moyen o: -56.447 5.24 42.04 -10.773 <.0001
rapide u - lent o: -91.373 6.74 29.32 -13.550 <.0001
moyen u - lent u -10.367 3.31 11.09 -3.130 0.3563
moyen u - rapide i: -18.297 5.24 42.04 -3.492 0.1283
moyen u - moyen i: -34.965 4.85 34.39 -7.215 <.0001
moyen u - lent i: -66.150 5.76 41.02 -11.480 <.0001
moyen u - rapide a: -35.685 5.24 42.04 -6.810 <.0001
moyen u - moyen a: -59.020 4.85 34.39 -12.179 <.0001
moyen u - lent a: -92.282 5.76 41.02 -16.015 <.0001
moyen u - rapide u: -17.328 5.24 42.04 -3.307 0.1906
moyen u - moyen u: -36.225 4.85 34.39 -7.475 <.0001
moyen u - lent u: -67.685 5.76 41.02 -11.746 <.0001
moyen u - rapide e: -29.258 5.24 42.04 -5.584 0.0003
moyen u - moyen e: -48.270 4.85 34.39 -9.961 <.0001
moyen u - lent e: -81.535 5.76 41.02 -14.149 <.0001
moyen u - rapide o: -30.747 5.24 42.04 -5.868 0.0001
moyen u - moyen o: -48.250 4.85 34.39 -9.957 <.0001
moyen u - lent o: -83.175 5.76 41.02 -14.434 <.0001
lent u - rapide i: -7.930 6.74 29.32 -1.176 0.9999
lent u - moyen i: -24.598 5.76 41.02 -4.269 0.0185
lent u - lent i: -55.782 4.85 34.39 -11.511 <.0001
lent u - rapide a: -25.317 6.74 29.32 -3.755 0.0854
lent u - moyen a: -48.653 5.76 41.02 -8.443 <.0001
lent u - lent a: -81.915 4.85 34.39 -16.904 <.0001
lent u - rapide u: -6.960 6.74 29.32 -1.032 1.0000
lent u - moyen u: -25.858 5.76 41.02 -4.487 0.0100
lent u - lent u: -57.318 4.85 34.39 -11.828 <.0001
lent u - rapide e: -18.890 6.74 29.32 -2.801 0.4725
lent u - moyen e: -37.903 5.76 41.02 -6.578 <.0001
lent u - lent e: -71.168 4.85 34.39 -14.686 <.0001
lent u - rapide o: -20.380 6.74 29.32 -3.022 0.3423
lent u - moyen o: -37.883 5.76 41.02 -6.574 <.0001
lent u - lent o: -72.808 4.85 34.39 -15.025 <.0001
rapide i: - moyen i: -16.668 2.28 14.38 -7.297 0.0004
rapide i: - lent i: -47.852 4.82 9.91 -9.928 0.0002
rapide i: - rapide a: -17.387 4.85 34.39 -3.588 0.1126
rapide i: - moyen a: -40.722 5.24 42.04 -7.772 <.0001
rapide i: - lent a: -73.985 6.74 29.32 -10.972 <.0001
rapide i: - rapide u: 0.970 4.85 34.39 0.200 1.0000
rapide i: - moyen u: -17.927 5.24 42.04 -3.421 0.1498
rapide i: - lent u: -49.388 6.74 29.32 -7.324 <.0001
rapide i: - rapide e: -10.960 4.85 34.39 -2.262 0.8129
rapide i: - moyen e: -29.973 5.24 42.04 -5.720 0.0002
rapide i: - lent e: -63.237 6.74 29.32 -9.378 <.0001
rapide i: - rapide o: -12.450 4.85 34.39 -2.569 0.6230
rapide i: - moyen o: -29.953 5.24 42.04 -5.716 0.0002
rapide i: - lent o: -64.877 6.74 29.32 -9.621 <.0001
moyen i: - lent i: -31.185 3.31 11.09 -9.416 0.0001
moyen i: - rapide a: -0.720 5.24 42.04 -0.137 1.0000
moyen i: - moyen a: -24.055 4.85 34.39 -4.964 0.0034
moyen i: - lent a: -57.318 5.76 41.02 -9.947 <.0001
moyen i: - rapide u: 17.637 5.24 42.04 3.366 0.1686
moyen i: - moyen u: -1.260 4.85 34.39 -0.260 1.0000
moyen i: - lent u: -32.720 5.76 41.02 -5.678 0.0003
moyen i: - rapide e: 5.707 5.24 42.04 1.089 1.0000
moyen i: - moyen e: -13.305 4.85 34.39 -2.746 0.5047
moyen i: - lent e: -46.570 5.76 41.02 -8.082 <.0001
moyen i: - rapide o: 4.218 5.24 42.04 0.805 1.0000
moyen i: - moyen o: -13.285 4.85 34.39 -2.742 0.5074
moyen i: - lent o: -48.210 5.76 41.02 -8.366 <.0001
lent i: - rapide a: 30.465 6.74 29.32 4.518 0.0143
lent i: - moyen a: 7.130 5.76 41.02 1.237 0.9998
lent i: - lent a: -26.133 4.85 34.39 -5.393 0.0010
lent i: - rapide u: 48.822 6.74 29.32 7.240 <.0001
lent i: - moyen u: 29.925 5.76 41.02 5.193 0.0012
lent i: - lent u: -1.535 4.85 34.39 -0.317 1.0000
lent i: - rapide e: 36.892 6.74 29.32 5.471 0.0012
lent i: - moyen e: 17.880 5.76 41.02 3.103 0.2842
lent i: - lent e: -15.385 4.85 34.39 -3.175 0.2573
lent i: - rapide o: 35.403 6.74 29.32 5.250 0.0022
lent i: - moyen o: 17.900 5.76 41.02 3.106 0.2824
lent i: - lent o: -17.025 4.85 34.39 -3.513 0.1321
rapide a: - moyen a: -23.335 2.28 14.38 -10.216 <.0001
rapide a: - lent a: -56.597 4.82 9.91 -11.742 <.0001
rapide a: - rapide u: 18.358 4.85 34.39 3.788 0.0718
rapide a: - moyen u: -0.540 5.24 42.04 -0.103 1.0000
rapide a: - lent u: -32.000 6.74 29.32 -4.746 0.0081
rapide a: - rapide e: 6.428 4.85 34.39 1.326 0.9993
rapide a: - moyen e: -12.585 5.24 42.04 -2.402 0.7342
rapide a: - lent e: -45.850 6.74 29.32 -6.800 <.0001
rapide a: - rapide o: 4.938 4.85 34.39 1.019 1.0000
rapide a: - moyen o: -12.565 5.24 42.04 -2.398 0.7366
rapide a: - lent o: -47.490 6.74 29.32 -7.043 <.0001
moyen a: - lent a: -33.263 3.31 11.09 -10.044 0.0001
moyen a: - rapide u: 41.693 5.24 42.04 7.957 <.0001
moyen a: - moyen u: 22.795 4.85 34.39 4.704 0.0070
moyen a: - lent u: -8.665 5.76 41.02 -1.504 0.9967
moyen a: - rapide e: 29.762 5.24 42.04 5.680 0.0003
moyen a: - moyen e: 10.750 4.85 34.39 2.218 0.8353
moyen a: - lent e: -22.515 5.76 41.02 -3.907 0.0481
moyen a: - rapide o: 28.273 5.24 42.04 5.396 0.0006
moyen a: - moyen o: 10.770 4.85 34.39 2.223 0.8332
moyen a: - lent o: -24.155 5.76 41.02 -4.192 0.0228
lent a: - rapide u: 74.955 6.74 29.32 11.116 <.0001
lent a: - moyen u: 56.057 5.76 41.02 9.728 <.0001
lent a: - lent u: 24.598 4.85 34.39 5.076 0.0025
lent a: - rapide e: 63.025 6.74 29.32 9.347 <.0001
lent a: - moyen e: 44.013 5.76 41.02 7.638 <.0001
lent a: - lent e: 10.748 4.85 34.39 2.218 0.8355
lent a: - rapide o: 61.535 6.74 29.32 9.126 <.0001
lent a: - moyen o: 44.032 5.76 41.02 7.641 <.0001
lent a: - lent o: 9.107 4.85 34.39 1.879 0.9565
rapide u: - moyen u: -18.898 2.28 14.38 -8.273 0.0001
rapide u: - lent u: -50.358 4.82 9.91 -10.448 0.0001
rapide u: - rapide e: -11.930 4.85 34.39 -2.462 0.6938
rapide u: - moyen e: -30.942 5.24 42.04 -5.905 0.0001
rapide u: - lent e: -64.207 6.74 29.32 -9.522 <.0001
rapide u: - rapide o: -13.420 4.85 34.39 -2.769 0.4890
rapide u: - moyen o: -30.922 5.24 42.04 -5.902 0.0001
rapide u: - lent o: -65.847 6.74 29.32 -9.765 <.0001
moyen u: - lent u: -31.460 3.31 11.09 -9.499 0.0001
moyen u: - rapide e: 6.968 5.24 42.04 1.330 0.9994
moyen u: - moyen e: -12.045 4.85 34.39 -2.486 0.6784
moyen u: - lent e: -45.310 5.76 41.02 -7.863 <.0001
moyen u: - rapide o: 5.478 5.24 42.04 1.045 1.0000
moyen u: - moyen o: -12.025 4.85 34.39 -2.482 0.6811
moyen u: - lent o: -46.950 5.76 41.02 -8.148 <.0001
lent u: - rapide e: 38.428 6.74 29.32 5.699 0.0007
lent u: - moyen e: 19.415 5.76 41.02 3.369 0.1686
lent u: - lent e: -13.850 4.85 34.39 -2.858 0.4320
lent u: - rapide o: 36.938 6.74 29.32 5.478 0.0012
lent u: - moyen o: 19.435 5.76 41.02 3.373 0.1674
lent u: - lent o: -15.490 4.85 34.39 -3.197 0.2474
rapide e: - moyen e: -19.012 2.28 14.38 -8.323 0.0001
rapide e: - lent e: -52.278 4.82 9.91 -10.846 0.0001
rapide e: - rapide o: -1.490 4.85 34.39 -0.307 1.0000
rapide e: - moyen o: -18.992 5.24 42.04 -3.625 0.0947
rapide e: - lent o: -53.917 6.74 29.32 -7.996 <.0001
moyen e: - lent e: -33.265 3.31 11.09 -10.044 0.0001
moyen e: - rapide o: 17.523 5.24 42.04 3.344 0.1765
moyen e: - moyen o: 0.020 4.85 34.39 0.004 1.0000
moyen e: - lent o: -34.905 5.76 41.02 -6.057 0.0001
lent e: - rapide o: 50.788 6.74 29.32 7.532 <.0001
lent e: - moyen o: 33.285 5.76 41.02 5.776 0.0002
lent e: - lent o: -1.640 4.85 34.39 -0.338 1.0000
rapide o: - moyen o: -17.503 2.28 14.38 -7.662 0.0003
rapide o: - lent o: -52.428 4.82 9.91 -10.877 0.0001
moyen o: - lent o: -34.925 3.31 11.09 -10.546 <.0001
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 24 estimates 4 Vratio
4.1 Optimal model
4.1.1 Read Rds
lm.mod.Optimal <- readRDS("lm.mod.Optimal.Vratio.Rds")4.1.2 Summary
summary(lm.mod.Optimal)Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: Vratio ~ Debit + Timbre + Sex + (Debit | Speaker)
Data: Vratio
Control: lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+05))
REML criterion at convergence: 2830.3
Scaled residuals:
Min 1Q Median 3Q Max
-3.0014 -0.6485 -0.0918 0.5088 7.6454
Random effects:
Groups Name Variance Std.Dev. Corr
Speaker (Intercept) 0.03978 0.1995
Debitnormal 0.01245 0.1116 -0.51
Debitslow 0.03134 0.1770 -0.56 0.89
Residual 0.12494 0.3535
Number of obs: 3600, groups: Speaker, 9
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 1.718e+00 6.902e-02 8.804e+00 24.888 1.82e-09 ***
Debitnormal 7.926e-02 4.000e-02 7.847e+00 1.982 0.08354 .
Debitslow 2.840e-01 6.083e-02 7.943e+00 4.669 0.00164 **
Timbrei -8.841e-02 1.443e-02 3.570e+03 -6.127 9.96e-10 ***
Timbreu -1.704e-01 1.443e-02 3.570e+03 -11.812 < 2e-16 ***
Sexm 9.659e-04 2.571e-02 1.858e+03 0.038 0.97004
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation of Fixed Effects:
(Intr) Dbtnrm Dbtslw Timbrei Timbreu
Debitnormal -0.495
Debitslow -0.549 0.849
Timbrei -0.105 0.000 0.000
Timbreu -0.105 0.000 0.000 0.500
Sexm -0.186 0.000 0.000 0.000 0.000 4.1.3 Anova
print(anova(lm.mod.Optimal))Type III Analysis of Variance Table with Satterthwaite's method
Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
Debit 4.4915 2.2458 2 7.8 17.9744 0.001182 **
Timbre 17.4400 8.7200 2 3569.9 69.7924 < 2.2e-16 ***
Sex 0.0002 0.0002 1 1858.0 0.0014 0.970035
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 14.1.4 Model’s fit
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")| Vratio | |||
|---|---|---|---|
| Predictors | Estimates | CI | p |
| (Intercept) | 1.72 | 1.58 – 1.85 | <0.001 |
| Debit [normal] | 0.08 | 0.00 – 0.16 | 0.048 |
| Debit [slow] | 0.28 | 0.16 – 0.40 | <0.001 |
| Timbre [i] | -0.09 | -0.12 – -0.06 | <0.001 |
| Timbre [u] | -0.17 | -0.20 – -0.14 | <0.001 |
| Sex [m] | 0.00 | -0.05 – 0.05 | 0.970 |
| Random Effects | |||
| σ2 | 0.12 | ||
| τ00 Speaker | 0.04 | ||
| τ11 Speaker.Debitnormal | 0.01 | ||
| τ11 Speaker.Debitslow | 0.03 | ||
| ρ01 | -0.51 | ||
| -0.56 | |||
| ICC | 0.21 | ||
| N Speaker | 9 | ||
| Observations | 3600 | ||
| Marginal R2 / Conditional R2 | 0.108 / 0.297 | ||
4.1.5 Evaluating Model’s assumptions - normality of residuals
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
4.1.6 Pairwise Comparison
4.1.6.1 Debit
if (file.exists(file = "emmVratioDebit.Rds")){
emmVratioDebit <- readRDS("emmVratioDebit.Rds")
}else{
emmVratioDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
saveRDS(emmVratioDebit, "emmVratioDebit.Rds")
emmVratioDebit <- readRDS("emmVratioDebit.Rds")
}
emmVratioDebit$emmeans
Debit emmean SE df lower.CL upper.CL
fast 1.63 0.0673 7.94 1.48 1.79
normal 1.71 0.0583 7.91 1.58 1.85
slow 1.92 0.0601 7.92 1.78 2.05
Results are averaged over the levels of: Timbre, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
fast - normal -0.0793 0.0400 7.99 -1.980 0.1793
fast - slow -0.2840 0.0608 8.00 -4.669 0.0040
normal - slow -0.2048 0.0342 7.98 -5.988 0.0008
Results are averaged over the levels of: Timbre, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 3 estimates 4.1.6.2 Timbre
if (file.exists(file = "emmVratioTimbre.Rds")){
emmVratioTimbre <- readRDS("emmVratioTimbre.Rds")
}else{
emmVratioTimbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre)
saveRDS(emmVratioTimbre, "emmVratioTimbre.Rds")
emmVratioTimbre <- readRDS("emmVratioTimbre.Rds")
}
emmVratioTimbre$emmeans
Timbre emmean SE df lower.CL upper.CL
a 1.84 0.0566 8.26 1.71 1.97
i 1.75 0.0566 8.26 1.62 1.88
u 1.67 0.0566 8.26 1.54 1.80
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
a - i 0.0884 0.0144 3570 6.127 <.0001
a - u 0.1704 0.0144 3570 11.812 <.0001
i - u 0.0820 0.0144 3570 5.685 <.0001
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 3 estimates 4.1.6.3 Debit x Timbre
if (file.exists(file = "emmVratioDebitTimbre.Rds")){
emmVratioDebitTimbre <- readRDS("emmVratioDebitTimbre.Rds")
}else{
emmVratioDebitTimbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit:Timbre)
saveRDS(emmVratioDebitTimbre, "emmVratioDebitTimbre.Rds")
emmVratioDebitTimbre <- readRDS("emmVratioDebitTimbre.Rds")
}
emmVratioDebitTimbre$emmeans
Debit Timbre emmean SE df lower.CL upper.CL
fast a 1.72 0.0678 8.18 1.56 1.87
normal a 1.80 0.0589 8.24 1.66 1.93
slow a 2.00 0.0607 8.23 1.86 2.14
fast i 1.63 0.0678 8.18 1.47 1.79
normal i 1.71 0.0589 8.24 1.57 1.84
slow i 1.91 0.0607 8.23 1.77 2.05
fast u 1.55 0.0678 8.18 1.39 1.70
normal u 1.63 0.0589 8.24 1.49 1.76
slow u 1.83 0.0607 8.23 1.69 1.97
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
fast a - normal a -0.07926 0.0400 7.99 -1.980 0.5896
fast a - slow a -0.28402 0.0608 8.00 -4.669 0.0243
fast a - fast i 0.08841 0.0144 3570.04 6.127 <.0001
fast a - normal i 0.00914 0.0426 10.21 0.215 1.0000
fast a - slow i -0.19562 0.0625 8.92 -3.129 0.1538
fast a - fast u 0.17045 0.0144 3570.04 11.812 <.0001
fast a - normal u 0.09119 0.0426 10.21 2.143 0.4965
fast a - slow u -0.11357 0.0625 8.92 -1.817 0.6743
normal a - slow a -0.20476 0.0342 7.98 -5.988 0.0055
normal a - fast i 0.16767 0.0426 10.21 3.940 0.0434
normal a - normal i 0.08841 0.0144 3570.04 6.127 <.0001
normal a - slow i -0.11635 0.0371 11.09 -3.135 0.1334
normal a - fast u 0.24971 0.0426 10.21 5.868 0.0029
normal a - normal u 0.17045 0.0144 3570.04 11.812 <.0001
normal a - slow u -0.03431 0.0371 11.09 -0.924 0.9862
slow a - fast i 0.37243 0.0625 8.92 5.957 0.0040
slow a - normal i 0.29317 0.0371 11.09 7.899 0.0002
slow a - slow i 0.08841 0.0144 3570.04 6.127 <.0001
slow a - fast u 0.45447 0.0625 8.92 7.269 0.0009
slow a - normal u 0.37521 0.0371 11.09 10.109 <.0001
slow a - slow u 0.17045 0.0144 3570.04 11.812 <.0001
fast i - normal i -0.07926 0.0400 7.99 -1.980 0.5896
fast i - slow i -0.28402 0.0608 8.00 -4.669 0.0243
fast i - fast u 0.08204 0.0144 3570.04 5.685 <.0001
fast i - normal u 0.00278 0.0426 10.21 0.065 1.0000
fast i - slow u -0.20198 0.0625 8.92 -3.231 0.1344
normal i - slow i -0.20476 0.0342 7.98 -5.988 0.0055
normal i - fast u 0.16131 0.0426 10.21 3.791 0.0541
normal i - normal u 0.08204 0.0144 3570.04 5.685 <.0001
normal i - slow u -0.12272 0.0371 11.09 -3.306 0.1032
slow i - fast u 0.36607 0.0625 8.92 5.855 0.0045
slow i - normal u 0.28680 0.0371 11.09 7.727 0.0002
slow i - slow u 0.08204 0.0144 3570.04 5.685 <.0001
fast u - normal u -0.07926 0.0400 7.99 -1.980 0.5896
fast u - slow u -0.28402 0.0608 8.00 -4.669 0.0243
normal u - slow u -0.20476 0.0342 7.98 -5.988 0.0055
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 9 estimates 5 Word_V_ratio
5.1 Optimal model
5.1.1 Read Rds
lm.mod.Optimal <- readRDS("lm.mod.Optimal.Word_V_ratio.Rds")5.1.2 Summary
summary(lm.mod.Optimal)Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: Word_V_ratio ~ Debit * V + Sex + (Debit | Speaker) + (1 | Word)
Data: Arabic
Control: lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+05))
REML criterion at convergence: 8191.7
Scaled residuals:
Min 1Q Median 3Q Max
-4.1664 -0.5835 -0.0821 0.4682 10.6759
Random effects:
Groups Name Variance Std.Dev. Corr
Word (Intercept) 0.14499 0.3808
Speaker (Intercept) 0.03006 0.1734
Debitmoyen 0.02560 0.1600 -0.80
Debitlent 0.03200 0.1789 -0.74 0.91
Residual 0.13187 0.3631
Number of obs: 9600, groups: Word, 40; Speaker, 10
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 3.12664 0.18290 39.96780 17.095 < 2e-16 ***
Debitmoyen -0.03695 0.05674 13.35871 -0.651 0.525931
Debitlent -0.02097 0.06212 12.44124 -0.338 0.741270
Va -0.39762 0.24219 32.48501 -1.642 0.110275
Vu -0.27845 0.24219 32.48501 -1.150 0.258646
Vi: -0.82925 0.24219 32.48501 -3.424 0.001688 **
Va: -1.13265 0.24219 32.48501 -4.677 4.92e-05 ***
Vu: -0.88122 0.24219 32.48501 -3.639 0.000941 ***
Ve: -0.98372 0.24219 32.48501 -4.062 0.000288 ***
Vo: -1.01495 0.24219 32.48501 -4.191 0.000200 ***
Sexm -0.26772 0.06693 8.00005 -4.000 0.003949 **
Debitmoyen:Va 0.05270 0.03631 9517.00000 1.451 0.146742
Debitlent:Va 0.10335 0.03631 9517.00000 2.846 0.004436 **
Debitmoyen:Vu 0.07250 0.03631 9517.00000 1.997 0.045907 *
Debitlent:Vu 0.11905 0.03631 9517.00000 3.278 0.001048 **
Debitmoyen:Vi: 0.01710 0.03631 9517.00000 0.471 0.637723
Debitlent:Vi: -0.16090 0.03631 9517.00000 -4.431 9.49e-06 ***
Debitmoyen:Va: -0.02600 0.03631 9517.00000 -0.716 0.474016
Debitlent:Va: -0.14050 0.03631 9517.00000 -3.869 0.000110 ***
Debitmoyen:Vu: -0.01135 0.03631 9517.00000 -0.313 0.754624
Debitlent:Vu: -0.19550 0.03631 9517.00000 -5.384 7.47e-08 ***
Debitmoyen:Ve: -0.03635 0.03631 9517.00000 -1.001 0.316849
Debitlent:Ve: -0.17408 0.03631 9517.00000 -4.794 1.66e-06 ***
Debitmoyen:Vo: -0.01368 0.03631 9517.00000 -0.377 0.706492
Debitlent:Vo: -0.17750 0.03631 9517.00000 -4.888 1.04e-06 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation matrix not shown by default, as p = 25 > 12.
Use print(x, correlation=TRUE) or
vcov(x) if you need it5.1.3 Anova
print(anova(lm.mod.Optimal))Type III Analysis of Variance Table with Satterthwaite's method
Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
Debit 1.0226 0.51130 2 9 3.8774 0.061019 .
V 6.5719 0.93884 7 32 7.1197 3.789e-05 ***
Sex 2.1100 2.11001 1 8 16.0011 0.003949 **
Debit:V 27.0736 1.93383 14 9517 14.6651 < 2.2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 15.1.4 Model’s fit
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")| Word_V_ratio | |||
|---|---|---|---|
| Predictors | Estimates | CI | p |
| (Intercept) | 3.13 | 2.77 – 3.49 | <0.001 |
| Debit [moyen] | -0.04 | -0.15 – 0.07 | 0.515 |
| Debit [lent] | -0.02 | -0.14 – 0.10 | 0.736 |
| Va | -0.40 | -0.87 – 0.08 | 0.101 |
| Vu | -0.28 | -0.75 – 0.20 | 0.250 |
| Vi | -0.83 | -1.30 – -0.35 | 0.001 |
| Va | -1.13 | -1.61 – -0.66 | <0.001 |
| Vu | -0.88 | -1.36 – -0.41 | <0.001 |
| Ve | -0.98 | -1.46 – -0.51 | <0.001 |
| Vo | -1.01 | -1.49 – -0.54 | <0.001 |
| Sex [m] | -0.27 | -0.40 – -0.14 | <0.001 |
| Debit [moyen] × Va | 0.05 | -0.02 – 0.12 | 0.147 |
| Debit [lent] × Va | 0.10 | 0.03 – 0.17 | 0.004 |
| Debit [moyen] × Vu | 0.07 | 0.00 – 0.14 | 0.046 |
| Debit [lent] × Vu | 0.12 | 0.05 – 0.19 | 0.001 |
| Debit [moyen] × Vi | 0.02 | -0.05 – 0.09 | 0.638 |
| Debit [lent] × Vi | -0.16 | -0.23 – -0.09 | <0.001 |
| Debit [moyen] × Va | -0.03 | -0.10 – 0.05 | 0.474 |
| Debit [lent] × Va | -0.14 | -0.21 – -0.07 | <0.001 |
| Debit [moyen] × Vu | -0.01 | -0.08 – 0.06 | 0.755 |
| Debit [lent] × Vu | -0.20 | -0.27 – -0.12 | <0.001 |
| Debit [moyen] × Ve | -0.04 | -0.11 – 0.03 | 0.317 |
| Debit [lent] × Ve | -0.17 | -0.25 – -0.10 | <0.001 |
| Debit [moyen] × Vo | -0.01 | -0.08 – 0.06 | 0.706 |
| Debit [lent] × Vo | -0.18 | -0.25 – -0.11 | <0.001 |
| Random Effects | |||
| σ2 | 0.13 | ||
| τ00 Word | 0.14 | ||
| τ00 Speaker | 0.03 | ||
| τ11 Speaker.Debitmoyen | 0.03 | ||
| τ11 Speaker.Debitlent | 0.03 | ||
| ρ01 Speaker.Debitmoyen | -0.80 | ||
| ρ01 Speaker.Debitlent | -0.74 | ||
| ICC | 0.55 | ||
| N Speaker | 10 | ||
| N Word | 40 | ||
| Observations | 9600 | ||
| Marginal R2 / Conditional R2 | 0.408 / 0.736 | ||
5.1.5 Evaluating Model’s assumptions - normality of residuals
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
5.1.6 Pairwise Comparison
5.1.6.1 Debit
if (file.exists(file = "emmWord_V_ratioDebit.Rds")){
emmWord_V_ratioDebit <- readRDS("emmWord_V_ratioDebit.Rds")
}else{
emmWord_V_ratioDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
saveRDS(emmWord_V_ratioDebit, "emmWord_V_ratioDebit.Rds")
emmWord_V_ratioDebit <- readRDS("emmWord_V_ratioDebit.Rds")
}
emmWord_V_ratioDebit$emmeans
Debit emmean SE df lower.CL upper.CL
rapide 2.30 0.0817 29.2 2.14 2.47
moyen 2.27 0.0694 39.2 2.13 2.41
lent 2.20 0.0727 37.1 2.06 2.35
Results are averaged over the levels of: V, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
rapide - moyen 0.0301 0.0514 9 0.585 0.8312
rapide - lent 0.0992 0.0573 9 1.732 0.2461
moyen - lent 0.0692 0.0254 9 2.721 0.0558
Results are averaged over the levels of: V, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 3 estimates 5.1.6.2 V
if (file.exists(file = "emmWord_V_ratioV.Rds")){
emmWord_V_ratioV <- readRDS("emmWord_V_ratioV.Rds")
}else{
emmWord_V_ratioV <- emmeans(lm.mod.Optimal, specs = pairwise ~ V)
saveRDS(emmWord_V_ratioV, "emmWord_V_ratioV.Rds")
emmWord_V_ratioV <- readRDS("emmWord_V_ratioV.Rds")
}
emmWord_V_ratioV$emmeans
V emmean SE df lower.CL upper.CL
i 2.97 0.174 34.5 2.62 3.33
a 2.63 0.174 34.5 2.27 2.98
u 2.76 0.174 34.5 2.41 3.11
i: 2.10 0.174 34.5 1.74 2.45
a: 1.79 0.174 34.5 1.43 2.14
u: 2.02 0.174 34.5 1.67 2.38
e: 1.92 0.174 34.5 1.57 2.27
o: 1.89 0.174 34.5 1.54 2.25
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
i - a 0.3456 0.241 32 1.432 0.8355
i - u 0.2146 0.241 32 0.889 0.9850
i - i: 0.8772 0.241 32 3.636 0.0191
i - a: 1.1882 0.241 32 4.924 0.0006
i - u: 0.9502 0.241 32 3.938 0.0088
i - e: 1.0539 0.241 32 4.368 0.0028
i - o: 1.0787 0.241 32 4.471 0.0021
a - u -0.1310 0.241 32 -0.543 0.9993
a - i: 0.5316 0.241 32 2.203 0.3765
a - a: 0.8425 0.241 32 3.492 0.0273
a - u: 0.6046 0.241 32 2.506 0.2293
a - e: 0.7083 0.241 32 2.935 0.0985
a - o: 0.7331 0.241 32 3.038 0.0788
u - i: 0.6626 0.241 32 2.746 0.1455
u - a: 0.9736 0.241 32 4.035 0.0068
u - u: 0.7356 0.241 32 3.049 0.0770
u - e: 0.8393 0.241 32 3.478 0.0283
u - o: 0.8641 0.241 32 3.581 0.0219
i: - a: 0.3110 0.241 32 1.289 0.8963
i: - u: 0.0730 0.241 32 0.303 1.0000
i: - e: 0.1767 0.241 32 0.732 0.9953
i: - o: 0.2015 0.241 32 0.835 0.9896
a: - u: -0.2380 0.241 32 -0.986 0.9732
a: - e: -0.1343 0.241 32 -0.557 0.9992
a: - o: -0.1095 0.241 32 -0.454 0.9998
u: - e: 0.1037 0.241 32 0.430 0.9998
u: - o: 0.1285 0.241 32 0.533 0.9994
e: - o: 0.0248 0.241 32 0.103 1.0000
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 8 estimates 5.1.6.3 Debit x V
if (file.exists(file = "emmWord_V_ratioDebitV.Rds")){
emmWord_V_ratioDebitV <- readRDS("emmWord_V_ratioDebitV.Rds")
}else{
emmWord_V_ratioDebitV <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit:V)
saveRDS(emmWord_V_ratioDebitV, "emmWord_V_ratioDebitV.Rds")
emmWord_V_ratioDebitV <- readRDS("emmWord_V_ratioDebitV.Rds")
}
emmWord_V_ratioDebitV$emmeans
Debit V emmean SE df lower.CL upper.CL
rapide i 2.99 0.180 37.9 2.63 3.36
moyen i 2.96 0.175 34.9 2.60 3.31
lent i 2.97 0.176 35.7 2.61 3.33
rapide a 2.60 0.180 37.9 2.23 2.96
moyen a 2.61 0.175 34.9 2.26 2.97
lent a 2.68 0.176 35.7 2.32 3.03
rapide u 2.71 0.180 37.9 2.35 3.08
moyen u 2.75 0.175 34.9 2.40 3.10
lent u 2.81 0.176 35.7 2.46 3.17
rapide i: 2.16 0.180 37.9 1.80 2.53
moyen i: 2.14 0.175 34.9 1.79 2.50
lent i: 1.98 0.176 35.7 1.62 2.34
rapide a: 1.86 0.180 37.9 1.50 2.22
moyen a: 1.80 0.175 34.9 1.44 2.15
lent a: 1.70 0.176 35.7 1.34 2.06
rapide u: 2.11 0.180 37.9 1.75 2.48
moyen u: 2.06 0.175 34.9 1.71 2.42
lent u: 1.90 0.176 35.7 1.54 2.25
rapide e: 2.01 0.180 37.9 1.65 2.37
moyen e: 1.94 0.175 34.9 1.58 2.29
lent e: 1.81 0.176 35.7 1.46 2.17
rapide o: 1.98 0.180 37.9 1.61 2.34
moyen o: 1.93 0.175 34.9 1.57 2.28
lent o: 1.78 0.176 35.7 1.42 2.14
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
rapide i - moyen i 0.03695 0.0567 13.4 0.651 1.0000
rapide i - lent i 0.02098 0.0621 12.4 0.338 1.0000
rapide i - rapide a 0.39763 0.2420 32.5 1.642 0.9889
rapide i - moyen a 0.38188 0.2470 35.1 1.543 0.9949
rapide i - lent a 0.31525 0.2490 35.7 1.268 0.9997
rapide i - rapide u 0.27845 0.2420 32.5 1.150 0.9999
rapide i - moyen u 0.24290 0.2470 35.1 0.982 1.0000
rapide i - lent u 0.18038 0.2490 35.7 0.725 1.0000
rapide i - rapide i: 0.82925 0.2420 32.5 3.424 0.1623
rapide i - moyen i: 0.84910 0.2470 35.1 3.432 0.1554
rapide i - lent i: 1.01113 0.2490 35.7 4.066 0.0358
rapide i - rapide a: 1.13265 0.2420 32.5 4.677 0.0082
rapide i - moyen a: 1.19560 0.2470 35.1 4.832 0.0047
rapide i - lent a: 1.29412 0.2490 35.7 5.203 0.0016
rapide i - rapide u: 0.88123 0.2420 32.5 3.639 0.1036
rapide i - moyen u: 0.92953 0.2470 35.1 3.757 0.0762
rapide i - lent u: 1.09770 0.2490 35.7 4.414 0.0145
rapide i - rapide e: 0.98372 0.2420 32.5 4.062 0.0391
rapide i - moyen e: 1.05703 0.2470 35.1 4.272 0.0214
rapide i - lent e: 1.17877 0.2490 35.7 4.740 0.0060
rapide i - rapide o: 1.01495 0.2420 32.5 4.191 0.0285
rapide i - moyen o: 1.06557 0.2470 35.1 4.307 0.0196
rapide i - lent o: 1.21342 0.2490 35.7 4.879 0.0040
moyen i - lent i -0.01597 0.0350 32.2 -0.457 1.0000
moyen i - rapide a 0.36068 0.2470 35.1 1.458 0.9975
moyen i - moyen a 0.34492 0.2420 32.5 1.424 0.9980
moyen i - lent a 0.27830 0.2430 33.1 1.144 0.9999
moyen i - rapide u 0.24150 0.2470 35.1 0.976 1.0000
moyen i - moyen u 0.20595 0.2420 32.5 0.850 1.0000
moyen i - lent u 0.14342 0.2430 33.1 0.589 1.0000
moyen i - rapide i: 0.79230 0.2470 35.1 3.202 0.2436
moyen i - moyen i: 0.81215 0.2420 32.5 3.353 0.1866
moyen i - lent i: 0.97418 0.2430 33.1 4.003 0.0444
moyen i - rapide a: 1.09570 0.2470 35.1 4.429 0.0142
moyen i - moyen a: 1.15865 0.2420 32.5 4.784 0.0062
moyen i - lent a: 1.25717 0.2430 33.1 5.166 0.0021
moyen i - rapide u: 0.84427 0.2470 35.1 3.412 0.1618
moyen i - moyen u: 0.89258 0.2420 32.5 3.685 0.0936
moyen i - lent u: 1.06075 0.2430 33.1 4.359 0.0183
moyen i - rapide e: 0.94678 0.2470 35.1 3.827 0.0648
moyen i - moyen e: 1.02008 0.2420 32.5 4.212 0.0271
moyen i - lent e: 1.14183 0.2430 33.1 4.692 0.0076
moyen i - rapide o: 0.97800 0.2470 35.1 3.953 0.0479
moyen i - moyen o: 1.02862 0.2420 32.5 4.247 0.0248
moyen i - lent o: 1.17647 0.2430 33.1 4.835 0.0052
lent i - rapide a 0.37665 0.2490 35.7 1.514 0.9960
lent i - moyen a 0.36090 0.2430 33.1 1.483 0.9968
lent i - lent a 0.29428 0.2420 32.5 1.215 0.9998
lent i - rapide u 0.25748 0.2490 35.7 1.035 1.0000
lent i - moyen u 0.22193 0.2430 33.1 0.912 1.0000
lent i - lent u 0.15940 0.2420 32.5 0.658 1.0000
lent i - rapide i: 0.80827 0.2490 35.7 3.250 0.2220
lent i - moyen i: 0.82812 0.2430 33.1 3.403 0.1682
lent i - lent i: 0.99015 0.2420 32.5 4.088 0.0367
lent i - rapide a: 1.11167 0.2490 35.7 4.470 0.0125
lent i - moyen a: 1.17463 0.2430 33.1 4.827 0.0053
lent i - lent a: 1.27315 0.2420 32.5 5.257 0.0017
lent i - rapide u: 0.86025 0.2490 35.7 3.459 0.1461
lent i - moyen u: 0.90855 0.2430 33.1 3.734 0.0832
lent i - lent u: 1.07672 0.2420 32.5 4.446 0.0150
lent i - rapide e: 0.96275 0.2490 35.7 3.871 0.0576
lent i - moyen e: 1.03605 0.2430 33.1 4.258 0.0237
lent i - lent e: 1.15780 0.2420 32.5 4.781 0.0062
lent i - rapide o: 0.99398 0.2490 35.7 3.997 0.0425
lent i - moyen o: 1.04460 0.2430 33.1 4.293 0.0217
lent i - lent o: 1.19245 0.2420 32.5 4.924 0.0042
rapide a - moyen a -0.01575 0.0567 13.4 -0.278 1.0000
rapide a - lent a -0.08238 0.0621 12.4 -1.326 0.9976
rapide a - rapide u -0.11918 0.2420 32.5 -0.492 1.0000
rapide a - moyen u -0.15473 0.2470 35.1 -0.625 1.0000
rapide a - lent u -0.21725 0.2490 35.7 -0.874 1.0000
rapide a - rapide i: 0.43162 0.2420 32.5 1.782 0.9733
rapide a - moyen i: 0.45148 0.2470 35.1 1.825 0.9674
rapide a - lent i: 0.61350 0.2490 35.7 2.467 0.6909
rapide a - rapide a: 0.73503 0.2420 32.5 3.035 0.3306
rapide a - moyen a: 0.79797 0.2470 35.1 3.225 0.2335
rapide a - lent a: 0.89650 0.2490 35.7 3.605 0.1067
rapide a - rapide u: 0.48360 0.2420 32.5 1.997 0.9245
rapide a - moyen u: 0.53190 0.2470 35.1 2.150 0.8682
rapide a - lent u: 0.70008 0.2490 35.7 2.815 0.4585
rapide a - rapide e: 0.58610 0.2420 32.5 2.420 0.7197
rapide a - moyen e: 0.65940 0.2470 35.1 2.665 0.5582
rapide a - lent e: 0.78115 0.2490 35.7 3.141 0.2716
