4.4 Generalised Linear Mixed-effects Models

Here we will look at an example when the outcome is binary. This simulated data is structured as follows. We asked one participant to listen to 165 sentences, and to judge whether these are “grammatical” or “ungrammatical”. There were 105 sentences that were “grammatical” and 60 “ungrammatical”. This fictitious example can apply in any other situation. Let’s think Geography: 165 lands: 105 “flat” and 60 “non-flat”, etc. This applies to any case where you need to “categorise” the outcome into two groups.

4.4.1 GLMM - Categorical predictors

Let’s run a first GLMM (Generalised Linear Model).

4.4.1.1 Simulating a new dataset

grammatical2 <- as.data.frame(
  cbind("participant" = c("participant" = rep("p1", 165), rep("p2", 165)),
    "grammaticality" = c("grammatical" = rep("grammatical", 105), 
 "ungrammatical" = rep("ungrammatical", 60),
 "grammatical" = rep("grammatical", 105), 
 "ungrammatical" = rep("ungrammatical", 60)),
        "response" = c("yes" = rep("yes", 100), 
                       "no" = rep("no", 5),
                       "yes" = rep("yes", 10),
                       "no" = rep("no", 50),
    "yes" = rep("yes", 90), 
                       "no" = rep("no", 15),
                       "yes" = rep("yes", 30),
                       "no" = rep("no", 30))),
  row.names = FALSE)
grammatical2 %>% 
  head(10)
##    participant grammaticality response
## 1           p1    grammatical      yes
## 2           p1    grammatical      yes
## 3           p1    grammatical      yes
## 4           p1    grammatical      yes
## 5           p1    grammatical      yes
## 6           p1    grammatical      yes
## 7           p1    grammatical      yes
## 8           p1    grammatical      yes
## 9           p1    grammatical      yes
## 10          p1    grammatical      yes

4.4.1.2 Manipulations and a table

grammatical2 <- grammatical2 %>% 
  mutate(response = factor(response, levels = c("no", "yes")),
         grammaticality = factor(grammaticality, levels = c("ungrammatical", "grammatical")))

grammatical2 %>% 
  select(response, grammaticality) %>% 
  group_by(response, grammaticality) %>% 
  table()
##         grammaticality
## response ungrammatical grammatical
##      no             80          20
##      yes            40         190

4.4.1.3 Model estimation and results

4.4.1.3.1 Random Intercepts

The results below show the logodds for our model.

mdl.glmm <- grammatical2 %>% 
  glmer(response ~ grammaticality + (1|participant), data = ., family = binomial)
summary(mdl.glmm)
## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: response ~ grammaticality + (1 | participant)
##    Data: .
## 
##       AIC       BIC    logLik -2*log(L)  df.resid 
##     290.8     302.2    -142.4     284.8       327 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.1221 -0.6985  0.3203  0.3280  1.4317 
## 
## Random effects:
##  Groups      Name        Variance Std.Dev.
##  participant (Intercept) 0.005276 0.07264 
## Number of obs: 330, groups:  participant, 2
## 
## Fixed effects:
##                           Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                -0.6940     0.2006  -3.459 0.000542 ***
## grammaticalitygrammatical   2.9475     0.3060   9.632  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## grmmtcltygr -0.615
4.4.1.3.2 Random Slopes

The results below show the logodds for our model.

mdl.glmmSlope <- grammatical2 %>% 
  glmer(response ~ grammaticality + (grammaticality|participant), data = ., family = binomial)
summary(mdl.glmmSlope)
## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: response ~ grammaticality + (grammaticality | participant)
##    Data: .
## 
##       AIC       BIC    logLik -2*log(L)  df.resid 
##     280.3     299.2    -135.1     270.3       325 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.2750 -0.4702  0.2339  0.3998  2.1269 
## 
## Random effects:
##  Groups      Name                      Variance Std.Dev. Corr 
##  participant (Intercept)               0.5992   0.774         
##              grammaticalitygrammatical 1.8089   1.345    -1.00
## Number of obs: 330, groups:  participant, 2
## 
## Fixed effects:
##                           Estimate Std. Error z value Pr(>|z|)   
## (Intercept)                -0.7951     0.5875  -1.353  0.17593   
## grammaticalitygrammatical   3.1739     1.0099   3.143  0.00167 **
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## grmmtcltygr -0.955
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')
4.4.1.3.3 Random Slopes decorrelated