rapide a - rapide o: 0.61733 0.2420 32.5 2.549 0.6365
rapide a - moyen o: 0.66795 0.2470 35.1 2.700 0.5349
rapide a - lent o: 0.81580 0.2490 35.7 3.280 0.2094
moyen a - lent a -0.06663 0.0350 32.2 -1.905 0.9495
moyen a - rapide u -0.10343 0.2470 35.1 -0.418 1.0000
moyen a - moyen u -0.13897 0.2420 32.5 -0.574 1.0000
moyen a - lent u -0.20150 0.2430 33.1 -0.828 1.0000
moyen a - rapide i: 0.44738 0.2470 35.1 1.808 0.9702
moyen a - moyen i: 0.46723 0.2420 32.5 1.929 0.9437
moyen a - lent i: 0.62925 0.2430 33.1 2.586 0.6120
moyen a - rapide a: 0.75077 0.2470 35.1 3.034 0.3273
moyen a - moyen a: 0.81373 0.2420 32.5 3.360 0.1842
moyen a - lent a: 0.91225 0.2430 33.1 3.749 0.0804
moyen a - rapide u: 0.49935 0.2470 35.1 2.018 0.9191
moyen a - moyen u: 0.54765 0.2420 32.5 2.261 0.8119
moyen a - lent u: 0.71583 0.2430 33.1 2.942 0.3826
moyen a - rapide e: 0.60185 0.2470 35.1 2.433 0.7127
moyen a - moyen e: 0.67515 0.2420 32.5 2.788 0.4784
moyen a - lent e: 0.79690 0.2430 33.1 3.275 0.2158
moyen a - rapide o: 0.63308 0.2470 35.1 2.559 0.6300
moyen a - moyen o: 0.68370 0.2420 32.5 2.823 0.4559
moyen a - lent o: 0.83155 0.2430 33.1 3.417 0.1635
lent a - rapide u -0.03680 0.2490 35.7 -0.148 1.0000
lent a - moyen u -0.07235 0.2430 33.1 -0.297 1.0000
lent a - lent u -0.13487 0.2420 32.5 -0.557 1.0000
lent a - rapide i: 0.51400 0.2490 35.7 2.067 0.9025
lent a - moyen i: 0.53385 0.2430 33.1 2.194 0.8465
lent a - lent i: 0.69588 0.2420 32.5 2.873 0.4244
lent a - rapide a: 0.81740 0.2490 35.7 3.287 0.2069
lent a - moyen a: 0.88035 0.2430 33.1 3.618 0.1075
lent a - lent a: 0.97888 0.2420 32.5 4.042 0.0411
lent a - rapide u: 0.56598 0.2490 35.7 2.276 0.8061
lent a - moyen u: 0.61428 0.2430 33.1 2.524 0.6529
lent a - lent u: 0.78245 0.2420 32.5 3.231 0.2353
lent a - rapide e: 0.66848 0.2490 35.7 2.688 0.5427
lent a - moyen e: 0.74177 0.2430 33.1 3.048 0.3226
lent a - lent e: 0.86352 0.2420 32.5 3.566 0.1212
lent a - rapide o: 0.69970 0.2490 35.7 2.813 0.4594
lent a - moyen o: 0.75033 0.2430 33.1 3.083 0.3042
lent a - lent o: 0.89817 0.2420 32.5 3.709 0.0889
rapide u - moyen u -0.03555 0.0567 13.4 -0.627 1.0000
rapide u - lent u -0.09807 0.0621 12.4 -1.579 0.9845
rapide u - rapide i: 0.55080 0.2420 32.5 2.274 0.8050
rapide u - moyen i: 0.57065 0.2470 35.1 2.306 0.7887
rapide u - lent i: 0.73267 0.2490 35.7 2.946 0.3771
rapide u - rapide a: 0.85420 0.2420 32.5 3.527 0.1314
rapide u - moyen a: 0.91715 0.2470 35.1 3.707 0.0855
rapide u - lent a: 1.01568 0.2490 35.7 4.084 0.0341
rapide u - rapide u: 0.60277 0.2420 32.5 2.489 0.6759
rapide u - moyen u: 0.65107 0.2470 35.1 2.632 0.5809
rapide u - lent u: 0.81925 0.2490 35.7 3.294 0.2039
rapide u - rapide e: 0.70527 0.2420 32.5 2.912 0.4008
rapide u - moyen e: 0.77858 0.2470 35.1 3.147 0.2695
rapide u - lent e: 0.90033 0.2490 35.7 3.620 0.1031
rapide u - rapide o: 0.73650 0.2420 32.5 3.041 0.3273
rapide u - moyen o: 0.78712 0.2470 35.1 3.181 0.2532
rapide u - lent o: 0.93498 0.2490 35.7 3.759 0.0751
moyen u - lent u -0.06252 0.0350 32.2 -1.788 0.9723
moyen u - rapide i: 0.58635 0.2470 35.1 2.370 0.7516
moyen u - moyen i: 0.60620 0.2420 32.5 2.503 0.6667
moyen u - lent i: 0.76823 0.2430 33.1 3.157 0.2677
moyen u - rapide a: 0.88975 0.2470 35.1 3.596 0.1095
moyen u - moyen a: 0.95270 0.2420 32.5 3.934 0.0531
moyen u - lent a: 1.05123 0.2430 33.1 4.320 0.0202
moyen u - rapide u: 0.63833 0.2470 35.1 2.580 0.6157
moyen u - moyen u: 0.68663 0.2420 32.5 2.835 0.4482
moyen u - lent u: 0.85480 0.2430 33.1 3.513 0.1344
moyen u - rapide e: 0.74082 0.2470 35.1 2.994 0.3497
moyen u - moyen e: 0.81412 0.2420 32.5 3.362 0.1837
moyen u - lent e: 0.93588 0.2430 33.1 3.846 0.0644
moyen u - rapide o: 0.77205 0.2470 35.1 3.120 0.2824
moyen u - moyen o: 0.82268 0.2420 32.5 3.397 0.1713
moyen u - lent o: 0.97052 0.2430 33.1 3.988 0.0460
lent u - rapide i: 0.64887 0.2490 35.7 2.609 0.5961
lent u - moyen i: 0.66873 0.2430 33.1 2.748 0.5039
lent u - lent i: 0.83075 0.2420 32.5 3.430 0.1603
lent u - rapide a: 0.95227 0.2490 35.7 3.829 0.0637
lent u - moyen a: 1.01523 0.2430 33.1 4.172 0.0294
lent u - lent a: 1.11375 0.2420 32.5 4.599 0.0101
lent u - rapide u: 0.70085 0.2490 35.7 2.818 0.4565
lent u - moyen u: 0.74915 0.2430 33.1 3.079 0.3066
lent u - lent u: 0.91732 0.2420 32.5 3.788 0.0745
lent u - rapide e: 0.80335 0.2490 35.7 3.230 0.2305
lent u - moyen e: 0.87665 0.2430 33.1 3.602 0.1111
lent u - lent e: 0.99840 0.2420 32.5 4.122 0.0338
lent u - rapide o: 0.83457 0.2490 35.7 3.356 0.1805
lent u - moyen o: 0.88520 0.2430 33.1 3.638 0.1029
lent u - lent o: 1.03305 0.2420 32.5 4.266 0.0237
rapide i: - moyen i: 0.01985 0.0567 13.4 0.350 1.0000
rapide i: - lent i: 0.18188 0.0621 12.4 2.928 0.4389
rapide i: - rapide a: 0.30340 0.2420 32.5 1.253 0.9997
rapide i: - moyen a: 0.36635 0.2470 35.1 1.481 0.9970
rapide i: - lent a: 0.46487 0.2490 35.7 1.869 0.9592
rapide i: - rapide u: 0.05198 0.2420 32.5 0.215 1.0000
rapide i: - moyen u: 0.10028 0.2470 35.1 0.405 1.0000
rapide i: - lent u: 0.26845 0.2490 35.7 1.079 1.0000
rapide i: - rapide e: 0.15448 0.2420 32.5 0.638 1.0000
rapide i: - moyen e: 0.22778 0.2470 35.1 0.921 1.0000
rapide i: - lent e: 0.34952 0.2490 35.7 1.405 0.9985
rapide i: - rapide o: 0.18570 0.2420 32.5 0.767 1.0000
rapide i: - moyen o: 0.23633 0.2470 35.1 0.955 1.0000
rapide i: - lent o: 0.38417 0.2490 35.7 1.545 0.9949
moyen i: - lent i: 0.16203 0.0350 32.2 4.634 0.0093
moyen i: - rapide a: 0.28355 0.2470 35.1 1.146 0.9999
moyen i: - moyen a: 0.34650 0.2420 32.5 1.431 0.9979
moyen i: - lent a: 0.44503 0.2430 33.1 1.829 0.9659
moyen i: - rapide u: 0.03213 0.2470 35.1 0.130 1.0000
moyen i: - moyen u: 0.08042 0.2420 32.5 0.332 1.0000
moyen i: - lent u: 0.24860 0.2430 33.1 1.022 1.0000
moyen i: - rapide e: 0.13462 0.2470 35.1 0.544 1.0000
moyen i: - moyen e: 0.20792 0.2420 32.5 0.859 1.0000
moyen i: - lent e: 0.32967 0.2430 33.1 1.355 0.9990
moyen i: - rapide o: 0.16585 0.2470 35.1 0.670 1.0000
moyen i: - moyen o: 0.21648 0.2420 32.5 0.894 1.0000
moyen i: - lent o: 0.36433 0.2430 33.1 1.497 0.9963
lent i: - rapide a: 0.12152 0.2490 35.7 0.489 1.0000
lent i: - moyen a: 0.18448 0.2430 33.1 0.758 1.0000
lent i: - lent a: 0.28300 0.2420 32.5 1.169 0.9999
lent i: - rapide u: -0.12990 0.2490 35.7 -0.522 1.0000
lent i: - moyen u: -0.08160 0.2430 33.1 -0.335 1.0000
lent i: - lent u: 0.08657 0.2420 32.5 0.357 1.0000
lent i: - rapide e: -0.02740 0.2490 35.7 -0.110 1.0000
lent i: - moyen e: 0.04590 0.2430 33.1 0.189 1.0000
lent i: - lent e: 0.16765 0.2420 32.5 0.692 1.0000
lent i: - rapide o: 0.00382 0.2490 35.7 0.015 1.0000
lent i: - moyen o: 0.05445 0.2430 33.1 0.224 1.0000
lent i: - lent o: 0.20230 0.2420 32.5 0.835 1.0000
rapide a: - moyen a: 0.06295 0.0567 13.4 1.110 0.9998
rapide a: - lent a: 0.16148 0.0621 12.4 2.599 0.6104
rapide a: - rapide u: -0.25143 0.2420 32.5 -1.038 1.0000
rapide a: - moyen u: -0.20312 0.2470 35.1 -0.821 1.0000
rapide a: - lent u: -0.03495 0.2490 35.7 -0.141 1.0000
rapide a: - rapide e: -0.14893 0.2420 32.5 -0.615 1.0000
rapide a: - moyen e: -0.07562 0.2470 35.1 -0.306 1.0000
rapide a: - lent e: 0.04612 0.2490 35.7 0.185 1.0000
rapide a: - rapide o: -0.11770 0.2420 32.5 -0.486 1.0000
rapide a: - moyen o: -0.06707 0.2470 35.1 -0.271 1.0000
rapide a: - lent o: 0.08077 0.2490 35.7 0.325 1.0000
moyen a: - lent a: 0.09853 0.0350 32.2 2.818 0.4594
moyen a: - rapide u: -0.31438 0.2470 35.1 -1.271 0.9996
moyen a: - moyen u: -0.26608 0.2420 32.5 -1.099 1.0000
moyen a: - lent u: -0.09790 0.2430 33.1 -0.402 1.0000
moyen a: - rapide e: -0.21188 0.2470 35.1 -0.856 1.0000
moyen a: - moyen e: -0.13858 0.2420 32.5 -0.572 1.0000
moyen a: - lent e: -0.01682 0.2430 33.1 -0.069 1.0000
moyen a: - rapide o: -0.18065 0.2470 35.1 -0.730 1.0000
moyen a: - moyen o: -0.13003 0.2420 32.5 -0.537 1.0000
moyen a: - lent o: 0.01783 0.2430 33.1 0.073 1.0000
lent a: - rapide u: -0.41290 0.2490 35.7 -1.660 0.9880
lent a: - moyen u: -0.36460 0.2430 33.1 -1.498 0.9963
lent a: - lent u: -0.19642 0.2420 32.5 -0.811 1.0000
lent a: - rapide e: -0.31040 0.2490 35.7 -1.248 0.9997
lent a: - moyen e: -0.23710 0.2430 33.1 -0.974 1.0000
lent a: - lent e: -0.11535 0.2420 32.5 -0.476 1.0000
lent a: - rapide o: -0.27918 0.2490 35.7 -1.123 0.9999
lent a: - moyen o: -0.22855 0.2430 33.1 -0.939 1.0000
lent a: - lent o: -0.08070 0.2420 32.5 -0.333 1.0000
rapide u: - moyen u: 0.04830 0.0567 13.4 0.851 1.0000
rapide u: - lent u: 0.21648 0.0621 12.4 3.485 0.2196
rapide u: - rapide e: 0.10250 0.2420 32.5 0.423 1.0000
rapide u: - moyen e: 0.17580 0.2470 35.1 0.711 1.0000
rapide u: - lent e: 0.29755 0.2490 35.7 1.196 0.9999
rapide u: - rapide o: 0.13373 0.2420 32.5 0.552 1.0000
rapide u: - moyen o: 0.18435 0.2470 35.1 0.745 1.0000
rapide u: - lent o: 0.33220 0.2490 35.7 1.336 0.9993
moyen u: - lent u: 0.16817 0.0350 32.2 4.810 0.0058
moyen u: - rapide e: 0.05420 0.2470 35.1 0.219 1.0000
moyen u: - moyen e: 0.12750 0.2420 32.5 0.526 1.0000
moyen u: - lent e: 0.24925 0.2430 33.1 1.024 1.0000
moyen u: - rapide o: 0.08543 0.2470 35.1 0.345 1.0000
moyen u: - moyen o: 0.13605 0.2420 32.5 0.562 1.0000
moyen u: - lent o: 0.28390 0.2430 33.1 1.167 0.9999
lent u: - rapide e: -0.11398 0.2490 35.7 -0.458 1.0000
lent u: - moyen e: -0.04068 0.2430 33.1 -0.167 1.0000
lent u: - lent e: 0.08107 0.2420 32.5 0.335 1.0000
lent u: - rapide o: -0.08275 0.2490 35.7 -0.333 1.0000
lent u: - moyen o: -0.03213 0.2430 33.1 -0.132 1.0000
lent u: - lent o: 0.11572 0.2420 32.5 0.478 1.0000
rapide e: - moyen e: 0.07330 0.0567 13.4 1.292 0.9984
rapide e: - lent e: 0.19505 0.0621 12.4 3.140 0.3427
rapide e: - rapide o: 0.03122 0.2420 32.5 0.129 1.0000
rapide e: - moyen o: 0.08185 0.2470 35.1 0.331 1.0000
rapide e: - lent o: 0.22970 0.2490 35.7 0.924 1.0000
moyen e: - lent e: 0.12175 0.0350 32.2 3.482 0.1447
moyen e: - rapide o: -0.04208 0.2470 35.1 -0.170 1.0000
moyen e: - moyen o: 0.00855 0.2420 32.5 0.035 1.0000
moyen e: - lent o: 0.15640 0.2430 33.1 0.643 1.0000
lent e: - rapide o: -0.16382 0.2490 35.7 -0.659 1.0000
lent e: - moyen o: -0.11320 0.2430 33.1 -0.465 1.0000
lent e: - lent o: 0.03465 0.2420 32.5 0.143 1.0000
rapide o: - moyen o: 0.05063 0.0567 13.4 0.892 1.0000
rapide o: - lent o: 0.19848 0.0621 12.4 3.195 0.3202
moyen o: - lent o: 0.14785 0.0350 32.2 4.228 0.0262
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 24 estimates 6 F1midnor
6.1 Optimal model
6.1.1 Read Rds
lm.mod.Optimal <- readRDS("lm.mod.Optimal.F1midnor.Rds")6.1.2 Summary
summary(lm.mod.Optimal)Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: F1midnor ~ Debit * V + Sex + (V | Speaker) + (1 | Word)
Data: Arabic
Control: lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+05))
REML criterion at convergence: 5294
Scaled residuals:
Min 1Q Median 3Q Max
-7.3733 -0.5620 -0.0048 0.5824 6.2845
Random effects:
Groups Name Variance Std.Dev. Corr
Word (Intercept) 0.03195 0.1787
Speaker (Intercept) 0.08163 0.2857
Va 0.06911 0.2629 0.57
Vu 0.02155 0.1468 0.22 0.78
Vi: 0.08974 0.2996 -0.79 -0.26 -0.04
Va: 0.18254 0.4273 0.13 0.47 0.59 -0.25
Vu: 0.07019 0.2649 -0.81 -0.25 0.07 0.92 -0.33
Ve: 0.03961 0.1990 0.44 0.80 0.52 -0.31 0.60 -0.38
Vo: 0.06403 0.2530 0.57 0.86 0.74 -0.32 0.63 -0.40 0.87
Residual 0.09648 0.3106
Number of obs: 9600, groups: Word, 40; Speaker, 10
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) -0.02490 0.12385 25.82260 -0.201 0.842213
Debitmoyen -0.13028 0.02196 9471.99955 -5.932 3.11e-09 ***
Debitlent -0.12066 0.02196 9471.99957 -5.494 4.04e-08 ***
Va 0.99442 0.14203 37.71606 7.002 2.55e-08 ***
Vu 0.07392 0.12416 40.77746 0.595 0.554901
Vi: -0.64306 0.14911 34.08714 -4.313 0.000131 ***
Va: 1.94516 0.17753 23.14478 10.957 1.23e-10 ***
Vu: -0.30484 0.14241 37.52629 -2.141 0.038863 *
Ve: 0.40506 0.13123 41.65820 3.087 0.003593 **
Vo: 0.51939 0.14023 38.59357 3.704 0.000663 ***
Sexm -0.54868 0.04669 7.99989 -11.750 2.52e-06 ***
Debitmoyen:Va 0.15585 0.03106 9471.99960 5.017 5.33e-07 ***
Debitlent:Va 0.20350 0.03106 9471.99961 6.552 5.99e-11 ***
Debitmoyen:Vu 0.04910 0.03106 9471.99960 1.581 0.113968
Debitlent:Vu 0.08173 0.03106 9471.99961 2.631 0.008519 **
Debitmoyen:Vi: -0.08405 0.03106 9471.99960 -2.706 0.006822 **
Debitlent:Vi: -0.13139 0.03106 9471.99961 -4.230 2.36e-05 ***
Debitmoyen:Va: 0.15176 0.03106 9471.99959 4.886 1.05e-06 ***
Debitlent:Va: 0.23790 0.03106 9471.99961 7.659 2.06e-14 ***
Debitmoyen:Vu: -0.11340 0.03106 9471.99962 -3.651 0.000263 ***
Debitlent:Vu: -0.16999 0.03106 9471.99963 -5.473 4.54e-08 ***
Debitmoyen:Ve: -0.01331 0.03106 9471.99957 -0.429 0.668295
Debitlent:Ve: -0.12420 0.03106 9471.99958 -3.998 6.43e-05 ***
Debitmoyen:Vo: 0.03927 0.03106 9471.99960 1.264 0.206169
Debitlent:Vo: -0.06355 0.03106 9471.99960 -2.046 0.040782 *
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation matrix not shown by default, as p = 25 > 12.
Use print(x, correlation=TRUE) or
vcov(x) if you need it6.1.3 Anova
print(anova(lm.mod.Optimal))Type III Analysis of Variance Table with Satterthwaite's method
Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
Debit 26.789 13.3943 2 9472.0 138.830 < 2.2e-16 ***
V 23.251 3.3216 7 29.4 34.428 1.692e-12 ***
Sex 13.321 13.3209 1 8.0 138.069 2.516e-06 ***
Debit:V 36.462 2.6044 14 9472.0 26.994 < 2.2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 16.1.4 Model’s fit
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")| F1midnor | |||
|---|---|---|---|
| Predictors | Estimates | CI | p |
| (Intercept) | -0.02 | -0.27 – 0.22 | 0.841 |
| Debit [moyen] | -0.13 | -0.17 – -0.09 | <0.001 |
| Debit [lent] | -0.12 | -0.16 – -0.08 | <0.001 |
| Va | 0.99 | 0.72 – 1.27 | <0.001 |
| Vu | 0.07 | -0.17 – 0.32 | 0.552 |
| Vi | -0.64 | -0.94 – -0.35 | <0.001 |
| Va | 1.95 | 1.60 – 2.29 | <0.001 |
| Vu | -0.30 | -0.58 – -0.03 | 0.032 |
| Ve | 0.41 | 0.15 – 0.66 | 0.002 |
| Vo | 0.52 | 0.24 – 0.79 | <0.001 |
| Sex [m] | -0.55 | -0.64 – -0.46 | <0.001 |
| Debit [moyen] × Va | 0.16 | 0.09 – 0.22 | <0.001 |
| Debit [lent] × Va | 0.20 | 0.14 – 0.26 | <0.001 |
| Debit [moyen] × Vu | 0.05 | -0.01 – 0.11 | 0.114 |
| Debit [lent] × Vu | 0.08 | 0.02 – 0.14 | 0.009 |
| Debit [moyen] × Vi | -0.08 | -0.14 – -0.02 | 0.007 |
| Debit [lent] × Vi | -0.13 | -0.19 – -0.07 | <0.001 |
| Debit [moyen] × Va | 0.15 | 0.09 – 0.21 | <0.001 |
| Debit [lent] × Va | 0.24 | 0.18 – 0.30 | <0.001 |
| Debit [moyen] × Vu | -0.11 | -0.17 – -0.05 | <0.001 |
| Debit [lent] × Vu | -0.17 | -0.23 – -0.11 | <0.001 |
| Debit [moyen] × Ve | -0.01 | -0.07 – 0.05 | 0.668 |
| Debit [lent] × Ve | -0.12 | -0.19 – -0.06 | <0.001 |
| Debit [moyen] × Vo | 0.04 | -0.02 – 0.10 | 0.206 |
| Debit [lent] × Vo | -0.06 | -0.12 – -0.00 | 0.041 |
| Random Effects | |||
| σ2 | 0.10 | ||
| τ00 Word | 0.03 | ||
| τ00 Speaker | 0.08 | ||
| τ11 Speaker.Va | 0.07 | ||
| τ11 Speaker.Vu | 0.02 | ||
| τ11 Speaker.Vi: | 0.09 | ||
| τ11 Speaker.Va: | 0.18 | ||
| τ11 Speaker.Vu: | 0.07 | ||
| τ11 Speaker.Ve: | 0.04 | ||
| τ11 Speaker.Vo: | 0.06 | ||
| ρ01 Speaker.Va | 0.57 | ||
| ρ01 Speaker.Vu | 0.22 | ||
| ρ01 Speaker.Vi: | -0.79 | ||
| ρ01 Speaker.Va: | 0.13 | ||
| ρ01 Speaker.Vu: | -0.81 | ||
| ρ01 Speaker.Ve: | 0.44 | ||
| ρ01 Speaker.Vo: | 0.57 | ||
| ICC | 0.65 | ||
| N Speaker | 10 | ||
| N Word | 40 | ||
| Observations | 9600 | ||
| Marginal R2 / Conditional R2 | 0.733 / 0.907 | ||
6.1.5 Evaluating Model’s assumptions - normality of residuals
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
6.1.6 Pairwise Comparison
6.1.6.1 Debit
if (file.exists(file = "emmF1midnorDebit.Rds")){
emmF1midnorDebit <- readRDS("emmF1midnorDebit.Rds")
}else{
emmF1midnorDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
saveRDS(emmF1midnorDebit, "emmF1midnorDebit.Rds")
emmF1midnorDebit <- readRDS("emmF1midnorDebit.Rds")
}
emmF1midnorDebit$emmeans
Debit emmean SE df lower.CL upper.CL
rapide 0.0745 0.104 10.4 -0.157 0.306
moyen -0.0326 0.104 10.4 -0.264 0.199
lent -0.0419 0.104 10.4 -0.273 0.190
Results are averaged over the levels of: V, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
rapide - moyen 0.10713 0.00777 9472 13.796 <.0001
rapide - lent 0.11641 0.00777 9472 14.991 <.0001
moyen - lent 0.00928 0.00777 9472 1.196 0.4558
Results are averaged over the levels of: V, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 3 estimates 6.1.6.2 V
if (file.exists(file = "emmF1midnorV.Rds")){
emmF1midnorV <- readRDS("emmF1midnorV.Rds")
}else{
emmF1midnorV <- emmeans(lm.mod.Optimal, specs = pairwise ~ V)
saveRDS(emmF1midnorV, "emmF1midnorV.Rds")
emmF1midnorV <- readRDS("emmF1midnorV.Rds")
}
emmF1midnorV$emmeans
V emmean SE df lower.CL upper.CL
i -0.3829 0.1210 23.9 -0.633 -0.133
a 0.7313 0.1730 14.1 0.360 1.103
u -0.2654 0.1360 19.1 -0.551 0.020
i: -1.0978 0.1000 35.6 -1.301 -0.895
a: 1.6922 0.1900 13.1 1.282 2.103
u: -0.7822 0.0973 37.3 -0.979 -0.585
e: -0.0237 0.1540 16.1 -0.349 0.302
o: 0.1284 0.1710 14.3 -0.238 0.495
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
i - a -1.114 0.141 36.5 -7.908 <.0001
i - u -0.118 0.123 39.1 -0.957 0.9779
i - i: 0.715 0.148 33.1 4.829 0.0007
i - a: -2.075 0.177 22.7 -11.749 <.0001
i - u: 0.399 0.141 36.4 2.827 0.1196
i - e: -0.359 0.130 40.1 -2.763 0.1336
i - o: -0.511 0.139 37.3 -3.676 0.0153
a - u 0.997 0.126 40.1 7.886 <.0001
a - i: 1.829 0.181 21.5 10.081 <.0001
a - a: -0.961 0.166 25.9 -5.799 0.0001
a - u: 1.514 0.174 23.3 8.693 <.0001
a - e: 0.755 0.124 39.5 6.084 <.0001
a - o: 0.603 0.122 38.6 4.953 0.0004
u - i: 0.832 0.156 29.4 5.324 0.0002
u - a: -1.958 0.161 27.4 -12.147 <.0001
u - u: 0.517 0.147 33.6 3.518 0.0247
u - e: -0.242 0.127 40.1 -1.909 0.5528
u - o: -0.394 0.127 40.1 -3.110 0.0615
i: - a: -2.790 0.216 16.4 -12.922 <.0001
i: - u: -0.316 0.120 37.4 -2.634 0.1759
i: - e: -1.074 0.172 23.9 -6.247 <.0001
i: - o: -1.226 0.182 21.4 -6.738 <.0001
a: - u: 2.474 0.214 16.6 11.567 <.0001
a: - e: 1.716 0.158 28.7 10.862 <.0001
a: - o: 1.564 0.155 30.1 10.111 <.0001
u: - e: -0.759 0.167 25.4 -4.536 0.0026
u: - o: -0.911 0.178 22.3 -5.112 0.0009
e: - o: -0.152 0.121 38.0 -1.259 0.9079
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 8 estimates 6.1.6.3 Debit x V
if (file.exists(file = "emmF1midnorDebitV.Rds")){
emmF1midnorDebitV <- readRDS("emmF1midnorDebitV.Rds")
}else{
emmF1midnorDebitV <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit:V)
saveRDS(emmF1midnorDebitV, "emmF1midnorDebitV.Rds")
emmF1midnorDebitV <- readRDS("emmF1midnorDebitV.Rds")
}
emmF1midnorDebitV$emmeans
Debit V emmean SE df lower.CL upper.CL
rapide i -0.2992 0.1220 24.4 -0.550 -0.0484
moyen i -0.4295 0.1220 24.4 -0.680 -0.1787
lent i -0.4199 0.1220 24.4 -0.671 -0.1691
rapide a 0.6952 0.1740 14.3 0.323 1.0675
moyen a 0.7207 0.1740 14.3 0.348 1.0931
lent a 0.7780 0.1740 14.3 0.406 1.1503
rapide u -0.2253 0.1370 19.5 -0.512 0.0609
moyen u -0.3065 0.1370 19.5 -0.593 -0.0202
lent u -0.2643 0.1370 19.5 -0.551 0.0220
rapide i: -0.9423 0.1010 36.8 -1.147 -0.7380
moyen i: -1.1566 0.1010 36.8 -1.361 -0.9523
lent i: -1.1944 0.1010 36.8 -1.399 -0.9900
rapide a: 1.6459 0.1900 13.2 1.235 2.0568
moyen a: 1.6674 0.1900 13.2 1.257 2.0783
lent a: 1.7632 0.1900 13.2 1.352 2.1741
rapide u: -0.6041 0.0981 38.6 -0.803 -0.4056
moyen u: -0.8478 0.0981 38.6 -1.046 -0.6493
lent u: -0.8947 0.0981 38.6 -1.093 -0.6963
rapide e: 0.1058 0.1540 16.4 -0.221 0.4321
moyen e: -0.0378 0.1540 16.4 -0.364 0.2886
lent e: -0.1390 0.1540 16.4 -0.465 0.1873
rapide o: 0.2201 0.1720 14.5 -0.147 0.5870
moyen o: 0.1291 0.1720 14.5 -0.238 0.4960
lent o: 0.0359 0.1720 14.5 -0.331 0.4028
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
rapide i - moyen i 0.13028 0.022 9472.0 5.932 <.0001
rapide i - lent i 0.12066 0.022 9472.0 5.494 <.0001
rapide i - rapide a -0.99442 0.142 37.7 -7.002 <.0001
rapide i - moyen a -1.01999 0.142 37.7 -7.182 <.0001
rapide i - lent a -1.07726 0.142 37.7 -7.585 <.0001
rapide i - rapide u -0.07392 0.124 40.8 -0.595 1.0000
rapide i - moyen u 0.00726 0.124 40.8 0.058 1.0000
rapide i - lent u -0.03499 0.124 40.8 -0.282 1.0000
rapide i - rapide i: 0.64306 0.149 34.1 4.313 0.0199
rapide i - moyen i: 0.85740 0.149 34.1 5.750 0.0004
rapide i - lent i: 0.89511 0.149 34.1 6.003 0.0002
rapide i - rapide a: -1.94516 0.178 23.1 -10.957 <.0001
rapide i - moyen a: -1.96664 0.178 23.1 -11.078 <.0001
rapide i - lent a: -2.06240 0.178 23.1 -11.618 <.0001
rapide i - rapide u: 0.30484 0.142 37.5 2.141 0.8736
rapide i - moyen u: 0.54852 0.142 37.5 3.852 0.0585
rapide i - lent u: 0.59550 0.142 37.5 4.182 0.0254
rapide i - rapide e: -0.40506 0.131 41.7 -3.087 0.2920
rapide i - moyen e: -0.26147 0.131 41.7 -1.992 0.9305
rapide i - lent e: -0.16020 0.131 41.7 -1.221 0.9998
rapide i - rapide o: -0.51939 0.140 38.6 -3.704 0.0819
rapide i - moyen o: -0.42838 0.140 38.6 -3.055 0.3121
rapide i - lent o: -0.33517 0.140 38.6 -2.390 0.7404
moyen i - lent i -0.00962 0.022 9472.0 -0.438 1.0000
moyen i - rapide a -1.12470 0.142 37.7 -7.919 <.0001
moyen i - moyen a -1.15027 0.142 37.7 -8.099 <.0001
moyen i - lent a -1.20754 0.142 37.7 -8.502 <.0001
moyen i - rapide u -0.20420 0.124 40.8 -1.645 0.9900
moyen i - moyen u -0.12302 0.124 40.8 -0.991 1.0000
moyen i - lent u -0.16527 0.124 40.8 -1.331 0.9994
moyen i - rapide i: 0.51279 0.149 34.1 3.439 0.1548
moyen i - moyen i: 0.72712 0.149 34.1 4.876 0.0044
moyen i - lent i: 0.76483 0.149 34.1 5.129 0.0022
moyen i - rapide a: -2.07544 0.178 23.1 -11.691 <.0001
moyen i - moyen a: -2.09692 0.178 23.1 -11.812 <.0001
moyen i - lent a: -2.19268 0.178 23.1 -12.351 <.0001
moyen i - rapide u: 0.17456 0.142 37.5 1.226 0.9998
moyen i - moyen u: 0.41824 0.142 37.5 2.937 0.3806
moyen i - lent u: 0.46522 0.142 37.5 3.267 0.2123
moyen i - rapide e: -0.53534 0.131 41.7 -4.079 0.0304
moyen i - moyen e: -0.39175 0.131 41.7 -2.985 0.3482
moyen i - lent e: -0.29048 0.131 41.7 -2.213 0.8416
moyen i - rapide o: -0.64967 0.140 38.6 -4.633 0.0072
moyen i - moyen o: -0.55866 0.140 38.6 -3.984 0.0413
moyen i - lent o: -0.46545 0.140 38.6 -3.319 0.1901
lent i - rapide a -1.11508 0.142 37.7 -7.851 <.0001
lent i - moyen a -1.14065 0.142 37.7 -8.031 <.0001
lent i - lent a -1.19792 0.142 37.7 -8.434 <.0001
lent i - rapide u -0.19458 0.124 40.8 -1.567 0.9944
lent i - moyen u -0.11340 0.124 40.8 -0.913 1.0000
lent i - lent u -0.15565 0.124 40.8 -1.254 0.9997
lent i - rapide i: 0.52240 0.149 34.1 3.503 0.1354
lent i - moyen i: 0.73673 0.149 34.1 4.941 0.0037
lent i - lent i: 0.77445 0.149 34.1 5.194 0.0018
lent i - rapide a: -2.06583 0.178 23.1 -11.637 <.0001
lent i - moyen a: -2.08731 0.178 23.1 -11.758 <.0001
lent i - lent a: -2.18306 0.178 23.1 -12.297 <.0001
lent i - rapide u: 0.18418 0.142 37.5 1.293 0.9996
lent i - moyen u: 0.42786 0.142 37.5 3.005 0.3412
lent i - lent u: 0.47484 0.142 37.5 3.334 0.1858
lent i - rapide e: -0.52572 0.131 41.7 -4.006 0.0369
lent i - moyen e: -0.38213 0.131 41.7 -2.912 0.3924
lent i - lent e: -0.28086 0.131 41.7 -2.140 0.8759
lent i - rapide o: -0.64005 0.140 38.6 -4.564 0.0087
lent i - moyen o: -0.54904 0.140 38.6 -3.915 0.0491
lent i - lent o: -0.45584 0.140 38.6 -3.251 0.2177
rapide a - moyen a -0.02557 0.022 9472.0 -1.164 1.0000
rapide a - lent a -0.08284 0.022 9472.0 -3.772 0.0317
rapide a - rapide u 0.92050 0.128 41.7 7.211 <.0001
rapide a - moyen u 1.00168 0.128 41.7 7.847 <.0001
rapide a - lent u 0.95943 0.128 41.7 7.516 <.0001
rapide a - rapide i: 1.63748 0.182 22.0 8.981 <.0001
rapide a - moyen i: 1.85182 0.182 22.0 10.156 <.0001
rapide a - lent i: 1.88953 0.182 22.0 10.363 <.0001
rapide a - rapide a: -0.95074 0.167 26.5 -5.705 0.0009
rapide a - moyen a: -0.97222 0.167 26.5 -5.834 0.0007
rapide a - lent a: -1.06798 0.167 26.5 -6.409 0.0002
rapide a - rapide u: 1.29926 0.175 23.8 7.423 <.0001
rapide a - moyen u: 1.54294 0.175 23.8 8.815 <.0001
rapide a - lent u: 1.58992 0.175 23.8 9.083 <.0001
rapide a - rapide e: 0.58936 0.125 41.2 4.701 0.0054
rapide a - moyen e: 0.73295 0.125 41.2 5.846 0.0002
rapide a - lent e: 0.83422 0.125 41.2 6.653 <.0001
rapide a - rapide o: 0.47503 0.123 40.2 3.861 0.0547
rapide a - moyen o: 0.56604 0.123 40.2 4.600 0.0074
rapide a - lent o: 0.65925 0.123 40.2 5.358 0.0008
moyen a - lent a -0.05727 0.022 9472.0 -2.608 0.5910
moyen a - rapide u 0.94607 0.128 41.7 7.411 <.0001
moyen a - moyen u 1.02725 0.128 41.7 8.047 <.0001
moyen a - lent u 0.98500 0.128 41.7 7.716 <.0001
moyen a - rapide i: 1.66305 0.182 22.0 9.121 <.0001
moyen a - moyen i: 1.87738 0.182 22.0 10.297 <.0001
moyen a - lent i: 1.91510 0.182 22.0 10.504 <.0001
moyen a - rapide a: -0.92518 0.167 26.5 -5.552 0.0013
moyen a - moyen a: -0.94666 0.167 26.5 -5.681 0.0010
moyen a - lent a: -1.04241 0.167 26.5 -6.255 0.0002
moyen a - rapide u: 1.32483 0.175 23.8 7.569 <.0001
moyen a - moyen u: 1.56851 0.175 23.8 8.961 <.0001
moyen a - lent u: 1.61549 0.175 23.8 9.229 <.0001
moyen a - rapide e: 0.61493 0.125 41.2 4.904 0.0029
moyen a - moyen e: 0.75852 0.125 41.2 6.050 0.0001
moyen a - lent e: 0.85979 0.125 41.2 6.857 <.0001
moyen a - rapide o: 0.50060 0.123 40.2 4.069 0.0321
moyen a - moyen o: 0.59161 0.123 40.2 4.808 0.0041
moyen a - lent o: 0.68481 0.123 40.2 5.566 0.0004
lent a - rapide u 1.00334 0.128 41.7 7.860 <.0001
lent a - moyen u 1.08452 0.128 41.7 8.496 <.0001
lent a - lent u 1.04227 0.128 41.7 8.165 <.0001
lent a - rapide i: 1.72032 0.182 22.0 9.435 <.0001
lent a - moyen i: 1.93465 0.182 22.0 10.611 <.0001
lent a - lent i: 1.97237 0.182 22.0 10.818 <.0001
lent a - rapide a: -0.86790 0.167 26.5 -5.208 0.0031
lent a - moyen a: -0.88939 0.167 26.5 -5.337 0.0023
lent a - lent a: -0.98514 0.167 26.5 -5.912 0.0005
lent a - rapide u: 1.38210 0.175 23.8 7.896 <.0001
lent a - moyen u: 1.62578 0.175 23.8 9.288 <.0001
lent a - lent u: 1.67276 0.175 23.8 9.557 <.0001
lent a - rapide e: 0.67220 0.125 41.2 5.361 0.0007
lent a - moyen e: 0.81579 0.125 41.2 6.506 <.0001
lent a - lent e: 0.91706 0.125 41.2 7.314 <.0001
lent a - rapide o: 0.55787 0.123 40.2 4.534 0.0090
lent a - moyen o: 0.64888 0.123 40.2 5.274 0.0010
lent a - lent o: 0.74209 0.123 40.2 6.031 0.0001
rapide u - moyen u 0.08118 0.022 9472.0 3.696 0.0412
rapide u - lent u 0.03893 0.022 9472.0 1.772 0.9865
rapide u - rapide i: 0.71698 0.157 30.1 4.556 0.0125
rapide u - moyen i: 0.93131 0.157 30.1 5.918 0.0003
rapide u - lent i: 0.96903 0.157 30.1 6.157 0.0002
rapide u - rapide a: -1.87125 0.162 28.1 -11.540 <.0001
rapide u - moyen a: -1.89273 0.162 28.1 -11.673 <.0001
rapide u - lent a: -1.98848 0.162 28.1 -12.263 <.0001
rapide u - rapide u: 0.37876 0.148 34.7 2.559 0.6295
rapide u - moyen u: 0.62244 0.148 34.7 4.206 0.0258
rapide u - lent u: 0.66942 0.148 34.7 4.524 0.0112
rapide u - rapide e: -0.33114 0.128 41.7 -2.590 0.6083
rapide u - moyen e: -0.18755 0.128 41.7 -1.467 0.9976
rapide u - lent e: -0.08628 0.128 41.7 -0.675 1.0000
rapide u - rapide o: -0.44547 0.128 41.7 -3.484 0.1310
rapide u - moyen o: -0.35446 0.128 41.7 -2.772 0.4833
rapide u - lent o: -0.26125 0.128 41.7 -2.043 0.9140
moyen u - lent u -0.04225 0.022 9472.0 -1.924 0.9649
moyen u - rapide i: 0.63580 0.157 30.1 4.040 0.0440
moyen u - moyen i: 0.85013 0.157 30.1 5.402 0.0014
moyen u - lent i: 0.88785 0.157 30.1 5.642 0.0007
moyen u - rapide a: -1.95242 0.162 28.1 -12.041 <.0001
moyen u - moyen a: -1.97391 0.162 28.1 -12.174 <.0001
moyen u - lent a: -2.06966 0.162 28.1 -12.764 <.0001
moyen u - rapide u: 0.29758 0.148 34.7 2.011 0.9213
moyen u - moyen u: 0.54126 0.148 34.7 3.658 0.0962
moyen u - lent u: 0.58824 0.148 34.7 3.975 0.0458
moyen u - rapide e: -0.41232 0.128 41.7 -3.225 0.2250
moyen u - moyen e: -0.26873 0.128 41.7 -2.102 0.8919
moyen u - lent e: -0.16746 0.128 41.7 -1.310 0.9995
moyen u - rapide o: -0.52665 0.128 41.7 -4.118 0.0273
moyen u - moyen o: -0.43564 0.128 41.7 -3.407 0.1549
moyen u - lent o: -0.34243 0.128 41.7 -2.678 0.5476
lent u - rapide i: 0.67805 0.157 30.1 4.309 0.0232
lent u - moyen i: 0.89238 0.157 30.1 5.670 0.0007
lent u - lent i: 0.93010 0.157 30.1 5.910 0.0004
lent u - rapide a: -1.91018 0.162 28.1 -11.780 <.0001
lent u - moyen a: -1.93166 0.162 28.1 -11.913 <.0001
lent u - lent a: -2.02741 0.162 28.1 -12.503 <.0001
lent u - rapide u: 0.33983 0.148 34.7 2.296 0.7941
lent u - moyen u: 0.58351 0.148 34.7 3.943 0.0495
lent u - lent u: 0.63049 0.148 34.7 4.261 0.0224
lent u - rapide e: -0.37007 0.128 41.7 -2.895 0.4031
lent u - moyen e: -0.22648 0.128 41.7 -1.772 0.9775
lent u - lent e: -0.12521 0.128 41.7 -0.979 1.0000
lent u - rapide o: -0.48440 0.128 41.7 -3.788 0.0641
lent u - moyen o: -0.39339 0.128 41.7 -3.076 0.2973
lent u - lent o: -0.30018 0.128 41.7 -2.347 0.7676
rapide i: - moyen i: 0.21433 0.022 9472.0 9.758 <.0001
rapide i: - lent i: 0.25205 0.022 9472.0 11.476 <.0001
rapide i: - rapide a: -2.58823 0.217 16.6 -11.946 <.0001
rapide i: - moyen a: -2.60971 0.217 16.6 -12.046 <.0001
rapide i: - lent a: -2.70547 0.217 16.6 -12.488 <.0001
rapide i: - rapide u: -0.33822 0.121 39.1 -2.792 0.4711
rapide i: - moyen u: -0.09454 0.121 39.1 -0.780 1.0000
rapide i: - lent u: -0.04757 0.121 39.1 -0.393 1.0000
rapide i: - rapide e: -1.04812 0.173 24.4 -6.063 0.0005
rapide i: - moyen e: -0.90453 0.173 24.4 -5.233 0.0035
rapide i: - lent e: -0.80326 0.173 24.4 -4.647 0.0138
rapide i: - rapide o: -1.16245 0.183 21.8 -6.358 0.0004
rapide i: - moyen o: -1.07144 0.183 21.8 -5.860 0.0011
rapide i: - lent o: -0.97824 0.183 21.8 -5.350 0.0035
moyen i: - lent i: 0.03772 0.022 9472.0 1.717 0.9910
moyen i: - rapide a: -2.80256 0.217 16.6 -12.936 <.0001
moyen i: - moyen a: -2.82404 0.217 16.6 -13.035 <.0001
moyen i: - lent a: -2.91980 0.217 16.6 -13.477 <.0001
moyen i: - rapide u: -0.55255 0.121 39.1 -4.562 0.0086
moyen i: - moyen u: -0.30887 0.121 39.1 -2.550 0.6360
moyen i: - lent u: -0.26190 0.121 39.1 -2.162 0.8649
moyen i: - rapide e: -1.26245 0.173 24.4 -7.303 <.0001
moyen i: - moyen e: -1.11886 0.173 24.4 -6.473 0.0002
moyen i: - lent e: -1.01760 0.173 24.4 -5.887 0.0007
moyen i: - rapide o: -1.37678 0.183 21.8 -7.530 <.0001
moyen i: - moyen o: -1.28577 0.183 21.8 -7.032 0.0001
moyen i: - lent o: -1.19257 0.183 21.8 -6.522 0.0003
lent i: - rapide a: -2.84028 0.217 16.6 -13.110 <.0001
lent i: - moyen a: -2.86176 0.217 16.6 -13.209 <.0001
lent i: - lent a: -2.95751 0.217 16.6 -13.651 <.0001
lent i: - rapide u: -0.59027 0.121 39.1 -4.873 0.0035
lent i: - moyen u: -0.34659 0.121 39.1 -2.861 0.4262
lent i: - lent u: -0.29961 0.121 39.1 -2.473 0.6872
lent i: - rapide e: -1.30017 0.173 24.4 -7.522 <.0001
lent i: - moyen e: -1.15658 0.173 24.4 -6.691 0.0001
lent i: - lent e: -1.05531 0.173 24.4 -6.105 0.0004
lent i: - rapide o: -1.41450 0.183 21.8 -7.736 <.0001
lent i: - moyen o: -1.32349 0.183 21.8 -7.238 0.0001
lent i: - lent o: -1.23029 0.183 21.8 -6.729 0.0002
rapide a: - moyen a: -0.02148 0.022 9472.0 -0.978 1.0000
rapide a: - lent a: -0.11724 0.022 9472.0 -5.338 <.0001
rapide a: - rapide u: 2.25000 0.215 16.8 10.482 <.0001
rapide a: - moyen u: 2.49369 0.215 16.8 11.617 <.0001
rapide a: - lent u: 2.54066 0.215 16.8 11.836 <.0001
rapide a: - rapide e: 1.54011 0.159 29.4 9.688 <.0001
rapide a: - moyen e: 1.68369 0.159 29.4 10.591 <.0001
rapide a: - lent e: 1.78496 0.159 29.4 11.228 <.0001
rapide a: - rapide o: 1.42578 0.156 30.9 9.158 <.0001
rapide a: - moyen o: 1.51679 0.156 30.9 9.742 <.0001
rapide a: - lent o: 1.60999 0.156 30.9 10.341 <.0001
moyen a: - lent a: -0.09576 0.022 9472.0 -4.360 0.0031
moyen a: - rapide u: 2.27149 0.215 16.8 10.582 <.0001
moyen a: - moyen u: 2.51517 0.215 16.8 11.717 <.0001
moyen a: - lent u: 2.56214 0.215 16.8 11.936 <.0001
moyen a: - rapide e: 1.56159 0.159 29.4 9.823 <.0001
moyen a: - moyen e: 1.70518 0.159 29.4 10.726 <.0001
moyen a: - lent e: 1.80644 0.159 29.4 11.363 <.0001
moyen a: - rapide o: 1.44726 0.156 30.9 9.296 <.0001
moyen a: - moyen o: 1.53827 0.156 30.9 9.880 <.0001
moyen a: - lent o: 1.63147 0.156 30.9 10.479 <.0001
lent a: - rapide u: 2.36724 0.215 16.8 11.028 <.0001
lent a: - moyen u: 2.61092 0.215 16.8 12.163 <.0001
lent a: - lent u: 2.65790 0.215 16.8 12.382 <.0001
lent a: - rapide e: 1.65734 0.159 29.4 10.425 <.0001
lent a: - moyen e: 1.80093 0.159 29.4 11.328 <.0001
lent a: - lent e: 1.90220 0.159 29.4 11.965 <.0001
lent a: - rapide o: 1.54301 0.156 30.9 9.911 <.0001
lent a: - moyen o: 1.63402 0.156 30.9 10.495 <.0001
lent a: - lent o: 1.72723 0.156 30.9 11.094 <.0001
rapide u: - moyen u: 0.24368 0.022 9472.0 11.095 <.0001
rapide u: - lent u: 0.29066 0.022 9472.0 13.234 <.0001
rapide u: - rapide e: -0.70990 0.168 25.9 -4.221 0.0336
rapide u: - moyen e: -0.56631 0.168 25.9 -3.368 0.1955
rapide u: - lent e: -0.46504 0.168 25.9 -2.765 0.4984
rapide u: - rapide o: -0.82423 0.179 22.8 -4.604 0.0170
rapide u: - moyen o: -0.73322 0.179 22.8 -4.096 0.0504
rapide u: - lent o: -0.64001 0.179 22.8 -3.575 0.1410
moyen u: - lent u: 0.04698 0.022 9472.0 2.139 0.8989
moyen u: - rapide e: -0.95358 0.168 25.9 -5.670 0.0010
moyen u: - moyen e: -0.80999 0.168 25.9 -4.817 0.0084
moyen u: - lent e: -0.70872 0.168 25.9 -4.214 0.0341
moyen u: - rapide o: -1.06791 0.179 22.8 -5.965 0.0008
moyen u: - moyen o: -0.97690 0.179 22.8 -5.457 0.0025
moyen u: - lent o: -0.88369 0.179 22.8 -4.936 0.0081
lent u: - rapide e: -1.00056 0.168 25.9 -5.950 0.0005
lent u: - moyen e: -0.85697 0.168 25.9 -5.096 0.0043
lent u: - lent e: -0.75570 0.168 25.9 -4.494 0.0180
lent u: - rapide o: -1.11489 0.179 22.8 -6.228 0.0004
lent u: - moyen o: -1.02388 0.179 22.8 -5.719 0.0014
lent u: - lent o: -0.93067 0.179 22.8 -5.199 0.0045
rapide e: - moyen e: 0.14359 0.022 9472.0 6.538 <.0001
rapide e: - lent e: 0.24486 0.022 9472.0 11.148 <.0001
rapide e: - rapide o: -0.11433 0.122 39.7 -0.937 1.0000
rapide e: - moyen o: -0.02332 0.122 39.7 -0.191 1.0000
rapide e: - lent o: 0.06989 0.122 39.7 0.572 1.0000
moyen e: - lent e: 0.10127 0.022 9472.0 4.611 0.0010
moyen e: - rapide o: -0.25792 0.122 39.7 -2.113 0.8866
moyen e: - moyen o: -0.16691 0.122 39.7 -1.367 0.9991
moyen e: - lent o: -0.07370 0.122 39.7 -0.604 1.0000
lent e: - rapide o: -0.35919 0.122 39.7 -2.942 0.3753
lent e: - moyen o: -0.26818 0.122 39.7 -2.197 0.8488
lent e: - lent o: -0.17497 0.122 39.7 -1.433 0.9982
rapide o: - moyen o: 0.09101 0.022 9472.0 4.144 0.0077
rapide o: - lent o: 0.18421 0.022 9472.0 8.387 <.0001
moyen o: - lent o: 0.09320 0.022 9472.0 4.244 0.0051
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 24 estimates 7 F2midnor
7.1 Optimal model
7.1.1 Read Rds
lm.mod.Optimal <- readRDS("lm.mod.Optimal.F2midnor.Rds")7.1.2 Summary
summary(lm.mod.Optimal)Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: F2midnor ~ Debit * V + Sex + (Debit | Speaker) + (1 | Word)
Data: Arabic
Control: lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+05))
REML criterion at convergence: -292.6
Scaled residuals:
Min 1Q Median 3Q Max
-5.2592 -0.6335 0.0101 0.6282 4.0608
Random effects:
Groups Name Variance Std.Dev. Corr
Word (Intercept) 0.031608 0.17779
Speaker (Intercept) 0.021444 0.14644
Debitmoyen 0.003813 0.06175 -0.60
Debitlent 0.005736 0.07573 -0.75 0.93
Residual 0.054544 0.23355
Number of obs: 9600, groups: Word, 40; Speaker, 10
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.99433 0.09740 42.53042 10.209 5.21e-13 ***
Debitmoyen 0.04262 0.02557 22.30537 1.667 0.109569
Debitlent 0.10209 0.02909 17.45406 3.509 0.002602 **
Va -0.52603 0.11365 32.92031 -4.629 5.51e-05 ***
Vu -1.28229 0.11365 32.92031 -11.283 7.49e-13 ***
Vi: 0.67074 0.11365 32.92031 5.902 1.30e-06 ***
Va: -0.72553 0.11365 32.92031 -6.384 3.16e-07 ***
Vu: -1.69411 0.11365 32.92031 -14.907 3.39e-16 ***
Ve: 0.02654 0.11365 32.92031 0.233 0.816825
Vo: -1.50944 0.11365 32.92031 -13.282 8.94e-15 ***
Sexm -0.66774 0.05945 7.99999 -11.231 3.54e-06 ***
Debitmoyen:Va -0.05616 0.02335 9516.99998 -2.405 0.016209 *
Debitlent:Va -0.12045 0.02335 9516.99997 -5.157 2.55e-07 ***
Debitmoyen:Vu -0.14712 0.02335 9516.99998 -6.300 3.12e-10 ***
Debitlent:Vu -0.26061 0.02335 9516.99998 -11.159 < 2e-16 ***
Debitmoyen:Vi: 0.03778 0.02335 9516.99998 1.618 0.105775
Debitlent:Vi: 0.08295 0.02335 9516.99998 3.552 0.000384 ***
Debitmoyen:Va: -0.07739 0.02335 9516.99998 -3.314 0.000924 ***
Debitlent:Va: -0.17570 0.02335 9516.99998 -7.523 5.84e-14 ***
Debitmoyen:Vu: -0.25763 0.02335 9516.99998 -11.031 < 2e-16 ***
Debitlent:Vu: -0.47977 0.02335 9516.99998 -20.543 < 2e-16 ***
Debitmoyen:Ve: 0.05345 0.02335 9516.99998 2.289 0.022125 *
Debitlent:Ve: 0.09487 0.02335 9516.99998 4.062 4.90e-05 ***
Debitmoyen:Vo: -0.17368 0.02335 9516.99998 -7.437 1.12e-13 ***
Debitlent:Vo: -0.40882 0.02335 9516.99998 -17.505 < 2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation matrix not shown by default, as p = 25 > 12.
Use print(x, correlation=TRUE) or
vcov(x) if you need it7.1.3 Anova
print(anova(lm.mod.Optimal))Type III Analysis of Variance Table with Satterthwaite's method
Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
Debit 0.320 0.1599 2 9 2.9318 0.1046
V 52.840 7.5485 7 32 138.3930 < 2.2e-16 ***
Sex 6.880 6.8804 1 8 126.1439 3.545e-06 ***
Debit:V 65.585 4.6847 14 9517 85.8880 < 2.2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 17.1.4 Model’s fit
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")| F2midnor | |||
|---|---|---|---|
| Predictors | Estimates | CI | p |
| (Intercept) | 0.99 | 0.80 – 1.19 | <0.001 |
| Debit [moyen] | 0.04 | -0.01 – 0.09 | 0.096 |
| Debit [lent] | 0.10 | 0.05 – 0.16 | <0.001 |
| Va | -0.53 | -0.75 – -0.30 | <0.001 |
| Vu | -1.28 | -1.51 – -1.06 | <0.001 |
| Vi | 0.67 | 0.45 – 0.89 | <0.001 |
| Va | -0.73 | -0.95 – -0.50 | <0.001 |
| Vu | -1.69 | -1.92 – -1.47 | <0.001 |
| Ve | 0.03 | -0.20 – 0.25 | 0.815 |
| Vo | -1.51 | -1.73 – -1.29 | <0.001 |
| Sex [m] | -0.67 | -0.78 – -0.55 | <0.001 |
| Debit [moyen] × Va | -0.06 | -0.10 – -0.01 | 0.016 |
| Debit [lent] × Va | -0.12 | -0.17 – -0.07 | <0.001 |
| Debit [moyen] × Vu | -0.15 | -0.19 – -0.10 | <0.001 |
| Debit [lent] × Vu | -0.26 | -0.31 – -0.21 | <0.001 |
| Debit [moyen] × Vi | 0.04 | -0.01 – 0.08 | 0.106 |
| Debit [lent] × Vi | 0.08 | 0.04 – 0.13 | <0.001 |
| Debit [moyen] × Va | -0.08 | -0.12 – -0.03 | 0.001 |
| Debit [lent] × Va | -0.18 | -0.22 – -0.13 | <0.001 |
| Debit [moyen] × Vu | -0.26 | -0.30 – -0.21 | <0.001 |
| Debit [lent] × Vu | -0.48 | -0.53 – -0.43 | <0.001 |
| Debit [moyen] × Ve | 0.05 | 0.01 – 0.10 | 0.022 |
| Debit [lent] × Ve | 0.09 | 0.05 – 0.14 | <0.001 |
| Debit [moyen] × Vo | -0.17 | -0.22 – -0.13 | <0.001 |
| Debit [lent] × Vo | -0.41 | -0.45 – -0.36 | <0.001 |
| Random Effects | |||
| σ2 | 0.05 | ||
| τ00 Word | 0.03 | ||
| τ00 Speaker | 0.02 | ||
| τ11 Speaker.Debitmoyen | 0.00 | ||
| τ11 Speaker.Debitlent | 0.01 | ||
| ρ01 Speaker.Debitmoyen | -0.60 | ||
| ρ01 Speaker.Debitlent | -0.75 | ||
| ICC | 0.46 | ||
| N Speaker | 10 | ||
| N Word | 40 | ||
| Observations | 9600 | ||
| Marginal R2 / Conditional R2 | 0.898 / 0.945 | ||
7.1.5 Evaluating Model’s assumptions - normality of residuals
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
7.1.6 Pairwise Comparison
7.1.6.1 Debit
if (file.exists(file = "emmF2midnorDebit.Rds")){
emmF2midnorDebit <- readRDS("emmF2midnorDebit.Rds")
}else{
emmF2midnorDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
saveRDS(emmF2midnorDebit, "emmF2midnorDebit.Rds")
emmF2midnorDebit <- readRDS("emmF2midnorDebit.Rds")
}
emmF2midnorDebit$emmeans
Debit emmean SE df lower.CL upper.CL
rapide 0.03044 0.0543 15.0 -0.0854 0.1462
moyen -0.00453 0.0474 18.0 -0.1042 0.0952
lent -0.02591 0.0430 21.4 -0.1153 0.0635
Results are averaged over the levels of: V, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
rapide - moyen 0.0350 0.0204 9 1.716 0.2516
rapide - lent 0.0564 0.0247 9 2.286 0.1094
moyen - lent 0.0214 0.0108 9 1.977 0.1737
Results are averaged over the levels of: V, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 3 estimates 7.1.6.2 V
if (file.exists(file = "emmF2midnorV.Rds")){
emmF2midnorV <- readRDS("emmF2midnorV.Rds")
}else{
emmF2midnorV <- emmeans(lm.mod.Optimal, specs = pairwise ~ V)
saveRDS(emmF2midnorV, "emmF2midnorV.Rds")
emmF2midnorV <- readRDS("emmF2midnorV.Rds")
}
emmF2midnorV$emmeans
V emmean SE df lower.CL upper.CL
i 0.709 0.0883 40 0.5302 0.8871
a 0.124 0.0883 40 -0.0547 0.3022
u -0.710 0.0883 40 -0.8880 -0.5311
i: 1.420 0.0883 40 1.2412 1.5981
a: -0.101 0.0883 40 -0.2797 0.0773
u: -1.231 0.0883 40 -1.4097 -1.0528
e: 0.785 0.0883 40 0.6062 0.9631
o: -0.995 0.0883 40 -1.1734 -0.8165
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
i - a 0.585 0.113 32 5.183 0.0003
i - u 1.418 0.113 32 12.568 <.0001
i - i: -0.711 0.113 32 -6.301 <.0001
i - a: 0.810 0.113 32 7.177 <.0001
i - u: 1.940 0.113 32 17.191 <.0001
i - e: -0.076 0.113 32 -0.673 0.9972
i - o: 1.704 0.113 32 15.097 <.0001
a - u 0.833 0.113 32 7.384 <.0001
a - i: -1.296 0.113 32 -11.484 <.0001
a - a: 0.225 0.113 32 1.994 0.5014
a - u: 1.355 0.113 32 12.008 <.0001
a - e: -0.661 0.113 32 -5.856 <.0001
a - o: 1.119 0.113 32 9.914 <.0001
u - i: -2.129 0.113 32 -18.868 <.0001
u - a: -0.608 0.113 32 -5.391 0.0002
u - u: 0.522 0.113 32 4.623 0.0014
u - e: -1.494 0.113 32 -13.241 <.0001
u - o: 0.285 0.113 32 2.529 0.2198
i: - a: 1.521 0.113 32 13.477 <.0001
i: - u: 2.651 0.113 32 23.491 <.0001
i: - e: 0.635 0.113 32 5.627 0.0001
i: - o: 2.415 0.113 32 21.397 <.0001
a: - u: 1.130 0.113 32 10.014 <.0001
a: - e: -0.886 0.113 32 -7.850 <.0001
a: - o: 0.894 0.113 32 7.920 <.0001
u: - e: -2.016 0.113 32 -17.864 <.0001
u: - o: -0.236 0.113 32 -2.094 0.4398
e: - o: 1.780 0.113 32 15.770 <.0001
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 8 estimates 7.1.6.3 Debit x V
if (file.exists(file = "emmF2midnorDebitV.Rds")){
emmF2midnorDebitV <- readRDS("emmF2midnorDebitV.Rds")
}else{
emmF2midnorDebitV <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit:V)
saveRDS(emmF2midnorDebitV, "emmF2midnorDebitV.Rds")
emmF2midnorDebitV <- readRDS("emmF2midnorDebitV.Rds")
}
emmF2midnorDebitV$emmeans
Debit V emmean SE df lower.CL upper.CL
rapide i 0.6605 0.0927 40.5 0.4731 0.8478
moyen i 0.7031 0.0889 40.8 0.5235 0.8826
lent i 0.7625 0.0866 40.0 0.5875 0.9376
rapide a 0.1344 0.0927 40.5 -0.0530 0.3218
moyen a 0.1209 0.0889 40.8 -0.0587 0.3004
lent a 0.1161 0.0866 40.0 -0.0590 0.2911
rapide u -0.6218 0.0927 40.5 -0.8092 -0.4344
moyen u -0.7263 0.0889 40.8 -0.9059 -0.5468
lent u -0.7804 0.0866 40.0 -0.9554 -0.6053
rapide i: 1.3312 0.0927 40.5 1.1438 1.5186
moyen i: 1.4116 0.0889 40.8 1.2321 1.5911
lent i: 1.5162 0.0866 40.0 1.3412 1.6913
rapide a: -0.0651 0.0927 40.5 -0.2525 0.1223
moyen a: -0.0998 0.0889 40.8 -0.2794 0.0797
lent a: -0.1387 0.0866 40.0 -0.3137 0.0364
rapide u: -1.0337 0.0927 40.5 -1.2210 -0.8463
moyen u: -1.2487 0.0889 40.8 -1.4282 -1.0691
lent u: -1.4113 0.0866 40.0 -1.5864 -1.2363
rapide e: 0.6870 0.0927 40.5 0.4996 0.8744
moyen e: 0.7831 0.0889 40.8 0.6035 0.9626
lent e: 0.8840 0.0866 40.0 0.7089 1.0590
rapide o: -0.8490 0.0927 40.5 -1.0364 -0.6616
moyen o: -0.9800 0.0889 40.8 -1.1596 -0.8005
lent o: -1.1557 0.0866 40.0 -1.3308 -0.9807
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
rapide i - moyen i -0.04262 0.0256 22.3 -1.667 0.9834
rapide i - lent i -0.10209 0.0291 17.4 -3.509 0.1802
rapide i - rapide a 0.52603 0.1140 32.9 4.629 0.0091
rapide i - moyen a 0.53957 0.1150 34.8 4.679 0.0073
rapide i - lent a 0.54439 0.1160 35.6 4.687 0.0069
rapide i - rapide u 1.28229 0.1140 32.9 11.283 <.0001
rapide i - moyen u 1.38679 0.1150 34.8 12.026 <.0001
rapide i - lent u 1.44082 0.1160 35.6 12.405 <.0001
rapide i - rapide i: -0.67074 0.1140 32.9 -5.902 0.0003
rapide i - moyen i: -0.75114 0.1150 34.8 -6.514 <.0001
rapide i - lent i: -0.85579 0.1160 35.6 -7.368 <.0001
rapide i - rapide a: 0.72553 0.1140 32.9 6.384 0.0001
rapide i - moyen a: 0.76030 0.1150 34.8 6.593 <.0001
rapide i - lent a: 0.79914 0.1160 35.6 6.881 <.0001
rapide i - rapide u: 1.69411 0.1140 32.9 14.907 <.0001
rapide i - moyen u: 1.90912 0.1150 34.8 16.556 <.0001
rapide i - lent u: 2.07179 0.1160 35.6 17.838 <.0001
rapide i - rapide e: -0.02654 0.1140 32.9 -0.233 1.0000
rapide i - moyen e: -0.12261 0.1150 34.8 -1.063 1.0000
rapide i - lent e: -0.22350 0.1160 35.6 -1.924 0.9466
rapide i - rapide o: 1.50944 0.1140 32.9 13.282 <.0001
rapide i - moyen o: 1.64050 0.1150 34.8 14.226 <.0001
rapide i - lent o: 1.81618 0.1160 35.6 15.637 <.0001
moyen i - lent i -0.05947 0.0189 82.8 -3.154 0.2340
moyen i - rapide a 0.56865 0.1150 34.8 4.931 0.0037
moyen i - moyen a 0.58219 0.1140 32.9 5.123 0.0024
moyen i - lent a 0.58701 0.1140 33.3 5.149 0.0022
moyen i - rapide u 1.32491 0.1150 34.8 11.490 <.0001
moyen i - moyen u 1.42942 0.1140 32.9 12.577 <.0001
moyen i - lent u 1.48344 0.1140 33.3 13.011 <.0001
moyen i - rapide i: -0.62812 0.1150 34.8 -5.447 0.0008
moyen i - moyen i: -0.70852 0.1140 32.9 -6.234 0.0001
moyen i - lent i: -0.81317 0.1140 33.3 -7.132 <.0001
moyen i - rapide a: 0.76815 0.1150 34.8 6.661 <.0001
moyen i - moyen a: 0.80292 0.1140 32.9 7.065 <.0001
moyen i - lent a: 0.84176 0.1140 33.3 7.383 <.0001
moyen i - rapide u: 1.73673 0.1150 34.8 15.061 <.0001
moyen i - moyen u: 1.95174 0.1140 32.9 17.173 <.0001
moyen i - lent u: 2.11441 0.1140 33.3 18.545 <.0001
moyen i - rapide e: 0.01608 0.1150 34.8 0.139 1.0000
moyen i - moyen e: -0.07999 0.1140 32.9 -0.704 1.0000
moyen i - lent e: -0.18088 0.1140 33.3 -1.586 0.9926
moyen i - rapide o: 1.55206 0.1150 34.8 13.459 <.0001
moyen i - moyen o: 1.68312 0.1140 32.9 14.810 <.0001
moyen i - lent o: 1.85880 0.1140 33.3 16.303 <.0001
lent i - rapide a 0.62812 0.1160 35.6 5.408 0.0009
lent i - moyen a 0.64166 0.1140 33.3 5.628 0.0006
lent i - lent a 0.64648 0.1140 32.9 5.688 0.0005
lent i - rapide u 1.38438 0.1160 35.6 11.919 <.0001
lent i - moyen u 1.48888 0.1140 33.3 13.059 <.0001
lent i - lent u 1.54291 0.1140 32.9 13.576 <.0001
lent i - rapide i: -0.56865 0.1160 35.6 -4.896 0.0039
lent i - moyen i: -0.64905 0.1140 33.3 -5.693 0.0005
lent i - lent i: -0.75370 0.1140 32.9 -6.632 <.0001
lent i - rapide a: 0.82762 0.1160 35.6 7.126 <.0001
lent i - moyen a: 0.86239 0.1140 33.3 7.564 <.0001
lent i - lent a: 0.90123 0.1140 32.9 7.930 <.0001
lent i - rapide u: 1.79620 0.1160 35.6 15.465 <.0001
lent i - moyen u: 2.01121 0.1140 33.3 17.640 <.0001
lent i - lent u: 2.17388 0.1140 32.9 19.128 <.0001
lent i - rapide e: 0.07555 0.1160 35.6 0.651 1.0000
lent i - moyen e: -0.02052 0.1140 33.3 -0.180 1.0000
lent i - lent e: -0.12141 0.1140 32.9 -1.068 1.0000
lent i - rapide o: 1.61153 0.1160 35.6 13.875 <.0001
lent i - moyen o: 1.74259 0.1140 33.3 15.284 <.0001
lent i - lent o: 1.91827 0.1140 32.9 16.879 <.0001
rapide a - moyen a 0.01354 0.0256 22.3 0.529 1.0000
rapide a - lent a 0.01836 0.0291 17.4 0.631 1.0000
rapide a - rapide u 0.75626 0.1140 32.9 6.654 <.0001
rapide a - moyen u 0.86076 0.1150 34.8 7.464 <.0001
rapide a - lent u 0.91478 0.1160 35.6 7.876 <.0001
rapide a - rapide i: -1.19678 0.1140 32.9 -10.530 <.0001
rapide a - moyen i: -1.27718 0.1150 34.8 -11.076 <.0001
rapide a - lent i: -1.38182 0.1160 35.6 -11.897 <.0001
rapide a - rapide a: 0.19950 0.1140 32.9 1.755 0.9773
rapide a - moyen a: 0.23427 0.1150 34.8 2.032 0.9145
rapide a - lent a: 0.27311 0.1160 35.6 2.351 0.7628
rapide a - rapide u: 1.16808 0.1140 32.9 10.278 <.0001
rapide a - moyen u: 1.38308 0.1150 34.8 11.994 <.0001
rapide a - lent u: 1.54575 0.1160 35.6 13.309 <.0001
rapide a - rapide e: -0.55257 0.1140 32.9 -4.862 0.0049
rapide a - moyen e: -0.64864 0.1150 34.8 -5.625 0.0005
rapide a - lent e: -0.74953 0.1160 35.6 -6.453 <.0001
rapide a - rapide o: 0.98341 0.1140 32.9 8.653 <.0001
rapide a - moyen o: 1.11447 0.1150 34.8 9.665 <.0001
rapide a - lent o: 1.29014 0.1160 35.6 11.108 <.0001
moyen a - lent a 0.00482 0.0189 82.8 0.256 1.0000
moyen a - rapide u 0.74272 0.1150 34.8 6.441 <.0001
moyen a - moyen u 0.84722 0.1140 32.9 7.455 <.0001
moyen a - lent u 0.90125 0.1140 33.3 7.905 <.0001
moyen a - rapide i: -1.21032 0.1150 34.8 -10.496 <.0001
moyen a - moyen i: -1.29072 0.1140 32.9 -11.357 <.0001
moyen a - lent i: -1.39536 0.1140 33.3 -12.239 <.0001
moyen a - rapide a: 0.18596 0.1150 34.8 1.613 0.9913
moyen a - moyen a: 0.22073 0.1140 32.9 1.942 0.9406
moyen a - lent a: 0.25957 0.1140 33.3 2.277 0.8042
moyen a - rapide u: 1.15454 0.1150 34.8 10.012 <.0001
moyen a - moyen u: 1.36955 0.1140 32.9 12.051 <.0001
moyen a - lent u: 1.53222 0.1140 33.3 13.439 <.0001
moyen a - rapide e: -0.56611 0.1150 34.8 -4.909 0.0039
moyen a - moyen e: -0.66218 0.1140 32.9 -5.827 0.0003
moyen a - lent e: -0.76307 0.1140 33.3 -6.693 <.0001
moyen a - rapide o: 0.96987 0.1150 34.8 8.411 <.0001
moyen a - moyen o: 1.10093 0.1140 32.9 9.687 <.0001
moyen a - lent o: 1.27661 0.1140 33.3 11.197 <.0001
lent a - rapide u 0.73790 0.1160 35.6 6.353 0.0001
lent a - moyen u 0.84240 0.1140 33.3 7.389 <.0001
lent a - lent u 0.89642 0.1140 32.9 7.888 <.0001
lent a - rapide i: -1.21514 0.1160 35.6 -10.462 <.0001
lent a - moyen i: -1.29554 0.1140 33.3 -11.363 <.0001
lent a - lent i: -1.40018 0.1140 32.9 -12.320 <.0001
lent a - rapide a: 0.18114 0.1160 35.6 1.560 0.9942
lent a - moyen a: 0.21591 0.1140 33.3 1.894 0.9528
lent a - lent a: 0.25475 0.1140 32.9 2.242 0.8226
lent a - rapide u: 1.14972 0.1160 35.6 9.899 <.0001
lent a - moyen u: 1.36472 0.1140 33.3 11.970 <.0001
lent a - lent u: 1.52739 0.1140 32.9 13.440 <.0001
lent a - rapide e: -0.57093 0.1160 35.6 -4.916 0.0037
lent a - moyen e: -0.66700 0.1140 33.3 -5.850 0.0003
lent a - lent e: -0.76789 0.1140 32.9 -6.757 <.0001
lent a - rapide o: 0.96505 0.1160 35.6 8.309 <.0001
lent a - moyen o: 1.09611 0.1140 33.3 9.614 <.0001
lent a - lent o: 1.27178 0.1140 32.9 11.190 <.0001
rapide u - moyen u 0.10450 0.0256 22.3 4.086 0.0524
rapide u - lent u 0.15852 0.0291 17.4 5.449 0.0051
rapide u - rapide i: -1.95304 0.1140 32.9 -17.185 <.0001
rapide u - moyen i: -2.03344 0.1150 34.8 -17.634 <.0001
rapide u - lent i: -2.13808 0.1160 35.6 -18.409 <.0001
rapide u - rapide a: -0.55676 0.1140 32.9 -4.899 0.0044
rapide u - moyen a: -0.52199 0.1150 34.8 -4.527 0.0111
rapide u - lent a: -0.48315 0.1160 35.6 -4.160 0.0282
rapide u - rapide u: 0.41182 0.1140 32.9 3.624 0.1064
rapide u - moyen u: 0.62683 0.1150 34.8 5.436 0.0009
rapide u - lent u: 0.78950 0.1160 35.6 6.798 <.0001
rapide u - rapide e: -1.30883 0.1140 32.9 -11.516 <.0001
rapide u - moyen e: -1.40490 0.1150 34.8 -12.183 <.0001
rapide u - lent e: -1.50579 0.1160 35.6 -12.965 <.0001
rapide u - rapide o: 0.22715 0.1140 32.9 1.999 0.9241
rapide u - moyen o: 0.35821 0.1150 34.8 3.106 0.2900
rapide u - lent o: 0.53388 0.1160 35.6 4.597 0.0089
moyen u - lent u 0.05402 0.0189 82.8 2.865 0.4069
moyen u - rapide i: -2.05754 0.1150 34.8 -17.843 <.0001
moyen u - moyen i: -2.13794 0.1140 32.9 -18.812 <.0001
moyen u - lent i: -2.24258 0.1140 33.3 -19.670 <.0001
moyen u - rapide a: -0.66126 0.1150 34.8 -5.734 0.0004
moyen u - moyen a: -0.62649 0.1140 32.9 -5.513 0.0008
moyen u - lent a: -0.58765 0.1140 33.3 -5.154 0.0021
moyen u - rapide u: 0.30731 0.1150 34.8 2.665 0.5584
moyen u - moyen u: 0.52232 0.1140 32.9 4.596 0.0100
moyen u - lent u: 0.68499 0.1140 33.3 6.008 0.0002
moyen u - rapide e: -1.41333 0.1150 34.8 -12.256 <.0001
moyen u - moyen e: -1.50940 0.1140 32.9 -13.281 <.0001
moyen u - lent e: -1.61029 0.1140 33.3 -14.124 <.0001
moyen u - rapide o: 0.12265 0.1150 34.8 1.064 1.0000
moyen u - moyen o: 0.25371 0.1140 32.9 2.232 0.8273
moyen u - lent o: 0.42938 0.1140 33.3 3.766 0.0770
lent u - rapide i: -2.11156 0.1160 35.6 -18.180 <.0001
lent u - moyen i: -2.19196 0.1140 33.3 -19.226 <.0001
lent u - lent i: -2.29660 0.1140 32.9 -20.208 <.0001
lent u - rapide a: -0.71528 0.1160 35.6 -6.159 0.0001
lent u - moyen a: -0.68051 0.1140 33.3 -5.969 0.0002
lent u - lent a: -0.64168 0.1140 32.9 -5.646 0.0006
lent u - rapide u: 0.25329 0.1160 35.6 2.181 0.8543
lent u - moyen u: 0.46830 0.1140 33.3 4.107 0.0342
lent u - lent u: 0.63097 0.1140 32.9 5.552 0.0007
lent u - rapide e: -1.46735 0.1160 35.6 -12.634 <.0001
lent u - moyen e: -1.56342 0.1140 33.3 -13.713 <.0001
lent u - lent e: -1.66431 0.1140 32.9 -14.644 <.0001
lent u - rapide o: 0.06863 0.1160 35.6 0.591 1.0000
lent u - moyen o: 0.19969 0.1140 33.3 1.751 0.9779
lent u - lent o: 0.37536 0.1140 32.9 3.303 0.2049
rapide i: - moyen i: -0.08040 0.0256 22.3 -3.144 0.2971
rapide i: - lent i: -0.18504 0.0291 17.4 -6.361 0.0009
rapide i: - rapide a: 1.39628 0.1140 32.9 12.286 <.0001
rapide i: - moyen a: 1.43105 0.1150 34.8 12.410 <.0001
rapide i: - lent a: 1.46989 0.1160 35.6 12.656 <.0001
rapide i: - rapide u: 2.36485 0.1140 32.9 20.808 <.0001
rapide i: - moyen u: 2.57986 0.1150 34.8 22.372 <.0001
rapide i: - lent u: 2.74253 0.1160 35.6 23.613 <.0001
rapide i: - rapide e: 0.64421 0.1140 32.9 5.668 0.0005
rapide i: - moyen e: 0.54814 0.1150 34.8 4.753 0.0060
rapide i: - lent e: 0.44725 0.1160 35.6 3.851 0.0606
rapide i: - rapide o: 2.18019 0.1140 32.9 19.184 <.0001
rapide i: - moyen o: 2.31125 0.1150 34.8 20.043 <.0001
rapide i: - lent o: 2.48692 0.1160 35.6 21.412 <.0001
moyen i: - lent i: -0.10464 0.0189 82.8 -5.549 0.0001
moyen i: - rapide a: 1.47668 0.1150 34.8 12.806 <.0001
moyen i: - moyen a: 1.51145 0.1140 32.9 13.299 <.0001
moyen i: - lent a: 1.55029 0.1140 33.3 13.597 <.0001
moyen i: - rapide u: 2.44525 0.1150 34.8 21.205 <.0001
moyen i: - moyen u: 2.66026 0.1140 32.9 23.408 <.0001
moyen i: - lent u: 2.82293 0.1140 33.3 24.760 <.0001
moyen i: - rapide e: 0.72461 0.1150 34.8 6.284 0.0001
moyen i: - moyen e: 0.62854 0.1140 32.9 5.531 0.0008
moyen i: - lent e: 0.52765 0.1140 33.3 4.628 0.0090
moyen i: - rapide o: 2.26059 0.1150 34.8 19.604 <.0001
moyen i: - moyen o: 2.39165 0.1140 32.9 21.044 <.0001
moyen i: - lent o: 2.56732 0.1140 33.3 22.518 <.0001
lent i: - rapide a: 1.58132 0.1160 35.6 13.615 <.0001
lent i: - moyen a: 1.61609 0.1140 33.3 14.175 <.0001
lent i: - lent a: 1.65493 0.1140 32.9 14.562 <.0001