The results below show the logodds for our model.

mdl.glmmSlopeDec <- grammatical2 %>% 
  glmer(response ~ grammaticality + (grammaticality||participant), data = ., family = binomial)
summary(mdl.glmmSlopeDec)
## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: response ~ grammaticality + (grammaticality || participant)
##    Data: .
## 
##       AIC       BIC    logLik -2*log(L)  df.resid 
##     282.3     305.0    -135.1     270.3       324 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.2749 -0.4702  0.2339  0.3998  2.1269 
## 
## Random effects:
##  Groups        Name                        Variance  Std.Dev.  Corr 
##  participant   (Intercept)                 1.189e-10 1.091e-05      
##  participant.1 grammaticalityungrammatical 5.992e-01 7.741e-01      
##                grammaticalitygrammatical   3.259e-01 5.709e-01 -1.00
## Number of obs: 330, groups:  participant, 2
## 
## Fixed effects:
##                           Estimate Std. Error z value Pr(>|z|)   
## (Intercept)                -0.7951     0.5874  -1.353  0.17591   
## grammaticalitygrammatical   3.1738     1.0098   3.143  0.00167 **
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## grmmtcltygr -0.955
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

4.4.1.4 Model comparison

anova(mdl.glmm, mdl.glmmSlope)
## Data: .
## Models:
## mdl.glmm: response ~ grammaticality + (1 | participant)
## mdl.glmmSlope: response ~ grammaticality + (grammaticality | participant)
##               npar    AIC    BIC  logLik -2*log(L)  Chisq Df Pr(>Chisq)    
## mdl.glmm         3 290.84 302.24 -142.42    284.84                         
## mdl.glmmSlope    5 280.25 299.25 -135.13    270.25 14.584  2  0.0006811 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(mdl.glmmSlope, mdl.glmmSlopeDec)
## Data: .
## Models:
## mdl.glmmSlope: response ~ grammaticality + (grammaticality | participant)
## mdl.glmmSlopeDec: response ~ grammaticality + (grammaticality || participant)
##                  npar    AIC    BIC  logLik -2*log(L) Chisq Df Pr(>Chisq)
## mdl.glmmSlope       5 280.25 299.25 -135.13    270.25                    
## mdl.glmmSlopeDec    6 282.25 305.05 -135.13    270.25     0  1          1

The model comparisons show that the model with both random intercepts and random slopes is improving the model fit. The Is.Singular message tells us that there is a chance there is a complete separation in the model.

4.4.1.5 Getting results

4.4.1.5.1 Model’s fit
print(tab_model(mdl.glmmSlope, file = paste0("outputs/mdl.glmmSlope.html")))
htmltools::includeHTML("outputs/mdl.glmmSlope.html")
  response
Predictors Odds Ratios CI p
(Intercept) 0.45 0.14 – 1.43 0.176
grammaticality
[grammatical]		 23.90 3.30 – 172.99 0.002
Random Effects
σ2 3.29
τ00 participant 0.60
τ11 participant.grammaticalitygrammatical 1.81
ρ01 participant -1.00
N participant 2
Observations 330
Marginal R2 / Conditional R2 0.415 / NA
4.4.1.5.2 Fixed effects
fixef(mdl.glmmSlope)
##               (Intercept) grammaticalitygrammatical 
##                -0.7950773                 3.1738527
fixef(mdl.glmmSlope)[1]
## (Intercept) 
##  -0.7950773
fixef(mdl.glmmSlope)[2]
## grammaticalitygrammatical 
##                  3.173853
4.4.1.5.3 Random effects
coef(mdl.glmmSlope)$`participant`[1]
##    (Intercept)
## p1 -1.50933642
## p2 -0.05609396
coef(mdl.glmmSlope)$`participant`[2]
##    grammaticalitygrammatical
## p1                  4.414908
## p2                  1.889839
4.4.1.5.4 Logodds to Odd ratios