lent i: - rapide u: 2.54990 0.1160 35.6 21.954 <.0001
lent i: - moyen u: 2.76490 0.1140 33.3 24.251 <.0001
lent i: - lent u: 2.92757 0.1140 32.9 25.760 <.0001
lent i: - rapide e: 0.82925 0.1160 35.6 7.140 <.0001
lent i: - moyen e: 0.73318 0.1140 33.3 6.431 0.0001
lent i: - lent e: 0.63229 0.1140 32.9 5.564 0.0007
lent i: - rapide o: 2.36523 0.1160 35.6 20.364 <.0001
lent i: - moyen o: 2.49629 0.1140 33.3 21.895 <.0001
lent i: - lent o: 2.67196 0.1140 32.9 23.511 <.0001
rapide a: - moyen a: 0.03477 0.0256 22.3 1.360 0.9985
rapide a: - lent a: 0.07361 0.0291 17.4 2.530 0.6478
rapide a: - rapide u: 0.96858 0.1140 32.9 8.523 <.0001
rapide a: - moyen u: 1.18358 0.1150 34.8 10.264 <.0001
rapide a: - lent u: 1.34625 0.1160 35.6 11.591 <.0001
rapide a: - rapide e: -0.75207 0.1140 32.9 -6.617 <.0001
rapide a: - moyen e: -0.84814 0.1150 34.8 -7.355 <.0001
rapide a: - lent e: -0.94903 0.1160 35.6 -8.171 <.0001
rapide a: - rapide o: 0.78391 0.1140 32.9 6.898 <.0001
rapide a: - moyen o: 0.91497 0.1150 34.8 7.935 <.0001
rapide a: - lent o: 1.09064 0.1160 35.6 9.390 <.0001
moyen a: - lent a: 0.03884 0.0189 82.8 2.060 0.9179
moyen a: - rapide u: 0.93381 0.1150 34.8 8.098 <.0001
moyen a: - moyen u: 1.14881 0.1140 32.9 10.108 <.0001
moyen a: - lent u: 1.31148 0.1140 33.3 11.503 <.0001
moyen a: - rapide e: -0.78684 0.1150 34.8 -6.823 <.0001
moyen a: - moyen e: -0.88291 0.1140 32.9 -7.769 <.0001
moyen a: - lent e: -0.98380 0.1140 33.3 -8.629 <.0001
moyen a: - rapide o: 0.74914 0.1150 34.8 6.497 <.0001
moyen a: - moyen o: 0.88020 0.1140 32.9 7.745 <.0001
moyen a: - lent o: 1.05587 0.1140 33.3 9.261 <.0001
lent a: - rapide u: 0.89497 0.1160 35.6 7.706 <.0001
lent a: - moyen u: 1.10998 0.1140 33.3 9.736 <.0001
lent a: - lent u: 1.27265 0.1140 32.9 11.198 <.0001
lent a: - rapide e: -0.82568 0.1160 35.6 -7.109 <.0001
lent a: - moyen e: -0.92175 0.1140 33.3 -8.085 <.0001
lent a: - lent e: -1.02264 0.1140 32.9 -8.998 <.0001
lent a: - rapide o: 0.71030 0.1160 35.6 6.116 0.0001
lent a: - moyen o: 0.84136 0.1140 33.3 7.380 <.0001
lent a: - lent o: 1.01703 0.1140 32.9 8.949 <.0001
rapide u: - moyen u: 0.21501 0.0256 22.3 8.408 <.0001
rapide u: - lent u: 0.37768 0.0291 17.4 12.983 <.0001
rapide u: - rapide e: -1.72065 0.1140 32.9 -15.140 <.0001
rapide u: - moyen e: -1.81672 0.1150 34.8 -15.754 <.0001
rapide u: - lent e: -1.91761 0.1160 35.6 -16.510 <.0001
rapide u: - rapide o: -0.18467 0.1140 32.9 -1.625 0.9902
rapide u: - moyen o: -0.05361 0.1150 34.8 -0.465 1.0000
rapide u: - lent o: 0.12207 0.1160 35.6 1.051 1.0000
moyen u: - lent u: 0.16267 0.0189 82.8 8.626 <.0001
moyen u: - rapide e: -1.93565 0.1150 34.8 -16.786 <.0001
moyen u: - moyen e: -2.03172 0.1140 32.9 -17.877 <.0001
moyen u: - lent e: -2.13262 0.1140 33.3 -18.705 <.0001
moyen u: - rapide o: -0.39967 0.1150 34.8 -3.466 0.1454
moyen u: - moyen o: -0.26861 0.1140 32.9 -2.364 0.7544
moyen u: - lent o: -0.09294 0.1140 33.3 -0.815 1.0000
lent u: - rapide e: -2.09832 0.1160 35.6 -18.066 <.0001
lent u: - moyen e: -2.19439 0.1140 33.3 -19.247 <.0001
lent u: - lent e: -2.29529 0.1140 32.9 -20.196 <.0001
lent u: - rapide o: -0.56234 0.1160 35.6 -4.842 0.0045
lent u: - moyen o: -0.43128 0.1140 33.3 -3.783 0.0741
lent u: - lent o: -0.25561 0.1140 32.9 -2.249 0.8186
rapide e: - moyen e: -0.09607 0.0256 22.3 -3.757 0.1012
rapide e: - lent e: -0.19696 0.0291 17.4 -6.771 0.0004
rapide e: - rapide o: 1.53598 0.1140 32.9 13.515 <.0001
rapide e: - moyen o: 1.66704 0.1150 34.8 14.457 <.0001
rapide e: - lent o: 1.84271 0.1160 35.6 15.866 <.0001
moyen e: - lent e: -0.10089 0.0189 82.8 -5.350 0.0002
moyen e: - rapide o: 1.63205 0.1150 34.8 14.153 <.0001
moyen e: - moyen o: 1.76311 0.1140 32.9 15.514 <.0001
moyen e: - lent o: 1.93878 0.1140 33.3 17.005 <.0001
lent e: - rapide o: 1.73294 0.1160 35.6 14.921 <.0001
lent e: - moyen o: 1.86400 0.1140 33.3 16.349 <.0001
lent e: - lent o: 2.03967 0.1140 32.9 17.947 <.0001
rapide o: - moyen o: 0.13106 0.0256 22.3 5.125 0.0055
rapide o: - lent o: 0.30673 0.0291 17.4 10.544 <.0001
moyen o: - lent o: 0.17567 0.0189 82.8 9.316 <.0001
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 24 estimates 8 F1midnor - Subset 1 - Timbre
8.1 Optimal model
8.1.1 Read Rds
lm.mod.Optimal <- readRDS("lm.mod.Optimal.F1midnorTimbreSub.Rds")8.1.2 Summary
summary(lm.mod.Optimal)Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: F1midnor ~ Longueur * Timbre * Debit + Sex + (Timbre | Speaker) + (1 | Word)
Data: ArabicSub1
Control: lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+05))
REML criterion at convergence: 5489.6
Scaled residuals:
Min 1Q Median 3Q Max
-6.3965 -0.5766 -0.0164 0.5838 5.9211
Random effects:
Groups Name Variance Std.Dev. Corr
Word (Intercept) 0.04035 0.2009
Speaker (Intercept) 0.23363 0.4834
Timbrei 0.13816 0.3717 -0.93
Timbreu 0.10758 0.3280 -0.89 0.96
Residual 0.12011 0.3466
Number of obs: 7200, groups: Word, 30; Speaker, 10
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 1.882e+00 1.870e-01 1.803e+01 10.065 7.95e-09 ***
Longueurcourte -9.507e-01 1.294e-01 2.519e+01 -7.348 1.02e-07 ***
Timbrei -2.588e+00 1.748e-01 2.860e+01 -14.806 6.07e-15 ***
Timbreu -2.250e+00 1.658e-01 3.121e+01 -13.568 1.24e-14 ***
Debitmoyen 2.148e-02 2.451e-02 7.131e+03 0.877 0.380756
Debitlent 1.172e-01 2.451e-02 7.131e+03 4.784 1.75e-06 ***
Sexm -4.727e-01 1.138e-01 8.000e+00 -4.153 0.003194 **
Longueurcourte:Timbrei 1.594e+00 1.830e-01 2.519e+01 8.710 4.52e-09 ***
Longueurcourte:Timbreu 1.330e+00 1.830e-01 2.519e+01 7.266 1.24e-07 ***
Longueurcourte:Debitmoyen 4.086e-03 3.466e-02 7.131e+03 0.118 0.906158
Longueurcourte:Debitlent -3.440e-02 3.466e-02 7.131e+03 -0.993 0.320969
Timbrei:Debitmoyen -2.358e-01 3.466e-02 7.131e+03 -6.804 1.10e-11 ***
Timbreu:Debitmoyen -2.652e-01 3.466e-02 7.131e+03 -7.651 2.26e-14 ***
Timbrei:Debitlent -3.693e-01 3.466e-02 7.131e+03 -10.655 < 2e-16 ***
Timbreu:Debitlent -4.079e-01 3.466e-02 7.131e+03 -11.769 < 2e-16 ***
Longueurcourte:Timbrei:Debitmoyen 7.997e-02 4.901e-02 7.131e+03 1.632 0.102821
Longueurcourte:Timbreu:Debitmoyen 1.584e-01 4.901e-02 7.131e+03 3.232 0.001234 **
Longueurcourte:Timbrei:Debitlent 1.658e-01 4.901e-02 7.131e+03 3.382 0.000722 ***
Longueurcourte:Timbreu:Debitlent 2.861e-01 4.901e-02 7.131e+03 5.838 5.52e-09 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation matrix not shown by default, as p = 19 > 12.
Use print(x, correlation=TRUE) or
vcov(x) if you need it8.1.3 Anova
print(anova(lm.mod.Optimal))Type III Analysis of Variance Table with Satterthwaite's method
Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
Longueur 0.1798 0.1798 1 24.0 1.4967 0.233060
Timbre 22.5593 11.2796 2 22.3 93.9090 1.387e-11 ***
Debit 14.5352 7.2676 2 7131.0 60.5067 < 2.2e-16 ***
Sex 2.0720 2.0720 1 8.0 17.2501 0.003194 **
Longueur:Timbre 12.3268 6.1634 2 24.0 51.3135 2.149e-09 ***
Longueur:Debit 4.3120 2.1560 2 7131.0 17.9499 1.675e-08 ***
Timbre:Debit 21.3518 5.3380 4 7131.0 44.4413 < 2.2e-16 ***
Longueur:Timbre:Debit 4.1535 1.0384 4 7131.0 8.6451 5.880e-07 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 18.1.4 Model’s fit
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")| F1midnor | |||
|---|---|---|---|
| Predictors | Estimates | CI | p |
| (Intercept) | 1.88 | 1.52 – 2.25 | <0.001 |
| Longueur [courte] | -0.95 | -1.20 – -0.70 | <0.001 |
| Timbre [i] | -2.59 | -2.93 – -2.25 | <0.001 |
| Timbre [u] | -2.25 | -2.58 – -1.92 | <0.001 |
| Debit [moyen] | 0.02 | -0.03 – 0.07 | 0.381 |
| Debit [lent] | 0.12 | 0.07 – 0.17 | <0.001 |
| Sex [m] | -0.47 | -0.70 – -0.25 | <0.001 |
| Longueur [courte] × Timbre [i] |
1.59 | 1.24 – 1.95 | <0.001 |
| Longueur [courte] × Timbre [u] |
1.33 | 0.97 – 1.69 | <0.001 |
| Longueur [courte] × Debit [moyen] |
0.00 | -0.06 – 0.07 | 0.906 |
| Longueur [courte] × Debit [lent] |
-0.03 | -0.10 – 0.03 | 0.321 |
| Timbre [i] × Debit [moyen] |
-0.24 | -0.30 – -0.17 | <0.001 |
| Timbre [u] × Debit [moyen] |
-0.27 | -0.33 – -0.20 | <0.001 |
| Timbre [i] × Debit [lent] | -0.37 | -0.44 – -0.30 | <0.001 |
| Timbre [u] × Debit [lent] | -0.41 | -0.48 – -0.34 | <0.001 |
| (Longueur [courte] × Timbre [i]) × Debit [moyen] |
0.08 | -0.02 – 0.18 | 0.103 |
| (Longueur [courte] × Timbre [u]) × Debit [moyen] |
0.16 | 0.06 – 0.25 | 0.001 |
| (Longueur [courte] × Timbre [i]) × Debit [lent] |
0.17 | 0.07 – 0.26 | 0.001 |
| (Longueur [courte] × Timbre [u]) × Debit [lent] |
0.29 | 0.19 – 0.38 | <0.001 |
| Random Effects | |||
| σ2 | 0.12 | ||
| τ00 Word | 0.04 | ||
| τ00 Speaker | 0.23 | ||
| τ11 Speaker.Timbrei | 0.14 | ||
| τ11 Speaker.Timbreu | 0.11 | ||
| ρ01 Speaker.Timbrei | -0.93 | ||
| ρ01 Speaker.Timbreu | -0.89 | ||
| ICC | 0.56 | ||
| N Speaker | 10 | ||
| N Word | 30 | ||
| Observations | 7200 | ||
| Marginal R2 / Conditional R2 | 0.782 / 0.903 | ||
8.1.5 Evaluating Model’s assumptions - normality of residuals
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
8.1.6 Pairwise Comparison
8.1.6.1 Debit
if (file.exists(file = "emmF1Sub1Debit.Rds")){
emmF1Sub1Debit <- readRDS("emmF1Sub1Debit.Rds")
}else{
emmF1Sub1Debit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
saveRDS(emmF1Sub1Debit, "emmF1Sub1Debit.Rds")
emmF1Sub1Debit <- readRDS("emmF1Sub1Debit.Rds")
}
emmF1Sub1Debit$emmeans
Debit emmean SE df lower.CL upper.CL
rapide 0.0450 0.0975 11.3 -0.169 0.259
moyen -0.0587 0.0975 11.3 -0.273 0.155
lent -0.0387 0.0975 11.3 -0.253 0.175
Results are averaged over the levels of: Longueur, Timbre, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
rapide - moyen 0.1037 0.01 7131 10.369 <.0001
rapide - lent 0.0837 0.01 7131 8.366 <.0001
moyen - lent -0.0200 0.01 7131 -2.002 0.1117
Results are averaged over the levels of: Longueur, Timbre, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 3 estimates 8.1.6.2 Timbre
if (file.exists(file = "emmF1Sub1Timbre.Rds")){
emmF1Sub1Timbre <- readRDS("emmF1Sub1Timbre.Rds")
}else{
emmF1Sub1Timbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre)
saveRDS(emmF1Sub1Timbre, "emmF1Sub1Timbre.Rds")
emmF1Sub1Timbre <- readRDS("emmF1Sub1Timbre.Rds")
}
emmF1Sub1Timbre$emmeans
Timbre emmean SE df lower.CL upper.CL
a 1.212 0.1660 11.8 0.850 1.573
i -0.740 0.0886 24.5 -0.923 -0.558
u -0.524 0.0993 20.1 -0.731 -0.317
Results are averaged over the levels of: Longueur, Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
a - i 1.952 0.1480 19.9 13.165 <.0001
a - u 1.736 0.1380 22.6 12.615 <.0001
i - u -0.217 0.0963 29.2 -2.249 0.0796
Results are averaged over the levels of: Longueur, Debit, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 3 estimates 8.1.6.3 Longueur
if (file.exists(file = "emmF1Sub1Longueur.Rds")){
emmF1Sub1Longueur <- readRDS("emmF1Sub1Longueur.Rds")
}else{
emmF1Sub1Longueur <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur)
saveRDS(emmF1Sub1Longueur, "emmF1Sub1Longueur.Rds")
emmF1Sub1Longueur <- readRDS("emmF1Sub1Longueur.Rds")
}
emmF1Sub1Longueur$emmeans
Longueur emmean SE df lower.CL upper.CL
longue -0.0626 0.104 14.2 -0.286 0.160
courte 0.0277 0.104 14.2 -0.195 0.251
Results are averaged over the levels of: Timbre, Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
longue - courte -0.0903 0.0738 24 -1.223 0.2331
Results are averaged over the levels of: Timbre, Debit, Sex
Degrees-of-freedom method: kenward-roger 8.1.6.4 Longueur x Timbre
if (file.exists(file = "emmF1Sub1LongueurTimbre.Rds")){
emmF1Sub1LongueurTimbre <- readRDS("emmF1Sub1LongueurTimbre.Rds")
}else{
emmF1Sub1LongueurTimbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Timbre)
saveRDS(emmF1Sub1LongueurTimbre, "emmF1Sub1LongueurTimbre.Rds")
emmF1Sub1LongueurTimbre <- readRDS("emmF1Sub1LongueurTimbre.Rds")
}
emmF1Sub1LongueurTimbre$emmeans
Longueur Timbre emmean SE df lower.CL upper.CL
longue a 1.692 0.178 15.2 1.314 2.0703
courte a 0.731 0.178 15.2 0.353 1.1095
longue i -1.098 0.109 31.0 -1.321 -0.8749
courte i -0.383 0.109 31.0 -0.606 -0.1600
longue u -0.782 0.118 28.1 -1.024 -0.5403
courte u -0.265 0.118 28.1 -0.507 -0.0235
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
longue a - courte a 0.961 0.128 24.0 7.517 <.0001
longue a - longue i 2.790 0.174 27.9 16.066 <.0001
longue a - courte i 2.075 0.174 27.9 11.949 <.0001
longue a - longue u 2.474 0.165 30.3 15.031 <.0001
longue a - courte u 1.958 0.165 30.3 11.891 <.0001
courte a - longue i 1.829 0.174 27.9 10.533 <.0001
courte a - courte i 1.114 0.174 27.9 6.416 <.0001
courte a - longue u 1.514 0.165 30.3 9.194 <.0001
courte a - courte u 0.997 0.165 30.3 6.055 <.0001
longue i - courte i -0.715 0.128 24.0 -5.592 0.0001
longue i - longue u -0.316 0.132 26.9 -2.390 0.1954
longue i - courte u -0.832 0.132 26.9 -6.303 <.0001
courte i - longue u 0.399 0.132 26.9 3.024 0.0547
courte i - courte u -0.118 0.132 26.9 -0.890 0.9457
longue u - courte u -0.517 0.128 24.0 -4.043 0.0056
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 6 estimates 8.1.6.5 Longueur x Debit
if (file.exists(file = "emmF1Sub1LongueurDebit.Rds")){
emmF1Sub1LongueurDebit <- readRDS("emmF1Sub1LongueurDebit.Rds")
}else{
emmF1Sub1LongueurDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Debit)
saveRDS(emmF1Sub1LongueurDebit, "emmF1Sub1LongueurDebit.Rds")
emmF1Sub1LongueurDebit <- readRDS("emmF1Sub1LongueurDebit.Rds")
}
emmF1Sub1LongueurDebit$emmeans
Longueur Debit emmean SE df lower.CL upper.CL
longue rapide 0.03318 0.104 14.4 -0.190 0.257
courte rapide 0.05687 0.104 14.4 -0.167 0.280
longue moyen -0.11233 0.104 14.4 -0.336 0.111
courte moyen -0.00509 0.104 14.4 -0.228 0.218
longue lent -0.10865 0.104 14.4 -0.332 0.115
courte lent 0.03129 0.104 14.4 -0.192 0.255
Results are averaged over the levels of: Timbre, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
longue rapide - courte rapide -0.02369 0.0747 25.2 -0.317 0.9995
longue rapide - longue moyen 0.14551 0.0141 7131.0 10.284 <.0001
longue rapide - courte moyen 0.03827 0.0747 25.2 0.512 0.9952
longue rapide - longue lent 0.14182 0.0141 7131.0 10.024 <.0001
longue rapide - courte lent 0.00189 0.0747 25.2 0.025 1.0000
courte rapide - longue moyen 0.16920 0.0747 25.2 2.265 0.2450
courte rapide - courte moyen 0.06196 0.0141 7131.0 4.379 0.0002
courte rapide - longue lent 0.16552 0.0747 25.2 2.216 0.2657
courte rapide - courte lent 0.02558 0.0141 7131.0 1.808 0.4604
longue moyen - courte moyen -0.10724 0.0747 25.2 -1.436 0.7059
longue moyen - longue lent -0.00369 0.0141 7131.0 -0.261 0.9998
longue moyen - courte lent -0.14362 0.0747 25.2 -1.923 0.4123
courte moyen - longue lent 0.10355 0.0747 25.2 1.386 0.7346
courte moyen - courte lent -0.03638 0.0141 7131.0 -2.571 0.1045
longue lent - courte lent -0.13993 0.0747 25.2 -1.873 0.4404
Results are averaged over the levels of: Timbre, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 6 estimates 8.1.6.6 Timbre x Debit
if (file.exists(file = "emmF1Sub1TimbreDebit.Rds")){
emmF1Sub1TimbreDebit <- readRDS("emmF1Sub1TimbreDebit.Rds")
}else{
emmF1Sub1TimbreDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre:Debit)
saveRDS(emmF1Sub1TimbreDebit, "emmF1Sub1TimbreDebit.Rds")
emmF1Sub1TimbreDebit <- readRDS("emmF1Sub1TimbreDebit.Rds")
}
emmF1Sub1TimbreDebit$emmeans
Timbre Debit emmean SE df lower.CL upper.CL
a rapide 1.171 0.1660 11.9 0.809 1.532
i rapide -0.621 0.0892 25.2 -0.804 -0.437
u rapide -0.415 0.0998 20.5 -0.623 -0.207
a moyen 1.194 0.1660 11.9 0.832 1.556
i moyen -0.793 0.0892 25.2 -0.977 -0.609
u moyen -0.577 0.0998 20.5 -0.785 -0.369
a lent 1.271 0.1660 11.9 0.909 1.632
i lent -0.807 0.0892 25.2 -0.991 -0.624
u lent -0.579 0.0998 20.5 -0.787 -0.372
Results are averaged over the levels of: Longueur, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
a rapide - i rapide 1.79132 0.1490 20.3 12.026 <.0001
a rapide - u rapide 1.58525 0.1380 23.0 11.462 <.0001
a rapide - a moyen -0.02352 0.0173 7131.0 -1.358 0.9135
a rapide - i moyen 1.96363 0.1490 20.3 13.183 <.0001
a rapide - u moyen 1.74768 0.1380 23.0 12.636 <.0001
a rapide - a lent -0.10004 0.0173 7131.0 -5.773 <.0001
a rapide - i lent 1.97768 0.1490 20.3 13.277 <.0001
a rapide - u lent 1.75005 0.1380 23.0 12.653 <.0001
i rapide - u rapide -0.20607 0.0973 30.5 -2.118 0.4807
i rapide - a moyen -1.81485 0.1490 20.3 -12.184 <.0001
i rapide - i moyen 0.17231 0.0173 7131.0 9.943 <.0001
i rapide - u moyen -0.04364 0.0973 30.5 -0.448 0.9999
i rapide - a lent -1.89136 0.1490 20.3 -12.698 <.0001
i rapide - i lent 0.18636 0.0173 7131.0 10.754 <.0001
i rapide - u lent -0.04128 0.0973 30.5 -0.424 1.0000
u rapide - a moyen -1.60878 0.1380 23.0 -11.632 <.0001
u rapide - i moyen 0.37838 0.0973 30.5 3.888 0.0130
u rapide - u moyen 0.16243 0.0173 7131.0 9.374 <.0001
u rapide - a lent -1.68529 0.1380 23.0 -12.185 <.0001
u rapide - i lent 0.39243 0.0973 30.5 4.033 0.0090
u rapide - u lent 0.16479 0.0173 7131.0 9.510 <.0001
a moyen - i moyen 1.98715 0.1490 20.3 13.341 <.0001
a moyen - u moyen 1.77121 0.1380 23.0 12.806 <.0001
a moyen - a lent -0.07651 0.0173 7131.0 -4.415 0.0003
a moyen - i lent 2.00120 0.1490 20.3 13.435 <.0001
a moyen - u lent 1.77357 0.1380 23.0 12.823 <.0001
i moyen - u moyen -0.21595 0.0973 30.5 -2.219 0.4192
i moyen - a lent -2.06367 0.1490 20.3 -13.855 <.0001
i moyen - i lent 0.01405 0.0173 7131.0 0.811 0.9966
i moyen - u lent -0.21358 0.0973 30.5 -2.195 0.4336
u moyen - a lent -1.84772 0.1380 23.0 -13.360 <.0001
u moyen - i lent 0.23000 0.0973 30.5 2.363 0.3385
u moyen - u lent 0.00236 0.0173 7131.0 0.136 1.0000
a lent - i lent 2.07772 0.1490 20.3 13.949 <.0001
a lent - u lent 1.85009 0.1380 23.0 13.377 <.0001
i lent - u lent -0.22763 0.0973 30.5 -2.339 0.3514
Results are averaged over the levels of: Longueur, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 9 estimates 8.1.6.7 Longueur x Timbre x Debit
if (file.exists(file = "emmF1Sub1LongueurTimbreDebit.Rds")){
emmF1Sub1LongueurTimbreDebit <- readRDS("emmF1Sub1LongueurTimbreDebit.Rds")
}else{
emmF1Sub1LongueurTimbreDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Timbre:Debit)
saveRDS(emmF1Sub1LongueurTimbreDebit, "emmF1Sub1LongueurTimbreDebit.Rds")
emmF1Sub1LongueurTimbreDebit <- readRDS("emmF1Sub1LongueurTimbreDebit.Rds")
}
emmF1Sub1LongueurTimbreDebit$emmeans
Longueur Timbre Debit emmean SE df lower.CL upper.CL
longue a rapide 1.646 0.178 15.3 1.267 2.0249
courte a rapide 0.695 0.178 15.3 0.316 1.0741
longue i rapide -0.942 0.110 32.0 -1.167 -0.7179
courte i rapide -0.299 0.110 32.0 -0.524 -0.0748
longue u rapide -0.604 0.119 28.9 -0.847 -0.3608
courte u rapide -0.225 0.119 28.9 -0.469 0.0180
longue a moyen 1.667 0.178 15.3 1.288 2.0464
courte a moyen 0.721 0.178 15.3 0.342 1.0997
longue i moyen -1.157 0.110 32.0 -1.381 -0.9322
courte i moyen -0.430 0.110 32.0 -0.654 -0.2051
longue u moyen -0.848 0.119 28.9 -1.091 -0.6045
courte u moyen -0.307 0.119 28.9 -0.550 -0.0632
longue a lent 1.763 0.178 15.3 1.384 2.1421
courte a lent 0.778 0.178 15.3 0.399 1.1570
longue i lent -1.194 0.110 32.0 -1.419 -0.9699
courte i lent -0.420 0.110 32.0 -0.644 -0.1955
longue u lent -0.895 0.119 28.9 -1.138 -0.6514
courte u lent -0.264 0.119 28.9 -0.508 -0.0209
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
longue a rapide - courte a rapide 0.95074 0.1290 25.2 7.348 <.0001
longue a rapide - longue i rapide 2.58823 0.1750 28.6 14.806 <.0001
longue a rapide - courte i rapide 1.94516 0.1750 28.6 11.128 <.0001
longue a rapide - longue u rapide 2.25000 0.1660 31.2 13.568 <.0001
longue a rapide - courte u rapide 1.87125 0.1660 31.2 11.284 <.0001
longue a rapide - longue a moyen -0.02148 0.0245 7131.0 -0.877 1.0000
longue a rapide - courte a moyen 0.92518 0.1290 25.2 7.151 <.0001
longue a rapide - longue i moyen 2.80256 0.1750 28.6 16.033 <.0001
longue a rapide - courte i moyen 2.07544 0.1750 28.6 11.873 <.0001
longue a rapide - longue u moyen 2.49369 0.1660 31.2 15.038 <.0001
longue a rapide - courte u moyen 1.95242 0.1660 31.2 11.774 <.0001
longue a rapide - longue a lent -0.11724 0.0245 7131.0 -4.784 0.0003
longue a rapide - courte a lent 0.86790 0.1290 25.2 6.708 0.0001
longue a rapide - longue i lent 2.84028 0.1750 28.6 16.248 <.0001
longue a rapide - courte i lent 2.06583 0.1750 28.6 11.818 <.0001
longue a rapide - longue u lent 2.54066 0.1660 31.2 15.321 <.0001
longue a rapide - courte u lent 1.91018 0.1660 31.2 11.519 <.0001
courte a rapide - longue i rapide 1.63748 0.1750 28.6 9.368 <.0001
courte a rapide - courte i rapide 0.99442 0.1750 28.6 5.689 0.0004
courte a rapide - longue u rapide 1.29926 0.1660 31.2 7.835 <.0001
courte a rapide - courte u rapide 0.92050 0.1660 31.2 5.551 0.0005
courte a rapide - longue a moyen -0.97222 0.1290 25.2 -7.514 <.0001
courte a rapide - courte a moyen -0.02557 0.0245 7131.0 -1.043 0.9999
courte a rapide - longue i moyen 1.85182 0.1750 28.6 10.594 <.0001
courte a rapide - courte i moyen 1.12470 0.1750 28.6 6.434 0.0001
courte a rapide - longue u moyen 1.54294 0.1660 31.2 9.304 <.0001
courte a rapide - courte u moyen 1.00168 0.1660 31.2 6.040 0.0001
courte a rapide - longue a lent -1.06798 0.1290 25.2 -8.254 <.0001
courte a rapide - courte a lent -0.08284 0.0245 7131.0 -3.380 0.0705
courte a rapide - longue i lent 1.88953 0.1750 28.6 10.809 <.0001
courte a rapide - courte i lent 1.11508 0.1750 28.6 6.379 0.0001
courte a rapide - longue u lent 1.58992 0.1660 31.2 9.588 <.0001
courte a rapide - courte u lent 0.95943 0.1660 31.2 5.786 0.0003
longue i rapide - courte i rapide -0.64306 0.1290 25.2 -4.970 0.0038
longue i rapide - longue u rapide -0.33822 0.1340 28.2 -2.532 0.5272
longue i rapide - courte u rapide -0.71698 0.1340 28.2 -5.368 0.0011
longue i rapide - longue a moyen -2.60971 0.1750 28.6 -14.929 <.0001
longue i rapide - courte a moyen -1.66305 0.1750 28.6 -9.514 <.0001
longue i rapide - longue i moyen 0.21433 0.0245 7131.0 8.746 <.0001
longue i rapide - courte i moyen -0.51279 0.1290 25.2 -3.963 0.0403
longue i rapide - longue u moyen -0.09454 0.1340 28.2 -0.708 1.0000
longue i rapide - courte u moyen -0.63580 0.1340 28.2 -4.760 0.0052
longue i rapide - longue a lent -2.70547 0.1750 28.6 -15.477 <.0001
longue i rapide - courte a lent -1.72032 0.1750 28.6 -9.841 <.0001
longue i rapide - longue i lent 0.25205 0.0245 7131.0 10.285 <.0001
longue i rapide - courte i lent -0.52240 0.1290 25.2 -4.038 0.0342
longue i rapide - longue u lent -0.04757 0.1340 28.2 -0.356 1.0000
longue i rapide - courte u lent -0.67805 0.1340 28.2 -5.076 0.0023
courte i rapide - longue u rapide 0.30484 0.1340 28.2 2.282 0.6882
courte i rapide - courte u rapide -0.07392 0.1340 28.2 -0.553 1.0000
courte i rapide - longue a moyen -1.96664 0.1750 28.6 -11.251 <.0001
courte i rapide - courte a moyen -1.01999 0.1750 28.6 -5.835 0.0003
courte i rapide - longue i moyen 0.85740 0.1290 25.2 6.627 0.0001
courte i rapide - courte i moyen 0.13028 0.0245 7131.0 5.316 <.0001
courte i rapide - longue u moyen 0.54852 0.1340 28.2 4.107 0.0259
courte i rapide - courte u moyen 0.00726 0.1340 28.2 0.054 1.0000
courte i rapide - longue a lent -2.06240 0.1750 28.6 -11.798 <.0001
courte i rapide - courte a lent -1.07726 0.1750 28.6 -6.163 0.0001
courte i rapide - longue i lent 0.89511 0.1290 25.2 6.918 <.0001
courte i rapide - courte i lent 0.12066 0.0245 7131.0 4.924 0.0001
courte i rapide - longue u lent 0.59550 0.1340 28.2 4.458 0.0110
courte i rapide - courte u lent -0.03499 0.1340 28.2 -0.262 1.0000
longue u rapide - courte u rapide -0.37876 0.1290 25.2 -2.927 0.3043
longue u rapide - longue a moyen -2.27149 0.1660 31.2 -13.698 <.0001
longue u rapide - courte a moyen -1.32483 0.1660 31.2 -7.989 <.0001
longue u rapide - longue i moyen 0.55255 0.1340 28.2 4.137 0.0241
longue u rapide - courte i moyen -0.17456 0.1340 28.2 -1.307 0.9958
longue u rapide - longue u moyen 0.24368 0.0245 7131.0 9.944 <.0001
longue u rapide - courte u moyen -0.29758 0.1290 25.2 -2.300 0.6766
longue u rapide - longue a lent -2.36724 0.1660 31.2 -14.275 <.0001
longue u rapide - courte a lent -1.38210 0.1660 31.2 -8.335 <.0001
longue u rapide - longue i lent 0.59027 0.1340 28.2 4.419 0.0122
longue u rapide - courte i lent -0.18418 0.1340 28.2 -1.379 0.9927
longue u rapide - longue u lent 0.29066 0.0245 7131.0 11.860 <.0001
longue u rapide - courte u lent -0.33983 0.1290 25.2 -2.626 0.4706
courte u rapide - longue a moyen -1.89273 0.1660 31.2 -11.414 <.0001
courte u rapide - courte a moyen -0.94607 0.1660 31.2 -5.705 0.0003
courte u rapide - longue i moyen 0.93131 0.1340 28.2 6.973 <.0001
courte u rapide - courte i moyen 0.20420 0.1340 28.2 1.529 0.9802
courte u rapide - longue u moyen 0.62244 0.1290 25.2 4.811 0.0056
courte u rapide - courte u moyen 0.08118 0.0245 7131.0 3.313 0.0864
courte u rapide - longue a lent -1.98848 0.1660 31.2 -11.991 <.0001
courte u rapide - courte a lent -1.00334 0.1660 31.2 -6.050 0.0001
courte u rapide - longue i lent 0.96903 0.1340 28.2 7.255 <.0001
courte u rapide - courte i lent 0.19458 0.1340 28.2 1.457 0.9874
courte u rapide - longue u lent 0.66942 0.1290 25.2 5.174 0.0023
courte u rapide - courte u lent 0.03893 0.0245 7131.0 1.589 0.9831
longue a moyen - courte a moyen 0.94666 0.1290 25.2 7.317 <.0001
longue a moyen - longue i moyen 2.82404 0.1750 28.6 16.155 <.0001
longue a moyen - courte i moyen 2.09692 0.1750 28.6 11.996 <.0001
longue a moyen - longue u moyen 2.51517 0.1660 31.2 15.167 <.0001
longue a moyen - courte u moyen 1.97391 0.1660 31.2 11.903 <.0001
longue a moyen - longue a lent -0.09576 0.0245 7131.0 -3.907 0.0115
longue a moyen - courte a lent 0.88939 0.1290 25.2 6.874 <.0001
longue a moyen - longue i lent 2.86176 0.1750 28.6 16.371 <.0001
longue a moyen - courte i lent 2.08731 0.1750 28.6 11.941 <.0001
longue a moyen - longue u lent 2.56214 0.1660 31.2 15.451 <.0001
longue a moyen - courte u lent 1.93166 0.1660 31.2 11.649 <.0001
courte a moyen - longue i moyen 1.87738 0.1750 28.6 10.740 <.0001
courte a moyen - courte i moyen 1.15027 0.1750 28.6 6.580 <.0001
courte a moyen - longue u moyen 1.56851 0.1660 31.2 9.459 <.0001
courte a moyen - courte u moyen 1.02725 0.1660 31.2 6.195 0.0001
courte a moyen - longue a lent -1.04241 0.1290 25.2 -8.057 <.0001
courte a moyen - courte a lent -0.05727 0.0245 7131.0 -2.337 0.6560
courte a moyen - longue i lent 1.91510 0.1750 28.6 10.956 <.0001
courte a moyen - courte i lent 1.14065 0.1750 28.6 6.525 <.0001
courte a moyen - longue u lent 1.61549 0.1660 31.2 9.742 <.0001
courte a moyen - courte u lent 0.98500 0.1660 31.2 5.940 0.0002
longue i moyen - courte i moyen -0.72712 0.1290 25.2 -5.620 0.0008
longue i moyen - longue u moyen -0.30887 0.1340 28.2 -2.312 0.6692
longue i moyen - courte u moyen -0.85013 0.1340 28.2 -6.365 0.0001
longue i moyen - longue a lent -2.91980 0.1750 28.6 -16.703 <.0001
longue i moyen - courte a lent -1.93465 0.1750 28.6 -11.068 <.0001
longue i moyen - longue i lent 0.03772 0.0245 7131.0 1.539 0.9878
longue i moyen - courte i lent -0.73673 0.1290 25.2 -5.694 0.0007
longue i moyen - longue u lent -0.26190 0.1340 28.2 -1.961 0.8639
longue i moyen - courte u lent -0.89238 0.1340 28.2 -6.681 <.0001
courte i moyen - longue u moyen 0.41824 0.1340 28.2 3.131 0.2094
courte i moyen - courte u moyen -0.12302 0.1340 28.2 -0.921 0.9999
courte i moyen - longue a lent -2.19268 0.1750 28.6 -12.544 <.0001
courte i moyen - courte a lent -1.20754 0.1750 28.6 -6.908 <.0001
courte i moyen - longue i lent 0.76483 0.1290 25.2 5.911 0.0004
courte i moyen - courte i lent -0.00962 0.0245 7131.0 -0.392 1.0000
courte i moyen - longue u lent 0.46522 0.1340 28.2 3.483 0.1051
courte i moyen - courte u lent -0.16527 0.1340 28.2 -1.237 0.9977
longue u moyen - courte u moyen -0.54126 0.1290 25.2 -4.183 0.0246
longue u moyen - longue a lent -2.61092 0.1660 31.2 -15.745 <.0001
longue u moyen - courte a lent -1.62578 0.1660 31.2 -9.804 <.0001
longue u moyen - longue i lent 0.34659 0.1340 28.2 2.595 0.4873
longue u moyen - courte i lent -0.42786 0.1340 28.2 -3.203 0.1832
longue u moyen - longue u lent 0.04698 0.0245 7131.0 1.917 0.9058
longue u moyen - courte u lent -0.58351 0.1290 25.2 -4.510 0.0115
courte u moyen - longue a lent -2.06966 0.1660 31.2 -12.481 <.0001
courte u moyen - courte a lent -1.08452 0.1660 31.2 -6.540 <.0001
courte u moyen - longue i lent 0.88785 0.1340 28.2 6.647 <.0001
courte u moyen - courte i lent 0.11340 0.1340 28.2 0.849 1.0000
courte u moyen - longue u lent 0.58824 0.1290 25.2 4.546 0.0106
courte u moyen - courte u lent -0.04225 0.0245 7131.0 -1.724 0.9623
longue a lent - courte a lent 0.98514 0.1290 25.2 7.614 <.0001
longue a lent - longue i lent 2.95751 0.1750 28.6 16.919 <.0001
longue a lent - courte i lent 2.18306 0.1750 28.6 12.489 <.0001
longue a lent - longue u lent 2.65790 0.1660 31.2 16.028 <.0001
longue a lent - courte u lent 2.02741 0.1660 31.2 12.226 <.0001
courte a lent - longue i lent 1.97237 0.1750 28.6 11.283 <.0001
courte a lent - courte i lent 1.19792 0.1750 28.6 6.853 <.0001
courte a lent - longue u lent 1.67276 0.1660 31.2 10.087 <.0001
courte a lent - courte u lent 1.04227 0.1660 31.2 6.285 0.0001
longue i lent - courte i lent -0.77445 0.1290 25.2 -5.986 0.0003
longue i lent - longue u lent -0.29961 0.1340 28.2 -2.243 0.7124
longue i lent - courte u lent -0.93010 0.1340 28.2 -6.963 <.0001
courte i lent - longue u lent 0.47484 0.1340 28.2 3.555 0.0903
courte i lent - courte u lent -0.15565 0.1340 28.2 -1.165 0.9988
longue u lent - courte u lent -0.63049 0.1290 25.2 -4.873 0.0048
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 18 estimates 9 F2midnor - Subset 1 - Timbre
9.1 Optimal model
9.1.1 Read Rds
lm.mod.Optimal <- readRDS("lm.mod.Optimal.F2midnorTimbreSub.Rds")9.1.2 Summary
summary(lm.mod.Optimal)Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: F2midnor ~ Longueur * Timbre * Debit + Sex + (Timbre | Speaker) + (1 | Word)
Data: ArabicSub1
Control: lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+05))
REML criterion at convergence: -2337.2
Scaled residuals:
Min 1Q Median 3Q Max
-6.7129 -0.6228 0.0034 0.6087 4.5787
Random effects:
Groups Name Variance Std.Dev. Corr
Word (Intercept) 0.03857 0.1964
Speaker (Intercept) 0.03775 0.1943
Timbrei 0.01416 0.1190 0.15
Timbreu 0.06184 0.2487 -0.89 -0.36
Residual 0.04018 0.2004
Number of obs: 7200, groups: Word, 30; Speaker, 10
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.24555 0.11080 32.87331 2.216 0.03371 *
Longueurcourte 0.19950 0.12501 24.41669 1.596 0.12339
Timbrei 1.39628 0.13055 28.37865 10.695 1.82e-11 ***
Timbreu -0.96858 0.14769 33.27485 -6.558 1.81e-07 ***
Debitmoyen -0.03477 0.01417 7130.99998 -2.453 0.01419 *
Debitlent -0.07361 0.01417 7130.99997 -5.193 2.12e-07 ***
Sexm -0.62125 0.05244 8.00002 -11.846 2.37e-06 ***
Longueurcourte:Timbrei -0.87024 0.17680 24.41669 -4.922 4.84e-05 ***
Longueurcourte:Timbreu 0.21232 0.17680 24.41669 1.201 0.24130
Longueurcourte:Debitmoyen 0.02123 0.02004 7130.99998 1.059 0.28953
Longueurcourte:Debitlent 0.05525 0.02004 7130.99997 2.756 0.00586 **
Timbrei:Debitmoyen 0.11517 0.02004 7130.99998 5.746 9.53e-09 ***
Timbreu:Debitmoyen -0.18024 0.02004 7130.99998 -8.992 < 2e-16 ***
Timbrei:Debitlent 0.25865 0.02004 7130.99997 12.904 < 2e-16 ***
Timbreu:Debitlent -0.30407 0.02004 7130.99998 -15.170 < 2e-16 ***
Longueurcourte:Timbrei:Debitmoyen -0.05901 0.02835 7130.99997 -2.082 0.03740 *
Longueurcourte:Timbreu:Debitmoyen 0.08927 0.02835 7130.99998 3.149 0.00164 **
Longueurcourte:Timbrei:Debitlent -0.13820 0.02835 7130.99997 -4.875 1.11e-06 ***
Longueurcourte:Timbreu:Debitlent 0.16391 0.02835 7130.99998 5.782 7.69e-09 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation matrix not shown by default, as p = 19 > 12.
Use print(x, correlation=TRUE) or
vcov(x) if you need it9.1.3 Anova
print(anova(lm.mod.Optimal))Type III Analysis of Variance Table with Satterthwaite's method
Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
Longueur 0.001 0.0011 1 24.0 0.0274 0.8698
Timbre 10.104 5.0521 2 31.6 125.7432 8.878e-16 ***
Debit 4.122 2.0611 2 7131.0 51.2983 < 2.2e-16 ***
Sex 5.638 5.6382 1 8.0 140.3295 2.365e-06 ***
Longueur:Timbre 2.147 1.0734 2 24.0 26.7153 7.863e-07 ***
Longueur:Debit 1.222 0.6109 2 7131.0 15.2059 2.572e-07 ***
Timbre:Debit 34.129 8.5322 4 7131.0 212.3608 < 2.2e-16 ***
Longueur:Timbre:Debit 4.582 1.1454 4 7131.0 28.5084 < 2.2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 19.1.4 Model’s fit
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")| F2midnor | |||
|---|---|---|---|
| Predictors | Estimates | CI | p |
| (Intercept) | 0.25 | 0.03 – 0.46 | 0.027 |
| Longueur [courte] | 0.20 | -0.05 – 0.44 | 0.111 |
| Timbre [i] | 1.40 | 1.14 – 1.65 | <0.001 |
| Timbre [u] | -0.97 | -1.26 – -0.68 | <0.001 |
| Debit [moyen] | -0.03 | -0.06 – -0.01 | 0.014 |
| Debit [lent] | -0.07 | -0.10 – -0.05 | <0.001 |
| Sex [m] | -0.62 | -0.72 – -0.52 | <0.001 |
| Longueur [courte] × Timbre [i] |
-0.87 | -1.22 – -0.52 | <0.001 |
| Longueur [courte] × Timbre [u] |
0.21 | -0.13 – 0.56 | 0.230 |
| Longueur [courte] × Debit [moyen] |
0.02 | -0.02 – 0.06 | 0.290 |
| Longueur [courte] × Debit [lent] |
0.06 | 0.02 – 0.09 | 0.006 |
| Timbre [i] × Debit [moyen] |
0.12 | 0.08 – 0.15 | <0.001 |
| Timbre [u] × Debit [moyen] |
-0.18 | -0.22 – -0.14 | <0.001 |
| Timbre [i] × Debit [lent] | 0.26 | 0.22 – 0.30 | <0.001 |
| Timbre [u] × Debit [lent] | -0.30 | -0.34 – -0.26 | <0.001 |
| (Longueur [courte] × Timbre [i]) × Debit [moyen] |
-0.06 | -0.11 – -0.00 | 0.037 |
| (Longueur [courte] × Timbre [u]) × Debit [moyen] |
0.09 | 0.03 – 0.14 | 0.002 |
| (Longueur [courte] × Timbre [i]) × Debit [lent] |
-0.14 | -0.19 – -0.08 | <0.001 |
| (Longueur [courte] × Timbre [u]) × Debit [lent] |
0.16 | 0.11 – 0.22 | <0.001 |
| Random Effects | |||
| σ2 | 0.04 | ||
| τ00 Word | 0.04 | ||
| τ00 Speaker | 0.04 | ||
| τ11 Speaker.Timbrei | 0.01 | ||
| τ11 Speaker.Timbreu | 0.06 | ||
| ρ01 Speaker.Timbrei | 0.15 | ||
| ρ01 Speaker.Timbreu | -0.89 | ||
| ICC | 0.65 | ||
| N Speaker | 10 | ||
| N Word | 30 | ||
| Observations | 7200 | ||
| Marginal R2 / Conditional R2 | 0.882 / 0.959 | ||
9.1.5 Evaluating Model’s assumptions - normality of residuals
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
9.1.6 Pairwise Comparison
9.1.6.1 Debit
if (file.exists(file = "emmF2Sub1Debit.Rds")){
emmF2Sub1Debit <- readRDS("emmF2Sub1Debit.Rds")
}else{
emmF2Sub1Debit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
saveRDS(emmF2Sub1Debit, "emmF2Sub1Debit.Rds")
emmF2Sub1Debit <- readRDS("emmF2Sub1Debit.Rds")
}
emmF2Sub1Debit$emmeans
Debit emmean SE df lower.CL upper.CL
rapide 0.0676 0.0553 21.2 -0.0474 0.183
moyen 0.0268 0.0553 21.2 -0.0882 0.142
lent 0.0107 0.0553 21.2 -0.1042 0.126
Results are averaged over the levels of: Longueur, Timbre, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
rapide - moyen 0.0408 0.00579 7131 7.051 <.0001
rapide - lent 0.0568 0.00579 7131 9.823 <.0001
moyen - lent 0.0160 0.00579 7131 2.772 0.0154
Results are averaged over the levels of: Longueur, Timbre, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 3 estimates 9.1.6.2 Timbre
if (file.exists(file = "emmF2Sub1Timbre.Rds")){
emmF2Sub1Timbre <- readRDS("emmF2Sub1Timbre.Rds")
}else{
emmF2Sub1Timbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre)
saveRDS(emmF2Sub1Timbre, "emmF2Sub1Timbre.Rds")
emmF2Sub1Timbre <- readRDS("emmF2Sub1Timbre.Rds")
}
emmF2Sub1Timbre$emmeans
Timbre emmean SE df lower.CL upper.CL
a 0.0113 0.0875 25.6 -0.169 0.191
i 1.0642 0.0989 20.7 0.858 1.270
u -0.9704 0.0724 32.0 -1.118 -0.823
Results are averaged over the levels of: Longueur, Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
a - i -1.053 0.0957 30.7 -10.999 <.0001
a - u 0.982 0.1180 28.6 8.317 <.0001
i - u 2.035 0.1320 23.4 15.400 <.0001
Results are averaged over the levels of: Longueur, Debit, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 3 estimates 9.1.6.3 Longueur
if (file.exists(file = "emmF2Sub1Longueur.Rds")){
emmF2Sub1Longueur <- readRDS("emmF2Sub1Longueur.Rds")
}else{
emmF2Sub1Longueur <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur)
saveRDS(emmF2Sub1Longueur, "emmF2Sub1Longueur.Rds")
emmF2Sub1Longueur <- readRDS("emmF2Sub1Longueur.Rds")
}
emmF2Sub1Longueur$emmeans
Longueur emmean SE df lower.CL upper.CL
longue 0.0291 0.0659 29 -0.1057 0.164
courte 0.0410 0.0659 29 -0.0938 0.176
Results are averaged over the levels of: Timbre, Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
longue - courte -0.0119 0.0719 24 -0.166 0.8698
Results are averaged over the levels of: Timbre, Debit, Sex
Degrees-of-freedom method: kenward-roger 9.1.6.4 Longueur x Timbre
if (file.exists(file = "emmF2Sub1LongueurTimbre.Rds")){
emmF2Sub1LongueurTimbre <- readRDS("emmF2Sub1LongueurTimbre.Rds")
}else{
emmF2Sub1LongueurTimbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Timbre)
saveRDS(emmF2Sub1LongueurTimbre, "emmF2Sub1LongueurTimbre.Rds")
emmF2Sub1LongueurTimbre <- readRDS("emmF2Sub1LongueurTimbre.Rds")
}
emmF2Sub1LongueurTimbre$emmeans
Longueur Timbre emmean SE df lower.CL upper.CL
longue a -0.101 0.1070 31.9 -0.3199 0.117
courte a 0.124 0.1070 31.9 -0.0949 0.342
longue i 1.420 0.1170 28.7 1.1806 1.659
courte i 0.709 0.1170 28.7 0.4696 0.948
longue u -1.231 0.0955 30.4 -1.4261 -1.036
courte u -0.710 0.0955 30.4 -0.9044 -0.515
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
longue a - courte a -0.225 0.124 24.0 -1.808 0.4798
longue a - longue i -1.521 0.130 27.9 -11.696 <.0001
longue a - courte i -0.810 0.130 27.9 -6.228 <.0001
longue a - longue u 1.130 0.147 32.9 7.675 <.0001
longue a - courte u 0.608 0.147 32.9 4.132 0.0029
courte a - longue i -1.296 0.130 27.9 -9.965 <.0001
courte a - courte i -0.585 0.130 27.9 -4.498 0.0014
courte a - longue u 1.355 0.147 32.9 9.203 <.0001
courte a - courte u 0.833 0.147 32.9 5.660 <.0001
longue i - courte i 0.711 0.124 24.0 5.712 0.0001
longue i - longue u 2.651 0.159 30.9 16.698 <.0001
longue i - courte u 2.129 0.159 30.9 13.412 <.0001
courte i - longue u 1.940 0.159 30.9 12.220 <.0001
courte i - courte u 1.418 0.159 30.9 8.934 <.0001
longue u - courte u -0.522 0.124 24.0 -4.191 0.0039
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 6 estimates 9.1.6.5 Longueur x Debit
if (file.exists(file = "emmF2Sub1LongueurDebit.Rds")){
emmF2Sub1LongueurDebit <- readRDS("emmF2Sub1LongueurDebit.Rds")
}else{
emmF2Sub1LongueurDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Debit)
saveRDS(emmF2Sub1LongueurDebit, "emmF2Sub1LongueurDebit.Rds")
emmF2Sub1LongueurDebit <- readRDS("emmF2Sub1LongueurDebit.Rds")
}
emmF2Sub1LongueurDebit$emmeans
Longueur Debit emmean SE df lower.CL upper.CL
longue rapide 0.0775 0.0661 29.3 -0.0576 0.213
courte rapide 0.0577 0.0661 29.3 -0.0774 0.193
longue moyen 0.0210 0.0661 29.3 -0.1140 0.156
courte moyen 0.0325 0.0661 29.3 -0.1025 0.168
longue lent -0.0113 0.0661 29.3 -0.1463 0.124
courte lent 0.0328 0.0661 29.3 -0.1023 0.168
Results are averaged over the levels of: Timbre, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
longue rapide - courte rapide 0.019809 0.07220 24.4 0.274 0.9998
longue rapide - longue moyen 0.056459 0.00818 7131.0 6.899 <.0001
longue rapide - courte moyen 0.044949 0.07220 24.4 0.623 0.9882
longue rapide - longue lent 0.088748 0.00818 7131.0 10.845 <.0001
longue rapide - courte lent 0.044740 0.07220 24.4 0.620 0.9885
courte rapide - longue moyen 0.036650 0.07220 24.4 0.508 0.9954
courte rapide - courte moyen 0.025140 0.00818 7131.0 3.072 0.0260
courte rapide - longue lent 0.068939 0.07220 24.4 0.955 0.9276
courte rapide - courte lent 0.024932 0.00818 7131.0 3.047 0.0281
longue moyen - courte moyen -0.011510 0.07220 24.4 -0.159 1.0000
longue moyen - longue lent 0.032289 0.00818 7131.0 3.946 0.0011
longue moyen - courte lent -0.011719 0.07220 24.4 -0.162 1.0000
courte moyen - longue lent 0.043799 0.07220 24.4 0.607 0.9895
courte moyen - courte lent -0.000208 0.00818 7131.0 -0.025 1.0000
longue lent - courte lent -0.044007 0.07220 24.4 -0.610 0.9893
Results are averaged over the levels of: Timbre, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 6 estimates 9.1.6.6 Timbre x Debit
if (file.exists(file = "emmF2Sub1TimbreDebit.Rds")){
emmF2Sub1TimbreDebit <- readRDS("emmF2Sub1TimbreDebit.Rds")
}else{
emmF2Sub1TimbreDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre:Debit)
saveRDS(emmF2Sub1TimbreDebit, "emmF2Sub1TimbreDebit.Rds")
emmF2Sub1TimbreDebit <- readRDS("emmF2Sub1TimbreDebit.Rds")
}
emmF2Sub1TimbreDebit$emmeans
Timbre Debit emmean SE df lower.CL upper.CL
a rapide 0.0347 0.0876 25.8 -0.146 0.215
i rapide 0.9958 0.0990 20.8 0.790 1.202
u rapide -0.8277 0.0726 32.4 -0.976 -0.680
a moyen 0.0105 0.0876 25.8 -0.170 0.191
i moyen 1.0573 0.0990 20.8 0.851 1.263
u moyen -0.9875 0.0726 32.4 -1.135 -0.840
a lent -0.0113 0.0876 25.8 -0.192 0.169
i lent 1.1394 0.0990 20.8 0.933 1.345
u lent -1.0958 0.0726 32.4 -1.244 -0.948
Results are averaged over the levels of: Longueur, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
a rapide - i rapide -0.9612 0.0961 31.2 -10.005 <.0001
a rapide - u rapide 0.8624 0.1180 28.8 7.289 <.0001
a rapide - a moyen 0.0242 0.0100 7131.0 2.410 0.2784
a rapide - i moyen -1.0227 0.0961 31.2 -10.645 <.0001
a rapide - u moyen 1.0222 0.1180 28.8 8.639 <.0001
a rapide - a lent 0.0460 0.0100 7131.0 4.588 0.0002
a rapide - i lent -1.1047 0.0961 31.2 -11.499 <.0001
a rapide - u lent 1.1305 0.1180 28.8 9.555 <.0001
i rapide - u rapide 1.8236 0.1320 23.5 13.776 <.0001
i rapide - a moyen 0.9853 0.0961 31.2 10.256 <.0001
i rapide - i moyen -0.0615 0.0100 7131.0 -6.137 <.0001
i rapide - u moyen 1.9833 0.1320 23.5 14.983 <.0001
i rapide - a lent 1.0071 0.0961 31.2 10.483 <.0001
i rapide - i lent -0.1436 0.0100 7131.0 -14.325 <.0001
i rapide - u lent 2.0917 0.1320 23.5 15.802 <.0001
u rapide - a moyen -0.8383 0.1180 28.8 -7.085 <.0001
u rapide - i moyen -1.8851 0.1320 23.5 -14.241 <.0001
u rapide - u moyen 0.1598 0.0100 7131.0 15.940 <.0001
u rapide - a lent -0.8164 0.1180 28.8 -6.901 <.0001
u rapide - i lent -1.9671 0.1320 23.5 -14.861 <.0001
u rapide - u lent 0.2681 0.0100 7131.0 26.751 <.0001
a moyen - i moyen -1.0468 0.0961 31.2 -10.896 <.0001
a moyen - u moyen 0.9980 0.1180 28.8 8.435 <.0001
a moyen - a lent 0.0218 0.0100 7131.0 2.178 0.4201
a moyen - i lent -1.1289 0.0961 31.2 -11.750 <.0001
a moyen - u lent 1.1064 0.1180 28.8 9.351 <.0001
i moyen - u moyen 2.0448 0.1320 23.5 15.448 <.0001
i moyen - a lent 1.0687 0.0961 31.2 11.123 <.0001
i moyen - i lent -0.0821 0.0100 7131.0 -8.187 <.0001
i moyen - u lent 2.1532 0.1320 23.5 16.267 <.0001
u moyen - a lent -0.9762 0.1180 28.8 -8.251 <.0001
u moyen - i lent -2.1269 0.1320 23.5 -16.068 <.0001
u moyen - u lent 0.1083 0.0100 7131.0 10.811 <.0001
a lent - i lent -1.1507 0.0961 31.2 -11.978 <.0001
a lent - u lent 1.0845 0.1180 28.8 9.167 <.0001
i lent - u lent 2.2352 0.1320 23.5 16.886 <.0001
Results are averaged over the levels of: Longueur, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 9 estimates 9.1.6.7 Longueur x Timbre x Debit
if (file.exists(file = "emmF2Sub1LongueurTimbreDebit.Rds")){
emmF2Sub1LongueurTimbreDebit <- readRDS("emmF2Sub1LongueurTimbreDebit.Rds")
}else{
emmF2Sub1LongueurTimbreDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Timbre:Debit)
saveRDS(emmF2Sub1LongueurTimbreDebit, "emmF2Sub1LongueurTimbreDebit.Rds")
emmF2Sub1LongueurTimbreDebit <- readRDS("emmF2Sub1LongueurTimbreDebit.Rds")
}
emmF2Sub1LongueurTimbreDebit$emmeans
Longueur Timbre Debit emmean SE df lower.CL upper.CL
longue a rapide -0.0651 0.1080 32.2 -0.2843 0.1541
courte a rapide 0.1344 0.1080 32.2 -0.0848 0.3536
longue i rapide 1.3312 0.1170 28.9 1.0917 1.5707
courte i rapide 0.6605 0.1170 28.9 0.4209 0.9000
longue u rapide -1.0337 0.0958 30.8 -1.2291 -0.8382
courte u rapide -0.6218 0.0958 30.8 -0.8173 -0.4264
longue a moyen -0.0998 0.1080 32.2 -0.3191 0.1194
courte a moyen 0.1209 0.1080 32.2 -0.0983 0.3401
longue i moyen 1.4116 0.1170 28.9 1.1721 1.6511
courte i moyen 0.7031 0.1170 28.9 0.4635 0.9426
longue u moyen -1.2487 0.0958 30.8 -1.4441 -1.0532
courte u moyen -0.7263 0.0958 30.8 -0.9218 -0.5309
longue a lent -0.1387 0.1080 32.2 -0.3579 0.0805
courte a lent 0.1161 0.1080 32.2 -0.1031 0.3353
longue i lent 1.5162 0.1170 28.9 1.2767 1.7558
courte i lent 0.7625 0.1170 28.9 0.5230 1.0021
longue u lent -1.4113 0.0958 30.8 -1.6068 -1.2158
courte u lent -0.7804 0.0958 30.8 -0.9758 -0.5849
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
longue a rapide - courte a rapide -0.19950 0.1250 24.4 -1.596 0.9694
longue a rapide - longue i rapide -1.39628 0.1310 28.4 -10.695 <.0001
longue a rapide - courte i rapide -0.72553 0.1310 28.4 -5.557 0.0006
longue a rapide - longue u rapide 0.96858 0.1480 33.3 6.558 <.0001
longue a rapide - courte u rapide 0.55676 0.1480 33.3 3.770 0.0503
longue a rapide - longue a moyen 0.03477 0.0142 7131.0 2.453 0.5668
longue a rapide - courte a moyen -0.18596 0.1250 24.4 -1.488 0.9836
longue a rapide - longue i moyen -1.47668 0.1310 28.4 -11.311 <.0001
longue a rapide - courte i moyen -0.76815 0.1310 28.4 -5.884 0.0003
longue a rapide - longue u moyen 1.18358 0.1480 33.3 8.014 <.0001
longue a rapide - courte u moyen 0.66126 0.1480 33.3 4.477 0.0083
longue a rapide - longue a lent 0.07361 0.0142 7131.0 5.193 <.0001
longue a rapide - courte a lent -0.18114 0.1250 24.4 -1.449 0.9871
longue a rapide - longue i lent -1.58132 0.1310 28.4 -12.112 <.0001
longue a rapide - courte i lent -0.82762 0.1310 28.4 -6.339 0.0001
longue a rapide - longue u lent 1.34625 0.1480 33.3 9.115 <.0001
longue a rapide - courte u lent 0.71528 0.1480 33.3 4.843 0.0031
courte a rapide - longue i rapide -1.19678 0.1310 28.4 -9.167 <.0001
courte a rapide - courte i rapide -0.52603 0.1310 28.4 -4.029 0.0310
courte a rapide - longue u rapide 1.16808 0.1480 33.3 7.909 <.0001
courte a rapide - courte u rapide 0.75626 0.1480 33.3 5.121 0.0014
courte a rapide - longue a moyen 0.23427 0.1250 24.4 1.874 0.8961
courte a rapide - courte a moyen 0.01354 0.0142 7131.0 0.955 1.0000
courte a rapide - longue i moyen -1.27718 0.1310 28.4 -9.783 <.0001
courte a rapide - courte i moyen -0.56865 0.1310 28.4 -4.356 0.0141
courte a rapide - longue u moyen 1.38308 0.1480 33.3 9.365 <.0001
courte a rapide - courte u moyen 0.86076 0.1480 33.3 5.828 0.0002
courte a rapide - longue a lent 0.27311 0.1250 24.4 2.185 0.7457
courte a rapide - courte a lent 0.01836 0.0142 7131.0 1.295 0.9983
courte a rapide - longue i lent -1.38182 0.1310 28.4 -10.584 <.0001
courte a rapide - courte i lent -0.62812 0.1310 28.4 -4.811 0.0045
courte a rapide - longue u lent 1.54575 0.1480 33.3 10.466 <.0001
courte a rapide - courte u lent 0.91478 0.1480 33.3 6.194 0.0001
longue i rapide - courte i rapide 0.67074 0.1250 24.4 5.365 0.0016
longue i rapide - longue u rapide 2.36485 0.1590 31.2 14.857 <.0001
longue i rapide - courte u rapide 1.95304 0.1590 31.2 12.270 <.0001
longue i rapide - longue a moyen 1.43105 0.1310 28.4 10.961 <.0001
longue i rapide - courte a moyen 1.21032 0.1310 28.4 9.271 <.0001
longue i rapide - longue i moyen -0.08040 0.0142 7131.0 -5.673 <.0001
longue i rapide - courte i moyen 0.62812 0.1250 24.4 5.024 0.0036
longue i rapide - longue u moyen 2.57986 0.1590 31.2 16.208 <.0001
longue i rapide - courte u moyen 2.05754 0.1590 31.2 12.927 <.0001
longue i rapide - longue a lent 1.46989 0.1310 28.4 11.259 <.0001
longue i rapide - courte a lent 1.21514 0.1310 28.4 9.308 <.0001
longue i rapide - longue i lent -0.18504 0.0142 7131.0 -13.055 <.0001
longue i rapide - courte i lent 0.56865 0.1250 24.4 4.549 0.0110
longue i rapide - longue u lent 2.74253 0.1590 31.2 17.230 <.0001
longue i rapide - courte u lent 2.11156 0.1590 31.2 13.266 <.0001
courte i rapide - longue u rapide 1.69411 0.1590 31.2 10.643 <.0001
courte i rapide - courte u rapide 1.28229 0.1590 31.2 8.056 <.0001
courte i rapide - longue a moyen 0.76030 0.1310 28.4 5.824 0.0003
courte i rapide - courte a moyen 0.53957 0.1310 28.4 4.133 0.0242
courte i rapide - longue i moyen -0.75114 0.1250 24.4 -6.009 0.0003
courte i rapide - courte i moyen -0.04262 0.0142 7131.0 -3.007 0.1967
courte i rapide - longue u moyen 1.90912 0.1590 31.2 11.994 <.0001
courte i rapide - courte u moyen 1.38679 0.1590 31.2 8.713 <.0001
courte i rapide - longue a lent 0.79914 0.1310 28.4 6.121 0.0001
courte i rapide - courte a lent 0.54439 0.1310 28.4 4.170 0.0222
courte i rapide - longue i lent -0.85579 0.1250 24.4 -6.846 <.0001
courte i rapide - courte i lent -0.10209 0.0142 7131.0 -7.203 <.0001
courte i rapide - longue u lent 2.07179 0.1590 31.2 13.016 <.0001
courte i rapide - courte u lent 1.44082 0.1590 31.2 9.052 <.0001
longue u rapide - courte u rapide -0.41182 0.1250 24.4 -3.294 0.1625
longue u rapide - longue a moyen -0.93381 0.1480 33.3 -6.323 <.0001
longue u rapide - courte a moyen -1.15454 0.1480 33.3 -7.817 <.0001
longue u rapide - longue i moyen -2.44525 0.1590 31.2 -15.362 <.0001
longue u rapide - courte i moyen -1.73673 0.1590 31.2 -10.911 <.0001
longue u rapide - longue u moyen 0.21501 0.0142 7131.0 15.170 <.0001
longue u rapide - courte u moyen -0.30731 0.1250 24.4 -2.458 0.5766
longue u rapide - longue a lent -0.89497 0.1480 33.3 -6.060 0.0001
longue u rapide - courte a lent -1.14972 0.1480 33.3 -7.785 <.0001
longue u rapide - longue i lent -2.54990 0.1590 31.2 -16.020 <.0001
longue u rapide - courte i lent -1.79620 0.1590 31.2 -11.285 <.0001
longue u rapide - longue u lent 0.37768 0.0142 7131.0 26.647 <.0001
longue u rapide - courte u lent -0.25329 0.1250 24.4 -2.026 0.8306
courte u rapide - longue a moyen -0.52199 0.1480 33.3 -3.534 0.0866
courte u rapide - courte a moyen -0.74272 0.1480 33.3 -5.029 0.0018
courte u rapide - longue i moyen -2.03344 0.1590 31.2 -12.775 <.0001
courte u rapide - courte i moyen -1.32491 0.1590 31.2 -8.324 <.0001
courte u rapide - longue u moyen 0.62683 0.1250 24.4 5.014 0.0037
courte u rapide - courte u moyen 0.10450 0.0142 7131.0 7.373 <.0001
courte u rapide - longue a lent -0.48315 0.1480 33.3 -3.271 0.1520
courte u rapide - courte a lent -0.73790 0.1480 33.3 -4.996 0.0020
courte u rapide - longue i lent -2.13808 0.1590 31.2 -13.432 <.0001
courte u rapide - courte i lent -1.38438 0.1590 31.2 -8.697 <.0001
courte u rapide - longue u lent 0.78950 0.1250 24.4 6.315 0.0002
courte u rapide - courte u lent 0.15852 0.0142 7131.0 11.185 <.0001
longue a moyen - courte a moyen -0.22073 0.1250 24.4 -1.766 0.9317
longue a moyen - longue i moyen -1.51145 0.1310 28.4 -11.577 <.0001
longue a moyen - courte i moyen -0.80292 0.1310 28.4 -6.150 0.0001
longue a moyen - longue u moyen 1.14881 0.1480 33.3 7.779 <.0001
longue a moyen - courte u moyen 0.62649 0.1480 33.3 4.242 0.0155
longue a moyen - longue a lent 0.03884 0.0142 7131.0 2.740 0.3525
longue a moyen - courte a lent -0.21591 0.1250 24.4 -1.727 0.9421
longue a moyen - longue i lent -1.61609 0.1310 28.4 -12.379 <.0001
longue a moyen - courte i lent -0.86239 0.1310 28.4 -6.606 <.0001
longue a moyen - longue u lent 1.31148 0.1480 33.3 8.880 <.0001
longue a moyen - courte u lent 0.68051 0.1480 33.3 4.608 0.0059
courte a moyen - longue i moyen -1.29072 0.1310 28.4 -9.887 <.0001
courte a moyen - courte i moyen -0.58219 0.1310 28.4 -4.459 0.0109
courte a moyen - longue u moyen 1.36955 0.1480 33.3 9.273 <.0001
courte a moyen - courte u moyen 0.84722 0.1480 33.3 5.736 0.0002
courte a moyen - longue a lent 0.25957 0.1250 24.4 2.076 0.8053
courte a moyen - courte a lent 0.00482 0.0142 7131.0 0.340 1.0000
courte a moyen - longue i lent -1.39536 0.1310 28.4 -10.688 <.0001
courte a moyen - courte i lent -0.64166 0.1310 28.4 -4.915 0.0034
courte a moyen - longue u lent 1.53222 0.1480 33.3 10.375 <.0001
courte a moyen - courte u lent 0.90125 0.1480 33.3 6.102 0.0001
longue i moyen - courte i moyen 0.70852 0.1250 24.4 5.668 0.0008
longue i moyen - longue u moyen 2.66026 0.1590 31.2 16.713 <.0001
longue i moyen - courte u moyen 2.13794 0.1590 31.2 13.432 <.0001
longue i moyen - longue a lent 1.55029 0.1310 28.4 11.875 <.0001
longue i moyen - courte a lent 1.29554 0.1310 28.4 9.923 <.0001
longue i moyen - longue i lent -0.10464 0.0142 7131.0 -7.383 <.0001
longue i moyen - courte i lent 0.64905 0.1250 24.4 5.192 0.0024
longue i moyen - longue u lent 2.82293 0.1590 31.2 17.735 <.0001
longue i moyen - courte u lent 2.19196 0.1590 31.2 13.771 <.0001
courte i moyen - longue u moyen 1.95174 0.1590 31.2 12.262 <.0001
courte i moyen - courte u moyen 1.42942 0.1590 31.2 8.980 <.0001
courte i moyen - longue a lent 0.84176 0.1310 28.4 6.448 0.0001
courte i moyen - courte a lent 0.58701 0.1310 28.4 4.496 0.0099
courte i moyen - longue i lent -0.81317 0.1250 24.4 -6.505 0.0001
courte i moyen - courte i lent -0.05947 0.0142 7131.0 -4.196 0.0036
courte i moyen - longue u lent 2.11441 0.1590 31.2 13.284 <.0001
courte i moyen - courte u lent 1.48344 0.1590 31.2 9.320 <.0001
longue u moyen - courte u moyen -0.52232 0.1250 24.4 -4.178 0.0258
longue u moyen - longue a lent -1.10998 0.1480 33.3 -7.516 <.0001
longue u moyen - courte a lent -1.36472 0.1480 33.3 -9.240 <.0001
longue u moyen - longue i lent -2.76490 0.1590 31.2 -17.371 <.0001
longue u moyen - courte i lent -2.01121 0.1590 31.2 -12.635 <.0001
longue u moyen - longue u lent 0.16267 0.0142 7131.0 11.477 <.0001
longue u moyen - courte u lent -0.46830 0.1250 24.4 -3.746 0.0662
courte u moyen - longue a lent -0.58765 0.1480 33.3 -3.979 0.0302
courte u moyen - courte a lent -0.84240 0.1480 33.3 -5.704 0.0003
courte u moyen - longue i lent -2.24258 0.1590 31.2 -14.089 <.0001
courte u moyen - courte i lent -1.48888 0.1590 31.2 -9.354 <.0001
courte u moyen - longue u lent 0.68499 0.1250 24.4 5.479 0.0012
courte u moyen - courte u lent 0.05402 0.0142 7131.0 3.811 0.0165
longue a lent - courte a lent -0.25475 0.1250 24.4 -2.038 0.8249
longue a lent - longue i lent -1.65493 0.1310 28.4 -12.676 <.0001