Logodds can be modified to talk about the odds of an event.

exp(fixef(mdl.glmmSlope)[1])
## (Intercept) 
##   0.4515463
exp(fixef(mdl.glmmSlope)[1] + fixef(mdl.glmmSlope)[2])
## (Intercept) 
##    10.79168
4.4.1.5.5 LogOdds to proportions

If you want to talk about the percentage “accuracy” of our model, then we can transform our loggodds into proportions. This shows that the proportion of “grammatical” receiving a “yes” response increases by 99% (or 95% based on our “true” coefficients).

plogis(fixef(mdl.glmmSlope)[1])
## (Intercept) 
##   0.3110795
plogis(fixef(mdl.glmmSlope)[1] + fixef(mdl.glmmSlope)[2])
## (Intercept) 
##   0.9151944
4.4.1.5.6 Plotting
grammatical2 <- grammatical2 %>% 
  mutate(prob = predict(mdl.glmmSlope, type = "response"))
grammatical2 %>% 
  ggplot(aes(x = as.numeric(grammaticality), y = prob)) +
  geom_point() +
  geom_smooth(method = "glm", 
    method.args = list(family = "binomial"), 
    se = T) + theme_bw(base_size = 20)+
    labs(y = "Probability", x = "")+
    coord_cartesian(ylim = c(0,1))+
    scale_x_discrete(limits = c("Ungrammatical", "Grammatical")) +
  facet_grid(~ participant, margins = TRUE, scales = "free")

4.4.2 GLMM - Numeric predictors

In this example, we will run a GLM model using a similar technique to that used in Al-Tamimi (2017) and Baumann & Winter (2018). We use the package LanguageR and the dataset English.

In the model above, we used the equation as lm(RTlexdec ~ AgeSubject). We were interested in examining the impact of age of subject on reaction time in a lexical decision task. In this section, we are interested in understanding how reaction time allows to differentiate the participants based on their age. We use AgeSubject as our outcome and RTlexdec as our predictor using the equation glm(AgeSubject ~ RTlexdec). We usually can use RTlexdec as is, but due to a possible quasi separation and the fact that we may want to compare coefficients using multiple acoustic metrics, we will z-score our predictor. We run below two models, with and without z-scoring

For the glm model, we need to specify family = "binomial".

4.4.2.1 Without z-scoring of predictor

4.4.2.1.1 Model estimation

In the english dataset, we have a random factor: “Word”. We include it here.

4.4.2.1.1.1 Random Intercepts
english2 <- english %>% 
  mutate(AgeSubject = factor(AgeSubject, levels = c("young", "old")))

mdl.glmm2 <- english2 %>% 
  glmer(AgeSubject ~ RTlexdec + (1|Word), data = ., family = "binomial")
summary(mdl.glmm2)
## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: AgeSubject ~ RTlexdec + (1 | Word)
##    Data: .
## 
##       AIC       BIC    logLik -2*log(L)  df.resid 
##    3151.8    3171.1   -1572.9    3145.8      4565 
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -26.3468  -0.3058  -0.0166   0.3893   4.0750 
## 
## Random effects:
##  Groups Name        Variance  Std.Dev. 
##  Word   (Intercept) 1.666e-15 4.082e-08
## Number of obs: 4568, groups:  Word, 2197
## 
## Fixed effects:
##              Estimate Std. Error z value Pr(>|z|)    
## (Intercept) -128.6308     3.7928  -33.91   <2e-16 ***
## RTlexdec      19.6497     0.5792   33.93   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##          (Intr)
## RTlexdec -1.000
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')
4.4.2.1.1.2 Random Slopes
mdl.glmmSlope2 <- english2 %>% 
  glmer(AgeSubject ~ RTlexdec + (RTlexdec|Word), data = ., family = "binomial")
summary(mdl.glmmSlope2)
## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: AgeSubject ~ RTlexdec + (RTlexdec | Word)
##    Data: .
## 
##       AIC       BIC    logLik -2*log(L)  df.resid 
##    3075.6    3107.7   -1532.8    3065.6      4563 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.3923 -0.2133 -0.0024  0.2512  5.8061 
## 
## Random effects:
##  Groups Name        Variance Std.Dev. Corr 
##  Word   (Intercept) 3325.68  57.669        
##         RTlexdec      80.01   8.945   -1.00
## Number of obs: 4568, groups:  Word, 2197
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept) -179.980     10.570  -17.03   <2e-16 ***
## RTlexdec      27.535      1.621   16.99   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##          (Intr)
## RTlexdec -1.000
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

4.4.2.2 Model comparison

anova(mdl.glmm2, mdl.glmmSlope2)
## Data: .
## Models:
## mdl.glmm2: AgeSubject ~ RTlexdec + (1 | Word)
## mdl.glmmSlope2: AgeSubject ~ RTlexdec + (RTlexdec | Word)
##                npar    AIC    BIC  logLik -2*log(L)  Chisq Df Pr(>Chisq)    
## mdl.glmm2         3 3151.8 3171.1 -1572.9    3145.8                         
## mdl.glmmSlope2    5 3075.6 3107.7 -1532.8    3065.6 80.262  2  < 2.2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

The model comparisons show that the model with both random intercepts and random slopes is improving the model fit. The Is.Singular message tells us that there is a chance there is a complete separation in the model.