longue a lent - courte i lent -0.90123 0.1310 28.4 -6.903 <.0001
longue a lent - longue u lent 1.27265 0.1480 33.3 8.617 <.0001
longue a lent - courte u lent 0.64168 0.1480 33.3 4.345 0.0118
courte a lent - longue i lent -1.40018 0.1310 28.4 -10.725 <.0001
courte a lent - courte i lent -0.64648 0.1310 28.4 -4.952 0.0031
courte a lent - longue u lent 1.52739 0.1480 33.3 10.342 <.0001
courte a lent - courte u lent 0.89642 0.1480 33.3 6.070 0.0001
longue i lent - courte i lent 0.75370 0.1250 24.4 6.029 0.0003
longue i lent - longue u lent 2.92757 0.1590 31.2 18.393 <.0001
longue i lent - courte u lent 2.29660 0.1590 31.2 14.428 <.0001
courte i lent - longue u lent 2.17388 0.1590 31.2 13.657 <.0001
courte i lent - courte u lent 1.54291 0.1590 31.2 9.693 <.0001
longue u lent - courte u lent -0.63097 0.1250 24.4 -5.047 0.0034
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 18 estimates 10 F1midnor - Subset 2 - Timbre
10.1 Optimal model
10.1.1 Read Rds
lm.mod.Optimal <- readRDS("lm.mod.Optimal.F1midnorTimbreSub2.Rds")10.1.2 Summary
summary(lm.mod.Optimal)Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: F1midnor ~ Longueur * Timbre * Debit + Sex + (Longueur | Speaker) +
(Debit | Speaker) + (1 | Word)
Data: ArabicSub2
Control: lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+05))
REML criterion at convergence: 6046.3
Scaled residuals:
Min 1Q Median 3Q Max
-5.6009 -0.5999 0.0225 0.6115 5.3320
Random effects:
Groups Name Variance Std.Dev. Corr
Word (Intercept) 0.04035 0.2009
Speaker (Intercept) 0.11260 0.3356
Debitmoyen 0.03689 0.1921 0.67
Debitlent 0.03631 0.1906 0.85 0.67
Speaker.1 (Intercept) 0.03341 0.1828
Longueurcourte 0.01802 0.1342 0.91
Residual 0.12937 0.3597
Number of obs: 7200, groups: Word, 30; Speaker, 10
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 1.631e+00 1.649e-01 1.531e+01 9.892 4.77e-08 ***
Longueurcourte -9.507e-01 1.363e-01 2.995e+01 -6.974 9.61e-08 ***
Timbree -1.540e+00 1.296e-01 2.528e+01 -11.887 7.55e-12 ***
Timbreo -2.250e+00 1.296e-01 2.528e+01 -17.367 1.45e-15 ***
Debitmoyen 2.148e-02 6.585e-02 1.174e+01 0.326 0.74998
Debitlent 1.172e-01 6.541e-02 1.178e+01 1.792 0.09875 .
Sexm 3.046e-02 1.294e-01 8.000e+00 0.236 0.81973
Longueurcourte:Timbree 5.457e-01 1.832e-01 2.528e+01 2.978 0.00632 **
Longueurcourte:Timbreo 1.330e+00 1.832e-01 2.528e+01 7.256 1.24e-07 ***
Longueurcourte:Debitmoyen 4.086e-03 3.597e-02 7.122e+03 0.114 0.90956
Longueurcourte:Debitlent -3.440e-02 3.597e-02 7.122e+03 -0.956 0.33891
Timbree:Debitmoyen -1.651e-01 3.597e-02 7.122e+03 -4.589 4.52e-06 ***
Timbreo:Debitmoyen -2.652e-01 3.597e-02 7.122e+03 -7.372 1.87e-13 ***
Timbree:Debitlent -3.621e-01 3.597e-02 7.122e+03 -10.067 < 2e-16 ***
Timbreo:Debitlent -4.079e-01 3.597e-02 7.122e+03 -11.341 < 2e-16 ***
Longueurcourte:Timbree:Debitmoyen 9.224e-03 5.087e-02 7.122e+03 0.181 0.85610
Longueurcourte:Timbreo:Debitmoyen 1.584e-01 5.087e-02 7.122e+03 3.114 0.00185 **
Longueurcourte:Timbree:Debitlent 1.586e-01 5.087e-02 7.122e+03 3.118 0.00183 **
Longueurcourte:Timbreo:Debitlent 2.861e-01 5.087e-02 7.122e+03 5.625 1.92e-08 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation matrix not shown by default, as p = 19 > 12.
Use print(x, correlation=TRUE) or
vcov(x) if you need it10.1.3 Anova
print(anova(lm.mod.Optimal))Type III Analysis of Variance Table with Satterthwaite's method
Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
Longueur 1.279 1.2785 1 32.3 9.8830 0.003565 **
Timbre 53.969 26.9846 2 24.0 208.5908 6.716e-16 ***
Debit 0.317 0.1586 2 9.0 1.2259 0.338196
Sex 0.007 0.0072 1 8.0 0.0555 0.819735
Longueur:Timbre 8.736 4.3678 2 24.0 33.7628 1.057e-07 ***
Longueur:Debit 3.892 1.9458 2 7122.0 15.0412 3.030e-07 ***
Timbre:Debit 20.843 5.2108 4 7122.0 40.2796 < 2.2e-16 ***
Longueur:Timbre:Debit 4.663 1.1656 4 7122.0 9.0103 2.955e-07 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 110.1.4 Model’s fit
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")| F1midnor | |||
|---|---|---|---|
| Predictors | Estimates | CI | p |
| (Intercept) | 1.63 | 1.31 – 1.95 | <0.001 |
| Longueur [courte] | -0.95 | -1.22 – -0.68 | <0.001 |
| Timbre [e] | -1.54 | -1.79 – -1.29 | <0.001 |
| Timbre [o] | -2.25 | -2.50 – -2.00 | <0.001 |
| Debit [moyen] | 0.02 | -0.11 – 0.15 | 0.744 |
| Debit [lent] | 0.12 | -0.01 – 0.25 | 0.073 |
| Sex [m] | 0.03 | -0.22 – 0.28 | 0.814 |
| Longueur [courte] × Timbre [e] |
0.55 | 0.19 – 0.90 | 0.003 |
| Longueur [courte] × Timbre [o] |
1.33 | 0.97 – 1.69 | <0.001 |
| Longueur [courte] × Debit [moyen] |
0.00 | -0.07 – 0.07 | 0.910 |
| Longueur [courte] × Debit [lent] |
-0.03 | -0.10 – 0.04 | 0.339 |
| Timbre [e] × Debit [moyen] |
-0.17 | -0.24 – -0.09 | <0.001 |
| Timbre [o] × Debit [moyen] |
-0.27 | -0.34 – -0.19 | <0.001 |
| Timbre [e] × Debit [lent] | -0.36 | -0.43 – -0.29 | <0.001 |
| Timbre [o] × Debit [lent] | -0.41 | -0.48 – -0.34 | <0.001 |
| (Longueur [courte] × Timbre [e]) × Debit [moyen] |
0.01 | -0.09 – 0.11 | 0.856 |
| (Longueur [courte] × Timbre [o]) × Debit [moyen] |
0.16 | 0.06 – 0.26 | 0.002 |
| (Longueur [courte] × Timbre [e]) × Debit [lent] |
0.16 | 0.06 – 0.26 | 0.002 |
| (Longueur [courte] × Timbre [o]) × Debit [lent] |
0.29 | 0.19 – 0.39 | <0.001 |
| Random Effects | |||
| σ2 | 0.13 | ||
| τ00 Word | 0.04 | ||
| τ00 Speaker | 0.11 | ||
| τ00 Speaker.1 | 0.03 | ||
| τ11 Speaker.Debitmoyen | 0.04 | ||
| τ11 Speaker.Debitlent | 0.04 | ||
| τ11 Speaker.1.Longueurcourte | 0.02 | ||
| ρ01 Speaker.Debitmoyen | 0.67 | ||
| ρ01 Speaker.Debitlent | 0.85 | ||
| ρ01 Speaker.1 | 0.91 | ||
| ICC | 0.65 | ||
| N Speaker | 10 | ||
| N Word | 30 | ||
| Observations | 7200 | ||
| Marginal R2 / Conditional R2 | 0.648 / 0.878 | ||
10.1.5 Evaluating Model’s assumptions - normality of residuals
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
10.1.6 Pairwise Comparison
10.1.6.1 Debit
if (file.exists(file = "emmF1Sub2Debit.Rds")){
emmF1Sub2Debit <- readRDS("emmF1Sub2Debit.Rds")
}else{
emmF1Sub2Debit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
saveRDS(emmF1Sub2Debit, "emmF1Sub2Debit.Rds")
emmF1Sub2Debit <- readRDS("emmF1Sub2Debit.Rds")
}
emmF1Sub2Debit$emmeans
Debit emmean SE df lower.CL upper.CL
rapide 0.220 0.137 13.4 -0.0747 0.514
moyen 0.128 0.176 12.4 -0.2549 0.510
lent 0.137 0.182 12.2 -0.2586 0.533
Results are averaged over the levels of: Longueur, Timbre, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
rapide - moyen 0.09195 0.0616 9 1.492 0.3391
rapide - lent 0.08251 0.0611 9 1.349 0.4053
moyen - lent -0.00944 0.0500 9 -0.189 0.9806
Results are averaged over the levels of: Longueur, Timbre, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 3 estimates 10.1.6.2 Timbre
if (file.exists(file = "emmF1Sub2Timbre.Rds")){
emmF1Sub2Timbre <- readRDS("emmF1Sub2Timbre.Rds")
}else{
emmF1Sub2Timbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre)
saveRDS(emmF1Sub2Timbre, "emmF1Sub2Timbre.Rds")
emmF1Sub2Timbre <- readRDS("emmF1Sub2Timbre.Rds")
}
emmF1Sub2Timbre$emmeans
Timbre emmean SE df lower.CL upper.CL
a 1.212 0.171 15.4 0.848 1.58
e -0.203 0.171 15.4 -0.567 0.16
o -0.524 0.171 15.4 -0.887 -0.16
Results are averaged over the levels of: Longueur, Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
a - e 1.415 0.0904 24 15.648 <.0001
a - o 1.736 0.0904 24 19.192 <.0001
e - o 0.321 0.0904 24 3.544 0.0045
Results are averaged over the levels of: Longueur, Debit, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 3 estimates 10.1.6.3 Longueur
if (file.exists(file = "emmF1Sub2Longueur.Rds")){
emmF1Sub2Longueur <- readRDS("emmF1Sub2Longueur.Rds")
}else{
emmF1Sub2Longueur <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur)
saveRDS(emmF1Sub2Longueur, "emmF1Sub2Longueur.Rds")
emmF1Sub2Longueur <- readRDS("emmF1Sub2Longueur.Rds")
}
emmF1Sub2Longueur$emmeans
Longueur emmean SE df lower.CL upper.CL
longue 0.2954 0.159 12.7 -0.0483 0.639
courte 0.0277 0.177 15.4 -0.3496 0.405
Results are averaged over the levels of: Timbre, Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
longue - courte 0.268 0.0852 32.3 3.144 0.0036
Results are averaged over the levels of: Timbre, Debit, Sex
Degrees-of-freedom method: kenward-roger 10.1.6.4 Longueur x Timbre
if (file.exists(file = "emmF1Sub2LongueurTimbre.Rds")){
emmF1Sub2LongueurTimbre <- readRDS("emmF1Sub2LongueurTimbre.Rds")
}else{
emmF1Sub2LongueurTimbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Timbre)
saveRDS(emmF1Sub2LongueurTimbre, "emmF1Sub2LongueurTimbre.Rds")
emmF1Sub2LongueurTimbre <- readRDS("emmF1Sub2LongueurTimbre.Rds")
}
emmF1Sub2LongueurTimbre$emmeans
Longueur Timbre emmean SE df lower.CL upper.CL
longue a 1.6922 0.175 17.9 1.324 2.0601
courte a 0.7313 0.192 20.4 0.331 1.1316
longue e -0.0237 0.175 17.9 -0.392 0.3443
courte e -0.3829 0.192 20.4 -0.783 0.0174
longue o -0.7822 0.175 17.9 -1.150 -0.4143
courte o -0.2654 0.192 20.4 -0.666 0.1350
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
longue a - courte a 0.961 0.135 28.6 7.131 <.0001
longue a - longue e 1.716 0.128 24.0 13.417 <.0001
longue a - courte e 2.075 0.135 28.6 15.400 <.0001
longue a - longue o 2.474 0.128 24.0 19.349 <.0001
longue a - courte o 1.958 0.135 28.6 14.528 <.0001
courte a - longue e 0.755 0.135 28.6 5.603 0.0001
courte a - courte e 1.114 0.128 24.0 8.713 <.0001
courte a - longue o 1.514 0.135 28.6 11.232 <.0001
courte a - courte o 0.997 0.128 24.0 7.794 <.0001
longue e - courte e 0.359 0.135 28.6 2.666 0.1139
longue e - longue o 0.759 0.128 24.0 5.931 0.0001
longue e - courte o 0.242 0.135 28.6 1.794 0.4853
courte e - longue o 0.399 0.135 28.6 2.963 0.0608
courte e - courte o -0.118 0.128 24.0 -0.919 0.9377
longue o - courte o -0.517 0.135 28.6 -3.836 0.0076
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 6 estimates 10.1.6.5 Longueur x Debit
if (file.exists(file = "emmF1Sub2LongueurDebit.Rds")){
emmF1Sub2LongueurDebit <- readRDS("emmF1Sub2LongueurDebit.Rds")
}else{
emmF1Sub2LongueurDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Debit)
saveRDS(emmF1Sub2LongueurDebit, "emmF1Sub2LongueurDebit.Rds")
emmF1Sub2LongueurDebit <- readRDS("emmF1Sub2LongueurDebit.Rds")
}
emmF1Sub2LongueurDebit$emmeans
Longueur Debit emmean SE df lower.CL upper.CL
longue rapide 0.38255 0.132 14.3 0.100 0.665
courte rapide 0.05687 0.154 15.7 -0.270 0.383
longue moyen 0.26062 0.173 12.2 -0.115 0.636
courte moyen -0.00509 0.190 14.9 -0.410 0.400
longue lent 0.24313 0.178 11.9 -0.146 0.632
courte lent 0.03129 0.195 14.6 -0.386 0.448
Results are averaged over the levels of: Timbre, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
longue rapide - courte rapide 0.3257 0.0860 33.60 3.787 0.0073
longue rapide - longue moyen 0.1219 0.0625 9.52 1.951 0.4301
longue rapide - courte moyen 0.3876 0.1050 38.05 3.682 0.0087
longue rapide - longue lent 0.1394 0.0620 9.53 2.248 0.3000
longue rapide - courte lent 0.3513 0.1050 38.23 3.345 0.0212
courte rapide - longue moyen -0.2038 0.1050 38.05 -1.935 0.3974
courte rapide - courte moyen 0.0620 0.0625 9.52 0.992 0.9101
courte rapide - longue lent -0.1863 0.1050 38.23 -1.774 0.4941
courte rapide - courte lent 0.0256 0.0620 9.53 0.413 0.9979
longue moyen - courte moyen 0.2657 0.0860 33.60 3.089 0.0425
longue moyen - longue lent 0.0175 0.0511 9.79 0.342 0.9992
longue moyen - courte lent 0.2293 0.0990 41.25 2.317 0.2104
courte moyen - longue lent -0.2482 0.0990 41.25 -2.508 0.1453
courte moyen - courte lent -0.0364 0.0511 9.79 -0.712 0.9760
longue lent - courte lent 0.2118 0.0860 33.60 2.463 0.1642
Results are averaged over the levels of: Timbre, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 6 estimates 10.1.6.6 Timbre x Debit
if (file.exists(file = "emmF1Sub2TimbreDebit.Rds")){
emmF1Sub2TimbreDebit <- readRDS("emmF1Sub2TimbreDebit.Rds")
}else{
emmF1Sub2TimbreDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre:Debit)
saveRDS(emmF1Sub2TimbreDebit, "emmF1Sub2TimbreDebit.Rds")
emmF1Sub2TimbreDebit <- readRDS("emmF1Sub2TimbreDebit.Rds")
}
emmF1Sub2TimbreDebit$emmeans
Timbre Debit emmean SE df lower.CL upper.CL
a rapide 1.1705 0.147 17.3 0.862 1.479
e rapide -0.0967 0.147 17.3 -0.406 0.212
o rapide -0.4147 0.147 17.3 -0.723 -0.106
a moyen 1.1941 0.184 14.6 0.801 1.587
e moyen -0.2336 0.184 14.6 -0.627 0.159
o moyen -0.5771 0.184 14.6 -0.970 -0.184
a lent 1.2706 0.190 14.3 0.865 1.676
e lent -0.2795 0.190 14.3 -0.685 0.126
o lent -0.5795 0.190 14.3 -0.985 -0.174
Results are averaged over the levels of: Longueur, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
a rapide - e rapide 1.26726 0.0916 25.3 13.833 <.0001
a rapide - o rapide 1.58525 0.0916 25.3 17.304 <.0001
a rapide - a moyen -0.02352 0.0633 10.1 -0.371 1.0000
a rapide - e moyen 1.40420 0.1100 33.3 12.775 <.0001
a rapide - o moyen 1.74768 0.1100 33.3 15.900 <.0001
a rapide - a lent -0.10004 0.0629 10.1 -1.591 0.7913
a rapide - e lent 1.45002 0.1100 33.3 13.224 <.0001
a rapide - o lent 1.75005 0.1100 33.3 15.960 <.0001
e rapide - o rapide 0.31799 0.0916 25.3 3.471 0.0412
e rapide - a moyen -1.29079 0.1100 33.3 -11.743 <.0001
e rapide - e moyen 0.13693 0.0633 10.1 2.162 0.4873
e rapide - o moyen 0.48042 0.1100 33.3 4.371 0.0032
e rapide - a lent -1.36730 0.1100 33.3 -12.469 <.0001
e rapide - e lent 0.18276 0.0629 10.1 2.906 0.1944
e rapide - o lent 0.48278 0.1100 33.3 4.403 0.0030
o rapide - a moyen -1.60878 0.1100 33.3 -14.637 <.0001
o rapide - e moyen -0.18106 0.1100 33.3 -1.647 0.7724
o rapide - o moyen 0.16243 0.0633 10.1 2.564 0.3050
o rapide - a lent -1.68529 0.1100 33.3 -15.369 <.0001
o rapide - e lent -0.13523 0.1100 33.3 -1.233 0.9429
o rapide - o lent 0.16479 0.0629 10.1 2.621 0.2839
a moyen - e moyen 1.42772 0.0916 25.3 15.584 <.0001
a moyen - o moyen 1.77121 0.0916 25.3 19.334 <.0001
a moyen - a lent -0.07651 0.0522 10.6 -1.467 0.8488
a moyen - e lent 1.47355 0.1040 33.4 14.186 <.0001
a moyen - o lent 1.77357 0.1040 33.4 17.074 <.0001
e moyen - o moyen 0.34349 0.0916 25.3 3.749 0.0218
e moyen - a lent -1.50423 0.1040 33.4 -14.481 <.0001
e moyen - e lent 0.04583 0.0522 10.6 0.879 0.9897
e moyen - o lent 0.34585 0.1040 33.4 3.330 0.0480
o moyen - a lent -1.84772 0.1040 33.4 -17.788 <.0001
o moyen - e lent -0.29766 0.1040 33.4 -2.866 0.1342
o moyen - o lent 0.00236 0.0522 10.6 0.045 1.0000
a lent - e lent 1.55006 0.0916 25.3 16.920 <.0001
a lent - o lent 1.85009 0.0916 25.3 20.195 <.0001
e lent - o lent 0.30002 0.0916 25.3 3.275 0.0632
Results are averaged over the levels of: Longueur, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 9 estimates 10.1.6.7 Longueur x Timbre x Debit
if (file.exists(file = "emmF1Sub2LongueurTimbreDebit.Rds")){
emmF1Sub2LongueurTimbreDebit <- readRDS("emmF1Sub2LongueurTimbreDebit.Rds")
}else{
emmF1Sub2LongueurTimbreDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Timbre:Debit)
saveRDS(emmF1Sub2LongueurTimbreDebit, "emmF1Sub2LongueurTimbreDebit.Rds")
emmF1Sub2LongueurTimbreDebit <- readRDS("emmF1Sub2LongueurTimbreDebit.Rds")
}
emmF1Sub2LongueurTimbreDebit$emmeans
Longueur Timbre Debit emmean SE df lower.CL upper.CL
longue a rapide 1.6459 0.152 22.4 1.332 1.96010
courte a rapide 0.6952 0.171 22.4 0.341 1.04952
longue e rapide 0.1058 0.152 22.4 -0.208 0.41999
courte e rapide -0.2992 0.171 22.4 -0.654 0.05510
longue o rapide -0.6041 0.152 22.4 -0.918 -0.28991
courte o rapide -0.2253 0.171 22.4 -0.580 0.12901
longue a moyen 1.6674 0.188 16.6 1.270 2.06499
courte a moyen 0.7207 0.204 19.3 0.294 1.14745
longue e moyen -0.0378 0.188 16.6 -0.435 0.35981
courte e moyen -0.4295 0.204 19.3 -0.856 -0.00282
longue o moyen -0.8478 0.188 16.6 -1.245 -0.45018
courte o moyen -0.3065 0.204 19.3 -0.733 0.12020
longue a lent 1.7632 0.194 16.0 1.353 2.17335
courte a lent 0.7780 0.209 18.8 0.340 1.21606
longue e lent -0.1390 0.194 16.0 -0.549 0.27115
courte e lent -0.4199 0.209 18.8 -0.858 0.01814
longue o lent -0.8947 0.194 16.0 -1.305 -0.48455
courte o lent -0.2643 0.209 18.8 -0.702 0.17379
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
longue a rapide - courte a rapide 0.95074 0.1360 29.9 6.974 <.0001
longue a rapide - longue e rapide 1.54011 0.1300 25.3 11.887 <.0001
longue a rapide - courte e rapide 1.94516 0.1360 29.9 14.267 <.0001
longue a rapide - longue o rapide 2.25000 0.1300 25.3 17.367 <.0001
longue a rapide - courte o rapide 1.87125 0.1360 29.9 13.725 <.0001
longue a rapide - longue a moyen -0.02148 0.0658 11.7 -0.326 1.0000
longue a rapide - courte a moyen 0.92518 0.1490 37.8 6.199 <.0001
longue a rapide - longue e moyen 1.68369 0.1430 32.9 11.767 <.0001
longue a rapide - courte e moyen 2.07544 0.1490 37.8 13.906 <.0001
longue a rapide - longue o moyen 2.49369 0.1430 32.9 17.428 <.0001
longue a rapide - courte o moyen 1.95242 0.1490 37.8 13.081 <.0001
longue a rapide - longue a lent -0.11724 0.0654 11.8 -1.792 0.9053
longue a rapide - courte a lent 0.86790 0.1490 37.7 5.823 0.0001
longue a rapide - longue e lent 1.78496 0.1430 32.8 12.492 <.0001
longue a rapide - courte e lent 2.06583 0.1490 37.7 13.859 <.0001
longue a rapide - longue o lent 2.54066 0.1430 32.8 17.781 <.0001
longue a rapide - courte o lent 1.91018 0.1490 37.7 12.815 <.0001
courte a rapide - longue e rapide 0.58936 0.1360 29.9 4.323 0.0143
courte a rapide - courte e rapide 0.99442 0.1300 25.3 7.675 <.0001
courte a rapide - longue o rapide 1.29926 0.1360 29.9 9.530 <.0001
courte a rapide - courte o rapide 0.92050 0.1300 25.3 7.105 <.0001
courte a rapide - longue a moyen -0.97222 0.1490 37.8 -6.514 <.0001
courte a rapide - courte a moyen -0.02557 0.0658 11.7 -0.388 1.0000
courte a rapide - longue e moyen 0.73295 0.1490 37.8 4.911 0.0020
courte a rapide - courte e moyen 1.12470 0.1430 32.9 7.860 <.0001
courte a rapide - longue o moyen 1.54294 0.1490 37.8 10.338 <.0001
courte a rapide - courte o moyen 1.00168 0.1430 32.9 7.000 <.0001
courte a rapide - longue a lent -1.06798 0.1490 37.7 -7.165 <.0001
courte a rapide - courte a lent -0.08284 0.0654 11.8 -1.267 0.9939
courte a rapide - longue e lent 0.83422 0.1490 37.7 5.597 0.0003
courte a rapide - courte e lent 1.11508 0.1430 32.8 7.804 <.0001
courte a rapide - longue o lent 1.58992 0.1490 37.7 10.666 <.0001
courte a rapide - courte o lent 0.95943 0.1430 32.8 6.715 <.0001
longue e rapide - courte e rapide 0.40506 0.1360 29.9 2.971 0.2744
longue e rapide - longue o rapide 0.70990 0.1300 25.3 5.479 0.0011
longue e rapide - courte o rapide 0.33114 0.1360 29.9 2.429 0.5937
longue e rapide - longue a moyen -1.56159 0.1430 32.9 -10.913 <.0001
longue e rapide - courte a moyen -0.61493 0.1490 37.8 -4.120 0.0187
longue e rapide - longue e moyen 0.14359 0.0658 11.7 2.181 0.7368
longue e rapide - courte e moyen 0.53534 0.1490 37.8 3.587 0.0720
longue e rapide - longue o moyen 0.95358 0.1430 32.9 6.664 <.0001
longue e rapide - courte o moyen 0.41232 0.1490 37.8 2.763 0.3757
longue e rapide - longue a lent -1.65734 0.1430 32.8 -11.599 <.0001
longue e rapide - courte a lent -0.67220 0.1490 37.7 -4.510 0.0064
longue e rapide - longue e lent 0.24486 0.0654 11.8 3.744 0.1176
longue e rapide - courte e lent 0.52572 0.1490 37.7 3.527 0.0829
longue e rapide - longue o lent 1.00056 0.1430 32.8 7.002 <.0001
longue e rapide - courte o lent 0.37007 0.1490 37.7 2.483 0.5558
courte e rapide - longue o rapide 0.30484 0.1360 29.9 2.236 0.7174
courte e rapide - courte o rapide -0.07392 0.1300 25.3 -0.571 1.0000
courte e rapide - longue a moyen -1.96664 0.1490 37.8 -13.177 <.0001
courte e rapide - courte a moyen -1.01999 0.1430 32.9 -7.128 <.0001
courte e rapide - longue e moyen -0.26147 0.1490 37.8 -1.752 0.9423
courte e rapide - courte e moyen 0.13028 0.0658 11.7 1.979 0.8339
courte e rapide - longue o moyen 0.54852 0.1490 37.8 3.675 0.0583
courte e rapide - courte o moyen 0.00726 0.1430 32.9 0.051 1.0000
courte e rapide - longue a lent -2.06240 0.1490 37.7 -13.836 <.0001
courte e rapide - courte a lent -1.07726 0.1430 32.8 -7.539 <.0001
courte e rapide - longue e lent -0.16020 0.1490 37.7 -1.075 0.9997
courte e rapide - courte e lent 0.12066 0.0654 11.8 1.845 0.8874
courte e rapide - longue o lent 0.59550 0.1490 37.7 3.995 0.0261
courte e rapide - courte o lent -0.03499 0.1430 32.8 -0.245 1.0000
longue o rapide - courte o rapide -0.37876 0.1360 29.9 -2.778 0.3749
longue o rapide - longue a moyen -2.27149 0.1430 32.9 -15.875 <.0001
longue o rapide - courte a moyen -1.32483 0.1490 37.8 -8.876 <.0001
longue o rapide - longue e moyen -0.56631 0.1430 32.9 -3.958 0.0322
longue o rapide - courte e moyen -0.17456 0.1490 37.8 -1.170 0.9990
longue o rapide - longue o moyen 0.24368 0.0658 11.7 3.701 0.1255
longue o rapide - courte o moyen -0.29758 0.1490 37.8 -1.994 0.8541
longue o rapide - longue a lent -2.36724 0.1430 32.8 -16.567 <.0001
longue o rapide - courte a lent -1.38210 0.1490 37.7 -9.272 <.0001
longue o rapide - longue e lent -0.46504 0.1430 32.8 -3.255 0.1580
longue o rapide - courte e lent -0.18418 0.1490 37.7 -1.236 0.9981
longue o rapide - longue o lent 0.29066 0.0654 11.8 4.444 0.0416
longue o rapide - courte o lent -0.33983 0.1490 37.7 -2.280 0.6914
courte o rapide - longue a moyen -1.89273 0.1490 37.8 -12.681 <.0001
courte o rapide - courte a moyen -0.94607 0.1430 32.9 -6.612 <.0001
courte o rapide - longue e moyen -0.18755 0.1490 37.8 -1.257 0.9977
courte o rapide - courte e moyen 0.20420 0.1430 32.9 1.427 0.9905
courte o rapide - longue o moyen 0.62244 0.1490 37.8 4.170 0.0163
courte o rapide - courte o moyen 0.08118 0.0658 11.7 1.233 0.9953
courte o rapide - longue a lent -1.98848 0.1490 37.7 -13.340 <.0001
courte o rapide - courte a lent -1.00334 0.1430 32.8 -7.022 <.0001
courte o rapide - longue e lent -0.08628 0.1490 37.7 -0.579 1.0000
courte o rapide - courte e lent 0.19458 0.1430 32.8 1.362 0.9941
courte o rapide - longue o lent 0.66942 0.1490 37.7 4.491 0.0068
courte o rapide - courte o lent 0.03893 0.0654 11.8 0.595 1.0000
longue a moyen - courte a moyen 0.94666 0.1360 29.9 6.944 <.0001
longue a moyen - longue e moyen 1.70518 0.1300 25.3 13.161 <.0001
longue a moyen - courte e moyen 2.09692 0.1360 29.9 15.380 <.0001
longue a moyen - longue o moyen 2.51517 0.1300 25.3 19.413 <.0001
longue a moyen - courte o moyen 1.97391 0.1360 29.9 14.478 <.0001
longue a moyen - longue a lent -0.09576 0.0552 13.3 -1.736 0.9262
longue a moyen - courte a lent 0.88939 0.1450 36.0 6.140 0.0001
longue a moyen - longue e lent 1.80644 0.1390 31.1 13.043 <.0001
longue a moyen - courte e lent 2.08731 0.1450 36.0 14.409 <.0001
longue a moyen - longue o lent 2.56214 0.1390 31.1 18.499 <.0001
longue a moyen - courte o lent 1.93166 0.1450 36.0 13.335 <.0001
courte a moyen - longue e moyen 0.75852 0.1360 29.9 5.564 0.0005
courte a moyen - courte e moyen 1.15027 0.1300 25.3 8.878 <.0001
courte a moyen - longue o moyen 1.56851 0.1360 29.9 11.505 <.0001
courte a moyen - courte o moyen 1.02725 0.1300 25.3 7.929 <.0001
courte a moyen - longue a lent -1.04241 0.1450 36.0 -7.196 <.0001
courte a moyen - courte a lent -0.05727 0.0552 13.3 -1.038 0.9993
courte a moyen - longue e lent 0.85979 0.1450 36.0 5.935 0.0001
courte a moyen - courte e lent 1.14065 0.1390 31.1 8.236 <.0001
courte a moyen - longue o lent 1.61549 0.1450 36.0 11.152 <.0001
courte a moyen - courte o lent 0.98500 0.1390 31.1 7.112 <.0001
longue e moyen - courte e moyen 0.39175 0.1360 29.9 2.873 0.3229
longue e moyen - longue o moyen 0.80999 0.1300 25.3 6.252 0.0002
longue e moyen - courte o moyen 0.26873 0.1360 29.9 1.971 0.8604
longue e moyen - longue a lent -1.80093 0.1390 31.1 -13.003 <.0001
longue e moyen - courte a lent -0.81579 0.1450 36.0 -5.632 0.0003
longue e moyen - longue e lent 0.10127 0.0552 13.3 1.836 0.8944
longue e moyen - courte e lent 0.38213 0.1450 36.0 2.638 0.4540
longue e moyen - longue o lent 0.85697 0.1390 31.1 6.187 0.0001
longue e moyen - courte o lent 0.22648 0.1450 36.0 1.563 0.9779
courte e moyen - longue o moyen 0.41824 0.1360 29.9 3.068 0.2315
courte e moyen - courte o moyen -0.12302 0.1300 25.3 -0.950 0.9999
courte e moyen - longue a lent -2.19268 0.1450 36.0 -15.136 <.0001
courte e moyen - courte a lent -1.20754 0.1390 31.1 -8.719 <.0001
courte e moyen - longue e lent -0.29048 0.1450 36.0 -2.005 0.8479
courte e moyen - courte e lent -0.00962 0.0552 13.3 -0.174 1.0000
courte e moyen - longue o lent 0.46522 0.1450 36.0 3.212 0.1676
courte e moyen - courte o lent -0.16527 0.1390 31.1 -1.193 0.9986
longue o moyen - courte o moyen -0.54126 0.1360 29.9 -3.970 0.0339
longue o moyen - longue a lent -2.61092 0.1390 31.1 -18.851 <.0001
longue o moyen - courte a lent -1.62578 0.1450 36.0 -11.223 <.0001
longue o moyen - longue e lent -0.70872 0.1390 31.1 -5.117 0.0017
longue o moyen - courte e lent -0.42786 0.1450 36.0 -2.954 0.2742
longue o moyen - longue o lent 0.04698 0.0552 13.3 0.851 0.9999
longue o moyen - courte o lent -0.58351 0.1450 36.0 -4.028 0.0249
courte o moyen - longue a lent -2.06966 0.1450 36.0 -14.287 <.0001
courte o moyen - courte a lent -1.08452 0.1390 31.1 -7.830 <.0001
courte o moyen - longue e lent -0.16746 0.1450 36.0 -1.156 0.9991
courte o moyen - courte e lent 0.11340 0.1390 31.1 0.819 1.0000
courte o moyen - longue o lent 0.58824 0.1450 36.0 4.061 0.0229
courte o moyen - courte o lent -0.04225 0.0552 13.3 -0.766 1.0000
longue a lent - courte a lent 0.98514 0.1360 29.9 7.226 <.0001
longue a lent - longue e lent 1.90220 0.1300 25.3 14.682 <.0001
longue a lent - courte e lent 2.18306 0.1360 29.9 16.012 <.0001
longue a lent - longue o lent 2.65790 0.1300 25.3 20.515 <.0001
longue a lent - courte o lent 2.02741 0.1360 29.9 14.871 <.0001
courte a lent - longue e lent 0.91706 0.1360 29.9 6.726 <.0001
courte a lent - courte e lent 1.19792 0.1300 25.3 9.246 <.0001
courte a lent - longue o lent 1.67276 0.1360 29.9 12.269 <.0001
courte a lent - courte o lent 1.04227 0.1300 25.3 8.045 <.0001
longue e lent - courte e lent 0.28086 0.1360 29.9 2.060 0.8175
longue e lent - longue o lent 0.75570 0.1300 25.3 5.833 0.0005
longue e lent - courte o lent 0.12521 0.1360 29.9 0.918 0.9999
courte e lent - longue o lent 0.47484 0.1360 29.9 3.483 0.1021
courte e lent - courte o lent -0.15565 0.1300 25.3 -1.201 0.9982
longue o lent - courte o lent -0.63049 0.1360 29.9 -4.624 0.0066
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 18 estimates 11 F2midnor - Subset 2 - Timbre
11.1 Optimal model
11.1.1 Read Rds
lm.mod.Optimal <- readRDS("lm.mod.Optimal.F2midnorTimbreSub2.Rds")11.1.2 Summary
summary(lm.mod.Optimal)Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: F2midnor ~ Longueur * Timbre * Debit + Sex + (Timbre | Speaker) + (1 | Word)
Data: ArabicSub2
Control: lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+05))
REML criterion at convergence: -2607.5
Scaled residuals:
Min 1Q Median 3Q Max
-6.2880 -0.6254 -0.0095 0.6077 4.6769
Random effects:
Groups Name Variance Std.Dev. Corr
Word (Intercept) 0.039941 0.19985
Speaker (Intercept) 0.041953 0.20482
Timbree 0.003207 0.05663 -0.18
Timbreo 0.061854 0.24870 -0.89 -0.10
Residual 0.038751 0.19685
Number of obs: 7200, groups: Word, 30; Speaker, 10
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.22794 0.11333 31.85541 2.011 0.05283 .
Longueurcourte 0.19950 0.12716 24.38800 1.569 0.12956
Timbree 0.75207 0.12842 25.33228 5.856 3.94e-06 ***
Timbreo -0.96858 0.14952 33.28046 -6.478 2.29e-07 ***
Debitmoyen -0.03477 0.01392 7131.00005 -2.498 0.01252 *
Debitlent -0.07361 0.01392 7131.00005 -5.288 1.27e-07 ***
Sexm -0.58603 0.04751 7.99993 -12.335 1.74e-06 ***
Longueurcourte:Timbree -0.22604 0.17983 24.38800 -1.257 0.22069
Longueurcourte:Timbreo 0.21232 0.17983 24.38800 1.181 0.24914
Longueurcourte:Debitmoyen 0.02123 0.01969 7131.00005 1.079 0.28082
Longueurcourte:Debitlent 0.05525 0.01969 7131.00005 2.807 0.00502 **
Timbree:Debitmoyen 0.13084 0.01969 7131.00006 6.647 3.22e-11 ***
Timbreo:Debitmoyen -0.18024 0.01969 7131.00006 -9.156 < 2e-16 ***
Timbree:Debitlent 0.27057 0.01969 7131.00006 13.745 < 2e-16 ***
Timbreo:Debitlent -0.30407 0.01969 7131.00006 -15.447 < 2e-16 ***
Longueurcourte:Timbree:Debitmoyen -0.07468 0.02784 7131.00006 -2.683 0.00732 **
Longueurcourte:Timbreo:Debitmoyen 0.08927 0.02784 7131.00005 3.207 0.00135 **
Longueurcourte:Timbree:Debitlent -0.15012 0.02784 7131.00006 -5.392 7.17e-08 ***
Longueurcourte:Timbreo:Debitlent 0.16391 0.02784 7131.00005 5.888 4.10e-09 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation matrix not shown by default, as p = 19 > 12.
Use print(x, correlation=TRUE) or
vcov(x) if you need it11.1.3 Anova
print(anova(lm.mod.Optimal))Type III Analysis of Variance Table with Satterthwaite's method
Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
Longueur 0.362 0.3622 1 24.0 9.3482 0.005411 **
Timbre 7.978 3.9888 2 32.7 102.9343 7.856e-15 ***
Debit 3.796 1.8980 2 7131.0 48.9788 < 2.2e-16 ***
Sex 5.896 5.8962 1 8.0 152.1578 1.737e-06 ***
Longueur:Timbre 0.431 0.2157 2 24.0 5.5674 0.010320 *
Longueur:Debit 1.080 0.5401 2 7131.0 13.9378 9.093e-07 ***
Timbre:Debit 35.113 8.7783 4 7131.0 226.5333 < 2.2e-16 ***
Longueur:Timbre:Debit 4.938 1.2346 4 7131.0 31.8595 < 2.2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 111.1.4 Model’s fit
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")| F2midnor | |||
|---|---|---|---|
| Predictors | Estimates | CI | p |
| (Intercept) | 0.23 | 0.01 – 0.45 | 0.044 |
| Longueur [courte] | 0.20 | -0.05 – 0.45 | 0.117 |
| Timbre [e] | 0.75 | 0.50 – 1.00 | <0.001 |
| Timbre [o] | -0.97 | -1.26 – -0.68 | <0.001 |
| Debit [moyen] | -0.03 | -0.06 – -0.01 | 0.013 |
| Debit [lent] | -0.07 | -0.10 – -0.05 | <0.001 |
| Sex [m] | -0.59 | -0.68 – -0.49 | <0.001 |
| Longueur [courte] × Timbre [e] |
-0.23 | -0.58 – 0.13 | 0.209 |
| Longueur [courte] × Timbre [o] |
0.21 | -0.14 – 0.56 | 0.238 |
| Longueur [courte] × Debit [moyen] |
0.02 | -0.02 – 0.06 | 0.281 |
| Longueur [courte] × Debit [lent] |
0.06 | 0.02 – 0.09 | 0.005 |
| Timbre [e] × Debit [moyen] |
0.13 | 0.09 – 0.17 | <0.001 |
| Timbre [o] × Debit [moyen] |
-0.18 | -0.22 – -0.14 | <0.001 |
| Timbre [e] × Debit [lent] | 0.27 | 0.23 – 0.31 | <0.001 |
| Timbre [o] × Debit [lent] | -0.30 | -0.34 – -0.27 | <0.001 |
| (Longueur [courte] × Timbre [e]) × Debit [moyen] |
-0.07 | -0.13 – -0.02 | 0.007 |
| (Longueur [courte] × Timbre [o]) × Debit [moyen] |
0.09 | 0.03 – 0.14 | 0.001 |
| (Longueur [courte] × Timbre [e]) × Debit [lent] |
-0.15 | -0.20 – -0.10 | <0.001 |
| (Longueur [courte] × Timbre [o]) × Debit [lent] |
0.16 | 0.11 – 0.22 | <0.001 |
| Random Effects | |||
| σ2 | 0.04 | ||
| τ00 Word | 0.04 | ||
| τ00 Speaker | 0.04 | ||
| τ11 Speaker.Timbree | 0.00 | ||
| τ11 Speaker.Timbreo | 0.06 | ||
| ρ01 Speaker.Timbree | -0.18 | ||
| ρ01 Speaker.Timbreo | -0.89 | ||
| ICC | 0.65 | ||
| N Speaker | 10 | ||
| N Word | 30 | ||
| Observations | 7200 | ||
| Marginal R2 / Conditional R2 | 0.847 / 0.947 | ||
11.1.5 Evaluating Model’s assumptions - normality of residuals
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
11.1.6 Pairwise Comparison
11.1.6.1 Debit
if (file.exists(file = "emmF2Sub2Debit.Rds")){
emmF2Sub2Debit <- readRDS("emmF2Sub2Debit.Rds")
}else{
emmF2Sub2Debit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
saveRDS(emmF2Sub2Debit, "emmF2Sub2Debit.Rds")
emmF2Sub2Debit <- readRDS("emmF2Sub2Debit.Rds")
}
emmF2Sub2Debit$emmeans
Debit emmean SE df lower.CL upper.CL
rapide -0.0398 0.0553 22.1 -0.154 0.0749
moyen -0.0780 0.0553 22.1 -0.193 0.0367
lent -0.0946 0.0553 22.1 -0.209 0.0200
Results are averaged over the levels of: Longueur, Timbre, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
rapide - moyen 0.0382 0.00568 7131 6.720 <.0001
rapide - lent 0.0549 0.00568 7131 9.653 <.0001
moyen - lent 0.0167 0.00568 7131 2.933 0.0094
Results are averaged over the levels of: Longueur, Timbre, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 3 estimates 11.1.6.2 Timbre
if (file.exists(file = "emmF2Sub2Timbre.Rds")){
emmF2Sub2Timbre <- readRDS("emmF2Sub2Timbre.Rds")
}else{
emmF2Sub2Timbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre)
saveRDS(emmF2Sub2Timbre, "emmF2Sub2Timbre.Rds")
emmF2Sub2Timbre <- readRDS("emmF2Sub2Timbre.Rds")
}
emmF2Sub2Timbre$emmeans
Timbre emmean SE df lower.CL upper.CL
a 0.0113 0.0906 24.9 -0.175 0.198
e 0.7467 0.0900 25.2 0.561 0.932
o -0.9704 0.0727 32.1 -1.118 -0.822
Results are averaged over the levels of: Longueur, Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
a - e -0.735 0.0913 25.8 -8.052 <.0001
a - o 0.982 0.1190 28.9 8.236 <.0001
e - o 1.717 0.1220 27.9 14.112 <.0001
Results are averaged over the levels of: Longueur, Debit, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 3 estimates 11.1.6.3 Longueur
if (file.exists(file = "emmF2Sub2Longueur.Rds")){
emmF2Sub2Longueur <- readRDS("emmF2Sub2Longueur.Rds")
}else{
emmF2Sub2Longueur <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur)
saveRDS(emmF2Sub2Longueur, "emmF2Sub2Longueur.Rds")
emmF2Sub2Longueur <- readRDS("emmF2Sub2Longueur.Rds")
}
emmF2Sub2Longueur$emmeans
Longueur emmean SE df lower.CL upper.CL
longue -0.183 0.0662 29.7 -0.3179 -0.0473
courte 0.041 0.0662 29.7 -0.0943 0.1763
Results are averaged over the levels of: Timbre, Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
longue - courte -0.224 0.0731 24 -3.057 0.0054
Results are averaged over the levels of: Timbre, Debit, Sex
Degrees-of-freedom method: kenward-roger 11.1.6.4 Longueur x Timbre
if (file.exists(file = "emmF2Sub2LongueurTimbre.Rds")){
emmF2Sub2LongueurTimbre <- readRDS("emmF2Sub2LongueurTimbre.Rds")
}else{
emmF2Sub2LongueurTimbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Timbre)
saveRDS(emmF2Sub2LongueurTimbre, "emmF2Sub2LongueurTimbre.Rds")
emmF2Sub2LongueurTimbre <- readRDS("emmF2Sub2LongueurTimbre.Rds")
}
emmF2Sub2LongueurTimbre$emmeans
Longueur Timbre emmean SE df lower.CL upper.CL
longue a -0.101 0.1110 31.7 -0.326 0.124
courte a 0.124 0.1110 31.7 -0.101 0.349
longue e 0.785 0.1100 31.8 0.560 1.009
courte e 0.709 0.1100 31.8 0.484 0.933
longue o -1.231 0.0964 30.0 -1.428 -1.034
courte o -0.710 0.0964 30.0 -0.906 -0.513
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
longue a - courte a -0.225 0.127 24.0 -1.776 0.4984
longue a - longue e -0.886 0.128 24.9 -6.926 <.0001
longue a - courte e -0.810 0.128 24.9 -6.332 <.0001
longue a - longue o 1.130 0.149 32.9 7.580 <.0001
longue a - courte o 0.608 0.149 32.9 4.080 0.0034
courte a - longue e -0.661 0.128 24.9 -5.167 0.0003
courte a - courte e -0.585 0.128 24.9 -4.573 0.0014
courte a - longue o 1.355 0.149 32.9 9.089 <.0001
courte a - courte o 0.833 0.149 32.9 5.589 <.0001
longue e - courte e 0.076 0.127 24.0 0.600 0.9900
longue e - longue o 2.016 0.151 32.8 13.343 <.0001
longue e - courte o 1.494 0.151 32.8 9.890 <.0001
courte e - longue o 1.940 0.151 32.8 12.840 <.0001
courte e - courte o 1.418 0.151 32.8 9.387 <.0001
longue o - courte o -0.522 0.127 24.0 -4.119 0.0046
Results are averaged over the levels of: Debit, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 6 estimates 11.1.6.5 Longueur x Debit
if (file.exists(file = "emmF2Sub2LongueurDebit.Rds")){
emmF2Sub2LongueurDebit <- readRDS("emmF2Sub2LongueurDebit.Rds")
}else{
emmF2Sub2LongueurDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Debit)
saveRDS(emmF2Sub2LongueurDebit, "emmF2Sub2LongueurDebit.Rds")
emmF2Sub2LongueurDebit <- readRDS("emmF2Sub2LongueurDebit.Rds")
}
emmF2Sub2LongueurDebit$emmeans
Longueur Debit emmean SE df lower.CL upper.CL
longue rapide -0.1372 0.0664 30 -0.2728 -0.00169
courte rapide 0.0577 0.0664 30 -0.0779 0.19324
longue moyen -0.1885 0.0664 30 -0.3240 -0.05292
courte moyen 0.0325 0.0664 30 -0.1030 0.16810
longue lent -0.2220 0.0664 30 -0.3576 -0.08646
courte lent 0.0328 0.0664 30 -0.1028 0.16831
Results are averaged over the levels of: Timbre, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
longue rapide - courte rapide -0.194927 0.07340 24.4 -2.655 0.1217
longue rapide - longue moyen 0.051236 0.00804 7131.0 6.375 <.0001
longue rapide - courte moyen -0.169787 0.07340 24.4 -2.313 0.2272
longue rapide - longue lent 0.084774 0.00804 7131.0 10.549 <.0001
longue rapide - courte lent -0.169996 0.07340 24.4 -2.315 0.2261
courte rapide - longue moyen 0.246163 0.07340 24.4 3.353 0.0278
courte rapide - courte moyen 0.025140 0.00804 7131.0 3.128 0.0218
courte rapide - longue lent 0.279702 0.07340 24.4 3.810 0.0096
courte rapide - courte lent 0.024932 0.00804 7131.0 3.102 0.0237
longue moyen - courte moyen -0.221023 0.07340 24.4 -3.011 0.0590
longue moyen - longue lent 0.033539 0.00804 7131.0 4.173 0.0004
longue moyen - courte lent -0.221231 0.07340 24.4 -3.013 0.0587
courte moyen - longue lent 0.254562 0.07340 24.4 3.467 0.0214
courte moyen - courte lent -0.000208 0.00804 7131.0 -0.026 1.0000
longue lent - courte lent -0.254770 0.07340 24.4 -3.470 0.0213
Results are averaged over the levels of: Timbre, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 6 estimates 11.1.6.6 Timbre x Debit
if (file.exists(file = "emmF2Sub2TimbreDebit.Rds")){
emmF2Sub2TimbreDebit <- readRDS("emmF2Sub2TimbreDebit.Rds")
}else{
emmF2Sub2TimbreDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre:Debit)
saveRDS(emmF2Sub2TimbreDebit, "emmF2Sub2TimbreDebit.Rds")
emmF2Sub2TimbreDebit <- readRDS("emmF2Sub2TimbreDebit.Rds")
}
emmF2Sub2TimbreDebit$emmeans
Timbre Debit emmean SE df lower.CL upper.CL
a rapide 0.0347 0.0908 25.1 -0.152 0.222
e rapide 0.6737 0.0902 25.4 0.488 0.859
o rapide -0.8277 0.0729 32.5 -0.976 -0.679
a moyen 0.0105 0.0908 25.1 -0.176 0.197
e moyen 0.7431 0.0902 25.4 0.557 0.929
o moyen -0.9875 0.0729 32.5 -1.136 -0.839
a lent -0.0113 0.0908 25.1 -0.198 0.176
e lent 0.8233 0.0902 25.4 0.638 1.009
o lent -1.0958 0.0729 32.5 -1.244 -0.947
Results are averaged over the levels of: Longueur, Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
a rapide - e rapide -0.6391 0.09170 26.2 -6.970 <.0001
a rapide - o rapide 0.8624 0.11900 29.2 7.219 <.0001
a rapide - a moyen 0.0242 0.00984 7131.0 2.454 0.2550
a rapide - e moyen -0.7084 0.09170 26.2 -7.727 <.0001
a rapide - o moyen 1.0222 0.11900 29.2 8.557 <.0001
a rapide - a lent 0.0460 0.00984 7131.0 4.672 0.0001
a rapide - e lent -0.7886 0.09170 26.2 -8.601 <.0001
a rapide - o lent 1.1305 0.11900 29.2 9.464 <.0001
e rapide - o rapide 1.5015 0.12200 28.2 12.313 <.0001
e rapide - a moyen 0.6632 0.09170 26.2 7.234 <.0001
e rapide - e moyen -0.0693 0.00984 7131.0 -7.045 <.0001
e rapide - o moyen 1.6612 0.12200 28.2 13.623 <.0001
e rapide - a lent 0.6850 0.09170 26.2 7.472 <.0001
e rapide - e lent -0.1495 0.00984 7131.0 -15.192 <.0001
e rapide - o lent 1.7696 0.12200 28.2 14.512 <.0001
o rapide - a moyen -0.8383 0.11900 29.2 -7.017 <.0001
o rapide - e moyen -1.5708 0.12200 28.2 -12.882 <.0001
o rapide - o moyen 0.1598 0.00984 7131.0 16.231 <.0001
o rapide - a lent -0.8164 0.11900 29.2 -6.834 <.0001
o rapide - e lent -1.6510 0.12200 28.2 -13.539 <.0001
o rapide - o lent 0.2681 0.00984 7131.0 27.239 <.0001
a moyen - e moyen -0.7326 0.09170 26.2 -7.990 <.0001
a moyen - o moyen 0.9980 0.11900 29.2 8.354 <.0001
a moyen - a lent 0.0218 0.00984 7131.0 2.218 0.3939
a moyen - e lent -0.8127 0.09170 26.2 -8.865 <.0001
a moyen - o lent 1.1064 0.11900 29.2 9.261 <.0001
e moyen - o moyen 1.7306 0.12200 28.2 14.192 <.0001
e moyen - a lent 0.7544 0.09170 26.2 8.228 <.0001
e moyen - e lent -0.0802 0.00984 7131.0 -8.146 <.0001
e moyen - o lent 1.8389 0.12200 28.2 15.080 <.0001
o moyen - a lent -0.9762 0.11900 29.2 -8.172 <.0001
o moyen - e lent -1.8108 0.12200 28.2 -14.849 <.0001
o moyen - o lent 0.1083 0.00984 7131.0 11.008 <.0001
a lent - e lent -0.8346 0.09170 26.2 -9.103 <.0001
a lent - o lent 1.0845 0.11900 29.2 9.079 <.0001
e lent - o lent 1.9191 0.12200 28.2 15.738 <.0001
Results are averaged over the levels of: Longueur, Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 9 estimates 11.1.6.7 Longueur x Timbre x Debit
if (file.exists(file = "emmF2Sub2LongueurTimbreDebit.Rds")){
emmF2Sub2LongueurTimbreDebit <- readRDS("emmF2Sub2LongueurTimbreDebit.Rds")
}else{
emmF2Sub2LongueurTimbreDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Timbre:Debit)
saveRDS(emmF2Sub2LongueurTimbreDebit, "emmF2Sub2LongueurTimbreDebit.Rds")
emmF2Sub2LongueurTimbreDebit <- readRDS("emmF2Sub2LongueurTimbreDebit.Rds")
}
emmF2Sub2LongueurTimbreDebit$emmeans
Longueur Timbre Debit emmean SE df lower.CL upper.CL
longue a rapide -0.0651 0.1110 32.0 -0.2908 0.161
courte a rapide 0.1344 0.1110 32.0 -0.0913 0.360
longue e rapide 0.6870 0.1100 32.1 0.4622 0.912
courte e rapide 0.6605 0.1100 32.1 0.4357 0.885
longue o rapide -1.0337 0.0967 30.4 -1.2311 -0.836
courte o rapide -0.6218 0.0967 30.4 -0.8193 -0.424
longue a moyen -0.0998 0.1110 32.0 -0.3256 0.126
courte a moyen 0.1209 0.1110 32.0 -0.1048 0.347
longue e moyen 0.7831 0.1100 32.1 0.5583 1.008
courte e moyen 0.7031 0.1100 32.1 0.4783 0.928
longue o moyen -1.2487 0.0967 30.4 -1.4461 -1.051
courte o moyen -0.7263 0.0967 30.4 -0.9238 -0.529
longue a lent -0.1387 0.1110 32.0 -0.3644 0.087
courte a lent 0.1161 0.1110 32.0 -0.1097 0.342
longue e lent 0.8840 0.1100 32.1 0.6592 1.109
courte e lent 0.7625 0.1100 32.1 0.5378 0.987
longue o lent -1.4113 0.0967 30.4 -1.6088 -1.214
courte o lent -0.7804 0.0967 30.4 -0.9778 -0.583
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
Confidence level used: 0.95
$contrasts
contrast estimate SE df t.ratio p.value
longue a rapide - courte a rapide -0.19950 0.1270 24.4 -1.569 0.9735
longue a rapide - longue e rapide -0.75207 0.1280 25.3 -5.856 0.0004
longue a rapide - courte e rapide -0.72553 0.1280 25.3 -5.650 0.0007
longue a rapide - longue o rapide 0.96858 0.1500 33.3 6.478 <.0001
longue a rapide - courte o rapide 0.55676 0.1500 33.3 3.724 0.0561
longue a rapide - longue a moyen 0.03477 0.0139 7131.0 2.498 0.5320
longue a rapide - courte a moyen -0.18596 0.1270 24.4 -1.462 0.9860
longue a rapide - longue e moyen -0.84814 0.1280 25.3 -6.605 0.0001
longue a rapide - courte e moyen -0.76815 0.1280 25.3 -5.982 0.0003
longue a rapide - longue o moyen 1.18358 0.1500 33.3 7.916 <.0001
longue a rapide - courte o moyen 0.66126 0.1500 33.3 4.423 0.0096
longue a rapide - longue a lent 0.07361 0.0139 7131.0 5.288 <.0001
longue a rapide - courte a lent -0.18114 0.1270 24.4 -1.424 0.9891
longue a rapide - longue e lent -0.94903 0.1280 25.3 -7.390 <.0001
longue a rapide - courte e lent -0.82762 0.1280 25.3 -6.445 0.0001
longue a rapide - longue o lent 1.34625 0.1500 33.3 9.004 <.0001
longue a rapide - courte o lent 0.71528 0.1500 33.3 4.784 0.0036
courte a rapide - longue e rapide -0.55257 0.1280 25.3 -4.303 0.0185
courte a rapide - courte e rapide -0.52603 0.1280 25.3 -4.096 0.0298
courte a rapide - longue o rapide 1.16808 0.1500 33.3 7.812 <.0001
courte a rapide - courte o rapide 0.75626 0.1500 33.3 5.058 0.0017
courte a rapide - longue a moyen 0.23427 0.1270 24.4 1.842 0.9074
courte a rapide - courte a moyen 0.01354 0.0139 7131.0 0.973 1.0000
courte a rapide - longue e moyen -0.64864 0.1280 25.3 -5.051 0.0031
courte a rapide - courte e moyen -0.56865 0.1280 25.3 -4.428 0.0138
courte a rapide - longue o moyen 1.38308 0.1500 33.3 9.250 <.0001
courte a rapide - courte o moyen 0.86076 0.1500 33.3 5.757 0.0002
courte a rapide - longue a lent 0.27311 0.1270 24.4 2.148 0.7667
courte a rapide - courte a lent 0.01836 0.0139 7131.0 1.319 0.9979
courte a rapide - longue e lent -0.74953 0.1280 25.3 -5.837 0.0005
courte a rapide - courte e lent -0.62812 0.1280 25.3 -4.891 0.0046
courte a rapide - longue o lent 1.54575 0.1500 33.3 10.338 <.0001
courte a rapide - courte o lent 0.91478 0.1500 33.3 6.118 0.0001
longue e rapide - courte e rapide 0.02654 0.1270 24.4 0.209 1.0000
longue e rapide - longue o rapide 1.72065 0.1520 33.2 11.357 <.0001
longue e rapide - courte o rapide 1.30883 0.1520 33.2 8.639 <.0001
longue e rapide - longue a moyen 0.78684 0.1280 25.3 6.127 0.0002
longue e rapide - courte a moyen 0.56611 0.1280 25.3 4.408 0.0145
longue e rapide - longue e moyen -0.09607 0.0139 7131.0 -6.902 <.0001
longue e rapide - courte e moyen -0.01608 0.1270 24.4 -0.126 1.0000
longue e rapide - longue o moyen 1.93565 0.1520 33.2 12.776 <.0001
longue e rapide - courte o moyen 1.41333 0.1520 33.2 9.328 <.0001
longue e rapide - longue a lent 0.82568 0.1280 25.3 6.430 0.0001
longue e rapide - courte a lent 0.57093 0.1280 25.3 4.446 0.0133
longue e rapide - longue e lent -0.19696 0.0139 7131.0 -14.150 <.0001
longue e rapide - courte e lent -0.07555 0.1270 24.4 -0.594 1.0000
longue e rapide - longue o lent 2.09832 0.1520 33.2 13.850 <.0001
longue e rapide - courte o lent 1.46735 0.1520 33.2 9.685 <.0001
courte e rapide - longue o rapide 1.69411 0.1520 33.2 11.182 <.0001
courte e rapide - courte o rapide 1.28229 0.1520 33.2 8.463 <.0001
courte e rapide - longue a moyen 0.76030 0.1280 25.3 5.921 0.0004
courte e rapide - courte a moyen 0.53957 0.1280 25.3 4.202 0.0234
courte e rapide - longue e moyen -0.12261 0.1270 24.4 -0.964 0.9999
courte e rapide - courte e moyen -0.04262 0.0139 7131.0 -3.062 0.1717
courte e rapide - longue o moyen 1.90912 0.1520 33.2 12.601 <.0001
courte e rapide - courte o moyen 1.38679 0.1520 33.2 9.153 <.0001
courte e rapide - longue a lent 0.79914 0.1280 25.3 6.223 0.0002
courte e rapide - courte a lent 0.54439 0.1280 25.3 4.239 0.0215
courte e rapide - longue e lent -0.22350 0.1270 24.4 -1.758 0.9339
courte e rapide - courte e lent -0.10209 0.0139 7131.0 -7.334 <.0001
courte e rapide - longue o lent 2.07179 0.1520 33.2 13.674 <.0001
courte e rapide - courte o lent 1.44082 0.1520 33.2 9.510 <.0001
longue o rapide - courte o rapide -0.41182 0.1270 24.4 -3.239 0.1801
longue o rapide - longue a moyen -0.93381 0.1500 33.3 -6.245 0.0001
longue o rapide - courte a moyen -1.15454 0.1500 33.3 -7.722 <.0001
longue o rapide - longue e moyen -1.81672 0.1520 33.2 -11.991 <.0001
longue o rapide - courte e moyen -1.73673 0.1520 33.2 -11.463 <.0001
longue o rapide - longue o moyen 0.21501 0.0139 7131.0 15.446 <.0001
longue o rapide - courte o moyen -0.30731 0.1270 24.4 -2.417 0.6030
longue o rapide - longue a lent -0.89497 0.1500 33.3 -5.986 0.0001
longue o rapide - courte a lent -1.14972 0.1500 33.3 -7.689 <.0001
longue o rapide - longue e lent -1.91761 0.1520 33.2 -12.657 <.0001
longue o rapide - courte e lent -1.79620 0.1520 33.2 -11.855 <.0001
longue o rapide - longue o lent 0.37768 0.0139 7131.0 27.133 <.0001
longue o rapide - courte o lent -0.25329 0.1270 24.4 -1.992 0.8468
courte o rapide - longue a moyen -0.52199 0.1500 33.3 -3.491 0.0953
courte o rapide - courte a moyen -0.74272 0.1500 33.3 -4.967 0.0022
courte o rapide - longue e moyen -1.40490 0.1520 33.2 -9.273 <.0001
courte o rapide - courte e moyen -1.32491 0.1520 33.2 -8.745 <.0001
courte o rapide - longue o moyen 0.62683 0.1270 24.4 4.929 0.0045
courte o rapide - courte o moyen 0.10450 0.0139 7131.0 7.508 <.0001
courte o rapide - longue a lent -0.48315 0.1500 33.3 -3.231 0.1648
courte o rapide - courte a lent -0.73790 0.1500 33.3 -4.935 0.0024
courte o rapide - longue e lent -1.50579 0.1520 33.2 -9.939 <.0001
courte o rapide - courte e lent -1.38438 0.1520 33.2 -9.137 <.0001
courte o rapide - longue o lent 0.78950 0.1270 24.4 6.209 0.0002
courte o rapide - courte o lent 0.15852 0.0139 7131.0 11.389 <.0001
longue a moyen - courte a moyen -0.22073 0.1270 24.4 -1.736 0.9398
longue a moyen - longue e moyen -0.88291 0.1280 25.3 -6.875 <.0001
longue a moyen - courte e moyen -0.80292 0.1280 25.3 -6.252 0.0002
longue a moyen - longue o moyen 1.14881 0.1500 33.3 7.683 <.0001
longue a moyen - courte o moyen 0.62649 0.1500 33.3 4.190 0.0177
longue a moyen - longue a lent 0.03884 0.0139 7131.0 2.790 0.3192
longue a moyen - courte a lent -0.21591 0.1270 24.4 -1.698 0.9492
longue a moyen - longue e lent -0.98380 0.1280 25.3 -7.661 <.0001
longue a moyen - courte e lent -0.86239 0.1280 25.3 -6.716 0.0001
longue a moyen - longue o lent 1.31148 0.1500 33.3 8.771 <.0001
longue a moyen - courte o lent 0.68051 0.1500 33.3 4.551 0.0068
courte a moyen - longue e moyen -0.66218 0.1280 25.3 -5.156 0.0024
courte a moyen - courte e moyen -0.58219 0.1280 25.3 -4.534 0.0108
courte a moyen - longue o moyen 1.36955 0.1500 33.3 9.160 <.0001
courte a moyen - courte o moyen 0.84722 0.1500 33.3 5.666 0.0003
courte a moyen - longue a lent 0.25957 0.1270 24.4 2.041 0.8231
courte a moyen - courte a lent 0.00482 0.0139 7131.0 0.346 1.0000
courte a moyen - longue e lent -0.76307 0.1280 25.3 -5.942 0.0004
courte a moyen - courte e lent -0.64166 0.1280 25.3 -4.997 0.0035
courte a moyen - longue o lent 1.53222 0.1500 33.3 10.248 <.0001
courte a moyen - courte o lent 0.90125 0.1500 33.3 6.028 0.0001
longue e moyen - courte e moyen 0.07999 0.1270 24.4 0.629 1.0000
longue e moyen - longue o moyen 2.03172 0.1520 33.2 13.410 <.0001
longue e moyen - courte o moyen 1.50940 0.1520 33.2 9.962 <.0001
longue e moyen - longue a lent 0.92175 0.1280 25.3 7.178 <.0001
longue e moyen - courte a lent 0.66700 0.1280 25.3 5.194 0.0022
longue e moyen - longue e lent -0.10089 0.0139 7131.0 -7.248 <.0001
longue e moyen - courte e lent 0.02052 0.1270 24.4 0.161 1.0000
longue e moyen - longue o lent 2.19439 0.1520 33.2 14.484 <.0001
longue e moyen - courte o lent 1.56342 0.1520 33.2 10.319 <.0001
courte e moyen - longue o moyen 1.95174 0.1520 33.2 12.882 <.0001
courte e moyen - courte o moyen 1.42942 0.1520 33.2 9.435 <.0001
courte e moyen - longue a lent 0.84176 0.1280 25.3 6.555 0.0001
courte e moyen - courte a lent 0.58701 0.1280 25.3 4.571 0.0099
courte e moyen - longue e lent -0.18088 0.1270 24.4 -1.422 0.9892
courte e moyen - courte e lent -0.05947 0.0139 7131.0 -4.272 0.0026
courte e moyen - longue o lent 2.11441 0.1520 33.2 13.956 <.0001
courte e moyen - courte o lent 1.48344 0.1520 33.2 9.791 <.0001
longue o moyen - courte o moyen -0.52232 0.1270 24.4 -4.108 0.0303
longue o moyen - longue a lent -1.10998 0.1500 33.3 -7.424 <.0001
longue o moyen - courte a lent -1.36472 0.1500 33.3 -9.127 <.0001
longue o moyen - longue e lent -2.13262 0.1520 33.2 -14.076 <.0001
longue o moyen - courte e lent -2.01121 0.1520 33.2 -13.275 <.0001
longue o moyen - longue o lent 0.16267 0.0139 7131.0 11.686 <.0001
longue o moyen - courte o lent -0.46830 0.1270 24.4 -3.683 0.0756
courte o moyen - longue a lent -0.58765 0.1500 33.3 -3.930 0.0341
courte o moyen - courte a lent -0.84240 0.1500 33.3 -5.634 0.0003
courte o moyen - longue e lent -1.61029 0.1520 33.2 -10.628 <.0001
courte o moyen - courte e lent -1.48888 0.1520 33.2 -9.827 <.0001
courte o moyen - longue o lent 0.68499 0.1270 24.4 5.387 0.0015
courte o moyen - courte o lent 0.05402 0.0139 7131.0 3.881 0.0127
longue a lent - courte a lent -0.25475 0.1270 24.4 -2.003 0.8415
longue a lent - longue e lent -1.02264 0.1280 25.3 -7.963 <.0001
longue a lent - courte e lent -0.90123 0.1280 25.3 -7.018 <.0001
longue a lent - longue o lent 1.27265 0.1500 33.3 8.512 <.0001
longue a lent - courte o lent 0.64168 0.1500 33.3 4.292 0.0136
courte a lent - longue e lent -0.76789 0.1280 25.3 -5.980 0.0003
courte a lent - courte e lent -0.64648 0.1280 25.3 -5.034 0.0032
courte a lent - longue o lent 1.52739 0.1500 33.3 10.215 <.0001
courte a lent - courte o lent 0.89642 0.1500 33.3 5.995 0.0001
longue e lent - courte e lent 0.12141 0.1270 24.4 0.955 0.9999
longue e lent - longue o lent 2.29529 0.1520 33.2 15.150 <.0001
longue e lent - courte o lent 1.66431 0.1520 33.2 10.985 <.0001
courte e lent - longue o lent 2.17388 0.1520 33.2 14.348 <.0001
courte e lent - courte o lent 1.54291 0.1520 33.2 10.184 <.0001
longue o lent - courte o lent -0.63097 0.1270 24.4 -4.962 0.0042
Results are averaged over the levels of: Sex
Degrees-of-freedom method: kenward-roger
P value adjustment: tukey method for comparing a family of 18 estimates 12 session info
sessionInfo()R version 4.4.2 (2024-10-31 ucrt)
Platform: x86_64-w64-mingw32/x64
Running under: Windows 10 x64 (build 19045)
Matrix products: default
locale:
[1] LC_COLLATE=English_United Kingdom.utf8 LC_CTYPE=English_United Kingdom.utf8
[3] LC_MONETARY=English_United Kingdom.utf8 LC_NUMERIC=C
[5] LC_TIME=English_United Kingdom.utf8
time zone: Europe/Paris
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] htmltools_0.5.8.1 sjPlot_2.8.17 phonR_1.0-7 emmeans_1.10.5 lmerTest_3.1-3
[6] lme4_1.1-35.5 Matrix_1.7-1 lubridate_1.9.4 forcats_1.0.0 stringr_1.5.1
[11] dplyr_1.1.4 purrr_1.0.2 readr_2.1.5 tidyr_1.3.1 tibble_3.2.1
[16] ggplot2_3.5.1 tidyverse_2.0.0
loaded via a namespace (and not attached):
[1] gtable_0.3.6 bayestestR_0.15.0 xfun_0.49 insight_1.0.0 lattice_0.22-6
[6] tzdb_0.4.0 numDeriv_2016.8-1.1 sjstats_0.19.0 vctrs_0.6.5 tools_4.4.2
[11] generics_0.1.3 parallel_4.4.2 pbkrtest_0.5.3 datawizard_0.13.0 sandwich_3.1-1
[16] fansi_1.0.6 pkgconfig_2.0.3 ggeffects_2.0.0 lifecycle_1.0.4 compiler_4.4.2
[21] sjmisc_2.8.10 munsell_0.5.1 codetools_0.2-20 yaml_2.3.10 pillar_1.9.0
[26] nloptr_2.1.1 MASS_7.3-61 rsconnect_1.3.3 boot_1.3-31 multcomp_1.4-26
[31] nlme_3.1-166 sjlabelled_1.2.0 tidyselect_1.2.1 digest_0.6.37 performance_0.12.4
[36] mvtnorm_1.3-2 stringi_1.8.4 splines_4.4.2 fastmap_1.2.0 grid_4.4.2
[41] colorspace_2.1-1 cli_3.6.3 magrittr_2.0.3 survival_3.7-0 utf8_1.2.4
[46] broom_1.0.7 TH.data_1.1-2 withr_3.0.2 backports_1.5.0 scales_1.3.0
[51] timechange_0.3.0 estimability_1.5.1 rmarkdown_2.29 zoo_1.8-12 hms_1.1.3
[56] coda_0.19-4.1 evaluate_1.0.1 knitr_1.49 parameters_0.24.0 rlang_1.1.4
[61] Rcpp_1.0.13-1 xtable_1.8-4 glue_1.8.0 effectsize_1.0.0 rstudioapi_0.17.1
[66] minqa_1.2.8 R6_2.5.1 ---
title: "Modelling Arabic data - Results"
author: 
  name: "Jalal Al-Tamimi"
  affiliation: "Université Paris Cité"
date: "`r format(Sys.time(), '%d %B %Y')`"
output: 
  html_notebook:
    number_sections: true
    toc: true
    toc_depth: 6
    toc_float:
      collapsed: true
---


# Loading libraries

```{r}
library(tidyverse)
library(lmerTest)
library(emmeans)
library(phonR)
library(sjPlot)
library(htmltools)
emm_options(pbkrtest.limit = 20000)
options(max.print=1000000)
```

# Read dataset and manipulate

## Read datasets

```{r}
Arabic <- read.csv("SpeakingRate24.csv") 
Vratio <- read.csv("Vratio.csv")
```

## Manipulations

```{r}
Arabic <- subset(Arabic, select = -Arabic_phrase) ### Supprimer la colonne des phrases en arabe pour éviter les problèmes avec PdfLaTex lors de la compilation LaTex R. Sinon, utiliser XeLaTex pour l'écriture arabe. 
Arabic$CVC <- gsub(' ', '', Arabic$CVC)#supprimer les espaces 
Arabic$V <- gsub(' ', '', Arabic$V)#supprimer les espaces
Arabic$Length <- gsub(' ', '', Arabic$Length)#supprimer les espaces 

Arabic$f0ons <- as.integer(gsub('--undefined--', NA, Arabic$f0ons))
Arabic$f0mid <- as.integer(gsub('--undefined--', NA, Arabic$f0mid))
Arabic$f0off <- as.integer(gsub('--undefined--', NA, Arabic$f0off))


Arabic <- dplyr::mutate_if(Arabic, is.character, as.factor) ## Transformer tous les variables de type "character" à des facteurs. 
#Arabic <- filter(Arabic, V!="e:" & V!="o:")
Arabic$V = factor(Arabic$V, levels = c('i','a','u','i:','a:','u:','e:','o:')) ## ordonner l'ordre de l'apparition V
Arabic$C <- factor(Arabic$C, levels=c("b","d","g","t","k")) ## ordonner l'ordre de l'apparition C
Arabic$VOTi <- as.integer(Arabic$VOTi)
#Arabic$Word_V_ratio <- as.numeric(gsub(',', '.', Arabic$Word_V_ratio)) #remplacer les virgules en points dans les nombres décimaux pour pouvoir faire des calculs. 

levels(Arabic$Rate) <- list("rapide" = "fast",        # Change factor levels
                            "moyen" = "normal",
                            "lent" = "slow")
levels(Arabic$Length) <- list("longue" = "long",        # Change factor levels
                              "courte" = "short")
Arabic <- dplyr::rename(Arabic, Debit = Rate, Longueur = Length)

Arabic$F1midnor <- with(Arabic, normLobanov(F1mid)) #normalisation de F1mid et F2mid
Arabic$F2midnor <- with(Arabic, normLobanov(F2mid)) #normalisation de F1mid et F2mid

Vratio <- dplyr::rename(Vratio, Debit = Rate)

### sous-ensemble 1
ArabicSub1 <- Arabic
ArabicSub1 <- ArabicSub1 %>% 
  filter(Timbre %in% c("i", "a", "u")) %>% droplevels()

### sous-ensemble 2
ArabicSub2 <- Arabic
ArabicSub2 <- ArabicSub2 %>% 
  filter(V %in% c("i", "a", "u", "e:", "u:", "a:")) %>% droplevels()

ArabicSub2$Timbre=gsub('i','e', ArabicSub2$Timbre)
ArabicSub2$Timbre=gsub('u','o', ArabicSub2$Timbre)

ArabicSub2$Timbre= as.factor(ArabicSub2$Timbre)
```


 
# Duration

## Optimal model

### Read Rds

```{r}
lm.mod.Optimal <- readRDS("lm.mod.Optimal.Dur.Rds")
```

### Summary

```{r}
summary(lm.mod.Optimal)
```

### Anova 

```{r}
print(anova(lm.mod.Optimal))
```

### Model's fit

```{r}
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")
```


### Evaluating Model's assumptions - normality of residuals

```{r}
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
```



### Pairwise Comparison


#### Debit

```{r}
if (file.exists(file = "emmDurationDebit.Rds")){
  emmDurationDebit <- readRDS("emmDurationDebit.Rds")
}else{
  emmDurationDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
  saveRDS(emmDurationDebit, "emmDurationDebit.Rds")
  emmDurationDebit <- readRDS("emmDurationDebit.Rds")
}
emmDurationDebit
```





#### V

```{r}
if (file.exists(file = "emmDurationV.Rds")){
  emmDurationV <- readRDS("emmDurationV.Rds")
}else{
  emmDurationV <- emmeans(lm.mod.Optimal, specs = pairwise ~ V)
  saveRDS(emmDurationDebit, "emmDurationV.Rds")
  emmDurationV <- readRDS("emmDurationV.Rds")
}
emmDurationV
```




#### Debit x V

```{r}
if (file.exists(file = "emmDurationDebitV.Rds")){
  emmDurationDebitV <- readRDS("emmDurationDebitV.Rds")
}else{
  emmDurationDebitV <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit:V)
  saveRDS(emmDurationDebitV, "emmDurationDebitV.Rds")
  emmDurationDebitV <- readRDS("emmDurationDebitV.Rds")
}
emmDurationDebitV
```



# Vratio

## Optimal model

### Read Rds


```{r}
lm.mod.Optimal <- readRDS("lm.mod.Optimal.Vratio.Rds")
```

### Summary

```{r}
summary(lm.mod.Optimal)
```

### Anova

```{r}
print(anova(lm.mod.Optimal))
```



### Model's fit

```{r}
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")
```


### Evaluating Model's assumptions - normality of residuals

```{r}
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
```



### Pairwise Comparison


#### Debit

```{r}
if (file.exists(file = "emmVratioDebit.Rds")){
  emmVratioDebit <- readRDS("emmVratioDebit.Rds")
}else{
  emmVratioDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
  saveRDS(emmVratioDebit, "emmVratioDebit.Rds")
  emmVratioDebit <- readRDS("emmVratioDebit.Rds")
}
emmVratioDebit
```



#### Timbre

```{r}
if (file.exists(file = "emmVratioTimbre.Rds")){
  emmVratioTimbre <- readRDS("emmVratioTimbre.Rds")
}else{
  emmVratioTimbre <- emmeans(lm.mod.Optimal, specs = pairwise ~  Timbre)
  saveRDS(emmVratioTimbre, "emmVratioTimbre.Rds")
  emmVratioTimbre <- readRDS("emmVratioTimbre.Rds")
}
emmVratioTimbre
```


#### Debit x Timbre

```{r}
if (file.exists(file = "emmVratioDebitTimbre.Rds")){
  emmVratioDebitTimbre <- readRDS("emmVratioDebitTimbre.Rds")
}else{
  emmVratioDebitTimbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit:Timbre)
  saveRDS(emmVratioDebitTimbre, "emmVratioDebitTimbre.Rds")
  emmVratioDebitTimbre <- readRDS("emmVratioDebitTimbre.Rds")
}
emmVratioDebitTimbre
```



# Word_V_ratio

## Optimal model

### Read Rds


```{r}
lm.mod.Optimal <- readRDS("lm.mod.Optimal.Word_V_ratio.Rds")
```

### Summary

```{r}
summary(lm.mod.Optimal)
```

### Anova

```{r}
print(anova(lm.mod.Optimal))
```



### Model's fit

```{r}
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")
```



### Evaluating Model's assumptions - normality of residuals

```{r}
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
```


### Pairwise Comparison



#### Debit

```{r}
if (file.exists(file = "emmWord_V_ratioDebit.Rds")){
  emmWord_V_ratioDebit <- readRDS("emmWord_V_ratioDebit.Rds")
}else{
  emmWord_V_ratioDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
  saveRDS(emmWord_V_ratioDebit, "emmWord_V_ratioDebit.Rds")
  emmWord_V_ratioDebit <- readRDS("emmWord_V_ratioDebit.Rds")
}
emmWord_V_ratioDebit
```





#### V

```{r}
if (file.exists(file = "emmWord_V_ratioV.Rds")){
  emmWord_V_ratioV <- readRDS("emmWord_V_ratioV.Rds")
}else{
  emmWord_V_ratioV <- emmeans(lm.mod.Optimal, specs = pairwise ~ V)
  saveRDS(emmWord_V_ratioV, "emmWord_V_ratioV.Rds")
  emmWord_V_ratioV <- readRDS("emmWord_V_ratioV.Rds")
}
emmWord_V_ratioV
```



#### Debit x V

```{r}
if (file.exists(file = "emmWord_V_ratioDebitV.Rds")){
  emmWord_V_ratioDebitV <- readRDS("emmWord_V_ratioDebitV.Rds")
}else{
  emmWord_V_ratioDebitV <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit:V)
  saveRDS(emmWord_V_ratioDebitV, "emmWord_V_ratioDebitV.Rds")
  emmWord_V_ratioDebitV <- readRDS("emmWord_V_ratioDebitV.Rds")
}
emmWord_V_ratioDebitV
```



# F1midnor

## Optimal model

### Read Rds


```{r}
lm.mod.Optimal <- readRDS("lm.mod.Optimal.F1midnor.Rds")
```

### Summary

```{r}
summary(lm.mod.Optimal)
```

### Anova

```{r}
print(anova(lm.mod.Optimal))
```



### Model's fit

```{r}
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")
```


### Evaluating Model's assumptions - normality of residuals

```{r}
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
```



### Pairwise Comparison


#### Debit

```{r}
if (file.exists(file = "emmF1midnorDebit.Rds")){
  emmF1midnorDebit <- readRDS("emmF1midnorDebit.Rds")
}else{
  emmF1midnorDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
  saveRDS(emmF1midnorDebit, "emmF1midnorDebit.Rds")
  emmF1midnorDebit <- readRDS("emmF1midnorDebit.Rds")
}
emmF1midnorDebit
```



#### V

```{r}
if (file.exists(file = "emmF1midnorV.Rds")){
  emmF1midnorV <- readRDS("emmF1midnorV.Rds")
}else{
  emmF1midnorV <- emmeans(lm.mod.Optimal, specs = pairwise ~ V)
  saveRDS(emmF1midnorV, "emmF1midnorV.Rds")
  emmF1midnorV <- readRDS("emmF1midnorV.Rds")
}
emmF1midnorV
```



#### Debit x V

```{r}
if (file.exists(file = "emmF1midnorDebitV.Rds")){
  emmF1midnorDebitV <- readRDS("emmF1midnorDebitV.Rds")
}else{
  emmF1midnorDebitV <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit:V)
  saveRDS(emmF1midnorDebitV, "emmF1midnorDebitV.Rds")
  emmF1midnorDebitV <- readRDS("emmF1midnorDebitV.Rds")
}
emmF1midnorDebitV
```


# F2midnor

## Optimal model

### Read Rds


```{r}
lm.mod.Optimal <- readRDS("lm.mod.Optimal.F2midnor.Rds")
```

### Summary

```{r}
summary(lm.mod.Optimal)
```

### Anova

```{r}
print(anova(lm.mod.Optimal))
```



### Model's fit

```{r}
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")
```



### Evaluating Model's assumptions - normality of residuals

```{r}
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
```



### Pairwise Comparison


#### Debit

```{r}
if (file.exists(file = "emmF2midnorDebit.Rds")){
  emmF2midnorDebit <- readRDS("emmF2midnorDebit.Rds")
}else{
  emmF2midnorDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
  saveRDS(emmF2midnorDebit, "emmF2midnorDebit.Rds")
  emmF2midnorDebit <- readRDS("emmF2midnorDebit.Rds")
}
emmF2midnorDebit
```



#### V

```{r}
if (file.exists(file = "emmF2midnorV.Rds")){
  emmF2midnorV <- readRDS("emmF2midnorV.Rds")
}else{
  emmF2midnorV <- emmeans(lm.mod.Optimal, specs = pairwise ~ V)
  saveRDS(emmF2midnorV, "emmF2midnorV.Rds")
  emmF2midnorV <- readRDS("emmF2midnorV.Rds")
}
emmF2midnorV
```



#### Debit x V

```{r}
if (file.exists(file = "emmF2midnorDebitV.Rds")){
  emmF2midnorDebitV <- readRDS("emmF2midnorDebitV.Rds")
}else{
  emmF2midnorDebitV <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit:V)
  saveRDS(emmF2midnorDebitV, "emmF2midnorDebitV.Rds")
  emmF2midnorDebitV <- readRDS("emmF2midnorDebitV.Rds")
}
emmF2midnorDebitV
```


# F1midnor - Subset 1 - Timbre

## Optimal model

### Read Rds


```{r}
lm.mod.Optimal <- readRDS("lm.mod.Optimal.F1midnorTimbreSub.Rds")
```

### Summary

```{r}
summary(lm.mod.Optimal)
```

### Anova

```{r}
print(anova(lm.mod.Optimal))
```



### Model's fit

```{r}
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")
```


### Evaluating Model's assumptions - normality of residuals

```{r}
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
```


### Pairwise Comparison


#### Debit

```{r}
if (file.exists(file = "emmF1Sub1Debit.Rds")){
  emmF1Sub1Debit <- readRDS("emmF1Sub1Debit.Rds")
}else{
  emmF1Sub1Debit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
  saveRDS(emmF1Sub1Debit, "emmF1Sub1Debit.Rds")
  emmF1Sub1Debit <- readRDS("emmF1Sub1Debit.Rds")
}
emmF1Sub1Debit
```


#### Timbre

```{r}
if (file.exists(file = "emmF1Sub1Timbre.Rds")){
  emmF1Sub1Timbre <- readRDS("emmF1Sub1Timbre.Rds")
}else{
  emmF1Sub1Timbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre)
  saveRDS(emmF1Sub1Timbre, "emmF1Sub1Timbre.Rds")
  emmF1Sub1Timbre <- readRDS("emmF1Sub1Timbre.Rds")
}
emmF1Sub1Timbre
```


#### Longueur

```{r}
if (file.exists(file = "emmF1Sub1Longueur.Rds")){
  emmF1Sub1Longueur <- readRDS("emmF1Sub1Longueur.Rds")
}else{
  emmF1Sub1Longueur <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur)
  saveRDS(emmF1Sub1Longueur, "emmF1Sub1Longueur.Rds")
  emmF1Sub1Longueur <- readRDS("emmF1Sub1Longueur.Rds")
}
emmF1Sub1Longueur
```



#### Longueur x Timbre

```{r}
if (file.exists(file = "emmF1Sub1LongueurTimbre.Rds")){
  emmF1Sub1LongueurTimbre <- readRDS("emmF1Sub1LongueurTimbre.Rds")
}else{
  emmF1Sub1LongueurTimbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Timbre)
  saveRDS(emmF1Sub1LongueurTimbre, "emmF1Sub1LongueurTimbre.Rds")
  emmF1Sub1LongueurTimbre <- readRDS("emmF1Sub1LongueurTimbre.Rds")
}
emmF1Sub1LongueurTimbre
```


#### Longueur x Debit

```{r}
if (file.exists(file = "emmF1Sub1LongueurDebit.Rds")){
  emmF1Sub1LongueurDebit <- readRDS("emmF1Sub1LongueurDebit.Rds")
}else{
  emmF1Sub1LongueurDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Debit)
  saveRDS(emmF1Sub1LongueurDebit, "emmF1Sub1LongueurDebit.Rds")
  emmF1Sub1LongueurDebit <- readRDS("emmF1Sub1LongueurDebit.Rds")
}
emmF1Sub1LongueurDebit
```


#### Timbre x Debit

```{r}
if (file.exists(file = "emmF1Sub1TimbreDebit.Rds")){
  emmF1Sub1TimbreDebit <- readRDS("emmF1Sub1TimbreDebit.Rds")
}else{
  emmF1Sub1TimbreDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre:Debit)
  saveRDS(emmF1Sub1TimbreDebit, "emmF1Sub1TimbreDebit.Rds")
  emmF1Sub1TimbreDebit <- readRDS("emmF1Sub1TimbreDebit.Rds")
}
emmF1Sub1TimbreDebit
```




#### Longueur x Timbre x Debit

```{r}
if (file.exists(file = "emmF1Sub1LongueurTimbreDebit.Rds")){
  emmF1Sub1LongueurTimbreDebit <- readRDS("emmF1Sub1LongueurTimbreDebit.Rds")
}else{
  emmF1Sub1LongueurTimbreDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Timbre:Debit)
  saveRDS(emmF1Sub1LongueurTimbreDebit, "emmF1Sub1LongueurTimbreDebit.Rds")
  emmF1Sub1LongueurTimbreDebit <- readRDS("emmF1Sub1LongueurTimbreDebit.Rds")
}
emmF1Sub1LongueurTimbreDebit
```





# F2midnor - Subset 1 - Timbre

## Optimal model

### Read Rds


```{r}
lm.mod.Optimal <- readRDS("lm.mod.Optimal.F2midnorTimbreSub.Rds")
```

### Summary

```{r}
summary(lm.mod.Optimal)
```

### Anova

```{r}
print(anova(lm.mod.Optimal))
```



### Model's fit

```{r}
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")
```



### Evaluating Model's assumptions - normality of residuals

```{r}
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
```



### Pairwise Comparison

#### Debit

```{r}
if (file.exists(file = "emmF2Sub1Debit.Rds")){
  emmF2Sub1Debit <- readRDS("emmF2Sub1Debit.Rds")
}else{
  emmF2Sub1Debit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
  saveRDS(emmF2Sub1Debit, "emmF2Sub1Debit.Rds")
  emmF2Sub1Debit <- readRDS("emmF2Sub1Debit.Rds")
}
emmF2Sub1Debit
```



#### Timbre

```{r}
if (file.exists(file = "emmF2Sub1Timbre.Rds")){
  emmF2Sub1Timbre <- readRDS("emmF2Sub1Timbre.Rds")
}else{
  emmF2Sub1Timbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre)
  saveRDS(emmF2Sub1Timbre, "emmF2Sub1Timbre.Rds")
  emmF2Sub1Timbre <- readRDS("emmF2Sub1Timbre.Rds")
}
emmF2Sub1Timbre
```



#### Longueur

```{r}
if (file.exists(file = "emmF2Sub1Longueur.Rds")){
  emmF2Sub1Longueur <- readRDS("emmF2Sub1Longueur.Rds")
}else{
  emmF2Sub1Longueur <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur)
  saveRDS(emmF2Sub1Longueur, "emmF2Sub1Longueur.Rds")
  emmF2Sub1Longueur <- readRDS("emmF2Sub1Longueur.Rds")
}
emmF2Sub1Longueur
```



#### Longueur x Timbre

```{r}
if (file.exists(file = "emmF2Sub1LongueurTimbre.Rds")){
  emmF2Sub1LongueurTimbre <- readRDS("emmF2Sub1LongueurTimbre.Rds")
}else{
  emmF2Sub1LongueurTimbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Timbre)
  saveRDS(emmF2Sub1LongueurTimbre, "emmF2Sub1LongueurTimbre.Rds")
  emmF2Sub1LongueurTimbre <- readRDS("emmF2Sub1LongueurTimbre.Rds")
}
emmF2Sub1LongueurTimbre
```



#### Longueur x Debit

```{r}
if (file.exists(file = "emmF2Sub1LongueurDebit.Rds")){
  emmF2Sub1LongueurDebit <- readRDS("emmF2Sub1LongueurDebit.Rds")
}else{
  emmF2Sub1LongueurDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Debit)
  saveRDS(emmF2Sub1LongueurDebit, "emmF2Sub1LongueurDebit.Rds")
  emmF2Sub1LongueurDebit <- readRDS("emmF2Sub1LongueurDebit.Rds")
}
emmF2Sub1LongueurDebit
```



#### Timbre x Debit

```{r}
if (file.exists(file = "emmF2Sub1TimbreDebit.Rds")){
  emmF2Sub1TimbreDebit <- readRDS("emmF2Sub1TimbreDebit.Rds")
}else{
  emmF2Sub1TimbreDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre:Debit)
  saveRDS(emmF2Sub1TimbreDebit, "emmF2Sub1TimbreDebit.Rds")
  emmF2Sub1TimbreDebit <- readRDS("emmF2Sub1TimbreDebit.Rds")
}
emmF2Sub1TimbreDebit
```



#### Longueur x Timbre x Debit

```{r}
if (file.exists(file = "emmF2Sub1LongueurTimbreDebit.Rds")){
  emmF2Sub1LongueurTimbreDebit <- readRDS("emmF2Sub1LongueurTimbreDebit.Rds")
}else{
  emmF2Sub1LongueurTimbreDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Timbre:Debit)
  saveRDS(emmF2Sub1LongueurTimbreDebit, "emmF2Sub1LongueurTimbreDebit.Rds")
  emmF2Sub1LongueurTimbreDebit <- readRDS("emmF2Sub1LongueurTimbreDebit.Rds")
}
emmF2Sub1LongueurTimbreDebit
```




# F1midnor - Subset 2 - Timbre

## Optimal model

### Read Rds


```{r}
lm.mod.Optimal <- readRDS("lm.mod.Optimal.F1midnorTimbreSub2.Rds")
```

### Summary

```{r}
summary(lm.mod.Optimal)
```

### Anova

```{r}
print(anova(lm.mod.Optimal))
```



### Model's fit

```{r}
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")
```



### Evaluating Model's assumptions - normality of residuals

```{r}
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
```



### Pairwise Comparison

#### Debit

```{r}
if (file.exists(file = "emmF1Sub2Debit.Rds")){
  emmF1Sub2Debit <- readRDS("emmF1Sub2Debit.Rds")
}else{
  emmF1Sub2Debit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
  saveRDS(emmF1Sub2Debit, "emmF1Sub2Debit.Rds")
  emmF1Sub2Debit <- readRDS("emmF1Sub2Debit.Rds")
}
emmF1Sub2Debit
```


#### Timbre

```{r}
if (file.exists(file = "emmF1Sub2Timbre.Rds")){
  emmF1Sub2Timbre <- readRDS("emmF1Sub2Timbre.Rds")
}else{
  emmF1Sub2Timbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre)
  saveRDS(emmF1Sub2Timbre, "emmF1Sub2Timbre.Rds")
  emmF1Sub2Timbre <- readRDS("emmF1Sub2Timbre.Rds")
}
emmF1Sub2Timbre
```



#### Longueur

```{r}
if (file.exists(file = "emmF1Sub2Longueur.Rds")){
  emmF1Sub2Longueur <- readRDS("emmF1Sub2Longueur.Rds")
}else{
  emmF1Sub2Longueur <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur)
  saveRDS(emmF1Sub2Longueur, "emmF1Sub2Longueur.Rds")
  emmF1Sub2Longueur <- readRDS("emmF1Sub2Longueur.Rds")
}
emmF1Sub2Longueur
```



#### Longueur x Timbre

```{r}
if (file.exists(file = "emmF1Sub2LongueurTimbre.Rds")){
  emmF1Sub2LongueurTimbre <- readRDS("emmF1Sub2LongueurTimbre.Rds")
}else{
  emmF1Sub2LongueurTimbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Timbre)
  saveRDS(emmF1Sub2LongueurTimbre, "emmF1Sub2LongueurTimbre.Rds")
  emmF1Sub2LongueurTimbre <- readRDS("emmF1Sub2LongueurTimbre.Rds")
}
emmF1Sub2LongueurTimbre
```



#### Longueur x Debit

```{r}
if (file.exists(file = "emmF1Sub2LongueurDebit.Rds")){
  emmF1Sub2LongueurDebit <- readRDS("emmF1Sub2LongueurDebit.Rds")
}else{
  emmF1Sub2LongueurDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Debit)
  saveRDS(emmF1Sub2LongueurDebit, "emmF1Sub2LongueurDebit.Rds")
  emmF1Sub2LongueurDebit <- readRDS("emmF1Sub2LongueurDebit.Rds")
}
emmF1Sub2LongueurDebit
```



#### Timbre x Debit

```{r}
if (file.exists(file = "emmF1Sub2TimbreDebit.Rds")){
  emmF1Sub2TimbreDebit <- readRDS("emmF1Sub2TimbreDebit.Rds")
}else{
  emmF1Sub2TimbreDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre:Debit)
  saveRDS(emmF1Sub2TimbreDebit, "emmF1Sub2TimbreDebit.Rds")
  emmF1Sub2TimbreDebit <- readRDS("emmF1Sub2TimbreDebit.Rds")
}
emmF1Sub2TimbreDebit
```



#### Longueur x Timbre x Debit

```{r}
if (file.exists(file = "emmF1Sub2LongueurTimbreDebit.Rds")){
  emmF1Sub2LongueurTimbreDebit <- readRDS("emmF1Sub2LongueurTimbreDebit.Rds")
}else{
  emmF1Sub2LongueurTimbreDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Timbre:Debit)
  saveRDS(emmF1Sub2LongueurTimbreDebit, "emmF1Sub2LongueurTimbreDebit.Rds")
  emmF1Sub2LongueurTimbreDebit <- readRDS("emmF1Sub2LongueurTimbreDebit.Rds")
}
emmF1Sub2LongueurTimbreDebit
```



# F2midnor - Subset 2 - Timbre

## Optimal model

### Read Rds


```{r}
lm.mod.Optimal <- readRDS("lm.mod.Optimal.F2midnorTimbreSub2.Rds")
```

### Summary

```{r}
summary(lm.mod.Optimal)
```

### Anova

```{r}
print(anova(lm.mod.Optimal))
```



### Model's fit

```{r}
tab_model(lm.mod.Optimal,file="test.html")
htmltools::includeHTML("test.html")
```


### Evaluating Model's assumptions - normality of residuals

```{r}
qqnorm(residuals(lm.mod.Optimal))
qqline(residuals(lm.mod.Optimal))
```


### Pairwise Comparison

#### Debit

```{r}
if (file.exists(file = "emmF2Sub2Debit.Rds")){
  emmF2Sub2Debit <- readRDS("emmF2Sub2Debit.Rds")
}else{
  emmF2Sub2Debit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Debit)
  saveRDS(emmF2Sub2Debit, "emmF2Sub2Debit.Rds")
  emmF2Sub2Debit <- readRDS("emmF2Sub2Debit.Rds")
}
emmF2Sub2Debit
```


#### Timbre

```{r}
if (file.exists(file = "emmF2Sub2Timbre.Rds")){
  emmF2Sub2Timbre <- readRDS("emmF2Sub2Timbre.Rds")
}else{
  emmF2Sub2Timbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre)
  saveRDS(emmF2Sub2Timbre, "emmF2Sub2Timbre.Rds")
  emmF2Sub2Timbre <- readRDS("emmF2Sub2Timbre.Rds")
}
emmF2Sub2Timbre
```


#### Longueur

```{r}
if (file.exists(file = "emmF2Sub2Longueur.Rds")){
  emmF2Sub2Longueur <- readRDS("emmF2Sub2Longueur.Rds")
}else{
  emmF2Sub2Longueur <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur)
  saveRDS(emmF2Sub2Longueur, "emmF2Sub2Longueur.Rds")
  emmF2Sub2Longueur <- readRDS("emmF2Sub2Longueur.Rds")
}
emmF2Sub2Longueur
```


#### Longueur x Timbre

```{r}
if (file.exists(file = "emmF2Sub2LongueurTimbre.Rds")){
  emmF2Sub2LongueurTimbre <- readRDS("emmF2Sub2LongueurTimbre.Rds")
}else{
  emmF2Sub2LongueurTimbre <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Timbre)
  saveRDS(emmF2Sub2LongueurTimbre, "emmF2Sub2LongueurTimbre.Rds")
  emmF2Sub2LongueurTimbre <- readRDS("emmF2Sub2LongueurTimbre.Rds")
}
emmF2Sub2LongueurTimbre
```



#### Longueur x Debit

```{r}
if (file.exists(file = "emmF2Sub2LongueurDebit.Rds")){
  emmF2Sub2LongueurDebit <- readRDS("emmF2Sub2LongueurDebit.Rds")
}else{
  emmF2Sub2LongueurDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Debit)
  saveRDS(emmF2Sub2LongueurDebit, "emmF2Sub2LongueurDebit.Rds")
  emmF2Sub2LongueurDebit <- readRDS("emmF2Sub2LongueurDebit.Rds")
}
emmF2Sub2LongueurDebit
```



#### Timbre x Debit

```{r}
if (file.exists(file = "emmF2Sub2TimbreDebit.Rds")){
  emmF2Sub2TimbreDebit <- readRDS("emmF2Sub2TimbreDebit.Rds")
}else{
  emmF2Sub2TimbreDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Timbre:Debit)
  saveRDS(emmF2Sub2TimbreDebit, "emmF2Sub2TimbreDebit.Rds")
  emmF2Sub2TimbreDebit <- readRDS("emmF2Sub2TimbreDebit.Rds")
}
emmF2Sub2TimbreDebit
```



#### Longueur x Timbre x Debit

```{r}
if (file.exists(file = "emmF2Sub2LongueurTimbreDebit.Rds")){
  emmF2Sub2LongueurTimbreDebit <- readRDS("emmF2Sub2LongueurTimbreDebit.Rds")
}else{
  emmF2Sub2LongueurTimbreDebit <- emmeans(lm.mod.Optimal, specs = pairwise ~ Longueur:Timbre:Debit)
  saveRDS(emmF2Sub2LongueurTimbreDebit, "emmF2Sub2LongueurTimbreDebit.Rds")
  emmF2Sub2LongueurTimbreDebit <- readRDS("emmF2Sub2LongueurTimbreDebit.Rds")
}
emmF2Sub2LongueurTimbreDebit
```



# session info

```{r warning=FALSE, message=FALSE, error=FALSE}
sessionInfo()
```