4.4.2.3 Gettings results

4.4.2.3.1 Model’s fit
print(tab_model(mdl.glmmSlope2, file = paste0("outputs/mdl.glmmSlope2.html")))
htmltools::includeHTML("outputs/mdl.glmmSlope2.html")
  Age Subject
Predictors Odds Ratios CI p
(Intercept) 0.00 0.00 – 0.00 <0.001
RTlexdec 908896482053.62 37919398480.78 – 21785493657243.48 <0.001
Random Effects
σ2 3.29
τ00 Word 3325.68
τ11 Word.RTlexdec 80.01
ρ01 Word -1.00
N Word 2197
Observations 4568
Marginal R2 / Conditional R2 0.850 / NA
4.4.2.3.2 Fixed effects
fixef(mdl.glmmSlope2)
## (Intercept)    RTlexdec 
##   -179.9800     27.5355
fixef(mdl.glmmSlope2)[1]
## (Intercept) 
##     -179.98
fixef(mdl.glmmSlope2)[2]
## RTlexdec 
##  27.5355
4.4.2.3.3 Random effects
coef(mdl.glmmSlope2)$`Word`[1]
##         (Intercept)
## ace      -183.90595
## act      -194.45240
## add      -188.40335
## age      -187.46412
## aid      -181.03498
## aide     -158.07462
## ail      -123.55216
## aim      -190.10412
## air      -200.14398
## aisle    -174.27289
## ale      -180.30492
## angst    -165.78721
## ant      -191.28908
## ape      -187.24207
## arc      -126.77946
## arch     -184.42682
## are      -182.46610
## arm      -217.59079
## art      -189.04805
## ash      -182.98222
## ask      -196.70369
## ass      -183.23601
## axe      -181.94945
## babe     -188.70261
## back     -195.42041
## badge    -183.01597
## bag      -199.54316
## bail     -168.15031
## bait     -190.95481
## bale     -121.78656
## ball     -187.58023
## ban      -150.32498
## band     -182.62445
## bang     -196.73785
## bank     -193.70563
## bar      -200.25190
## bard     -117.84681
## barge    -141.73049
## bark     -196.61580
## barn     -200.39052
## base     -192.56567
## bash     -180.80003
## bat      -199.64368
## batch    -189.94743
## bath     -193.82414
## bay      -189.46414
## beach    -185.19026
## bead     -168.42385
## beak     -133.17529
## beam     -180.59026
## bean     -182.07826
## bear     -213.07938
## beard    -196.58614
## beast    -181.77338
## beat     -189.71518
## beau     -154.41188
## beck      -91.17831
## bed      -188.54685
## bee      -198.73656
## beech    -126.52901
## beef     -211.38711
## beep     -190.21974
## beer     -198.75872
## beet     -173.58987
## beg      -200.94585
## belch    -155.10295
## bell     -195.09610
## belt     -187.26490
## bench    -200.14866
## bend     -198.78981
## berth    -157.88190
## bet      -201.03316
## bib      -167.68856
## bid      -201.07979
## bide      -89.33356
## bile     -166.74648
## bilge     -99.16026
## bill     -189.36738
## bin      -159.06194
## bind     -150.49850
## binge    -173.11797
## birch    -158.44405
## bird     -192.34649
## bit      -197.94421
## bitch    -186.76029
## bite     -200.32909
## blade    -194.37975
## blame    -188.93561
## blanch   -125.38813
## blast    -186.24329
## blaze    -194.63242
## bleat    -157.35751
## bleed    -185.28389
## bleep    -132.46422
## blend    -191.20351
## bless    -186.61602
## blight   -165.14488
## blink    -180.49656
## bliss    -198.34654
## blitz    -171.79728
## bloat    -177.86002
## blob     -171.53998
## block    -192.29144
## bloke    -115.79912
## blood    -189.62165
## bloom    -196.43344
## blot     -184.07466
## blouse   -172.69884
## blow     -194.93021
## bluff    -194.80368
## blur     -180.40576
## blush    -200.80529
## boar     -143.98104
## board    -193.40373
## boast    -190.16579
## boat     -200.62994
## bob      -143.95567
## bog      -163.01172
## boil     -187.41756
## bolt     -201.12837
## bomb     -187.14946
## bond     -193.50090
## bone     -199.94607
## boo      -183.41255
## book     -182.65019
## boom     -182.31856
## boon     -136.22258
## boost    -180.50189
## boot     -191.30092
## booth    -197.22091
## booze    -185.34295
## bore     -184.45601
## boss     -193.25145
## bough     -96.02205
## bounce   -200.88344
## bound    -185.03389
## bout     -140.82693
## bowl     -185.48562
## box      -181.85503
## boy      -197.94152
## brace    -188.09040
## brad      -93.89472
## brag     -188.95758
## braid    -179.85518
## brain    -195.29234
## brake    -200.99393
## bran      -84.22163
## branch   -183.72879
## brand    -185.22586
## brass    -198.41295
## brat     -182.01106
## brawl    -174.25436
## brawn     -82.04808
## breach   -140.02971
## bread    -200.46402
## break    -190.42290
## breast   -183.88245
## breath   -188.84560
## breed    -189.48454
## breeze   -199.04385
## brew     -192.13874
## bribe    -192.44280
## brick    -183.68376
## bride    -193.32448
## bridge   -182.66703
## brig      -87.00210
## brim     -156.28507
## bring    -199.97938
## brink    -165.33007
## broach   -101.67590
## broad    -184.14713
## broil    -188.83625
## bronze   -194.90986
## brooch   -144.85308
## brood    -111.85702
## brook    -138.60348
## broom    -200.65624
## broth    -105.41151
## brow     -168.12984
## bruise   -184.30591
## brunt    -135.10110
## brush    -183.22357
## brute    -178.24259
## buck     -171.40398
## bud      -198.25591
## budge    -180.94458
## buff     -178.05974
## bug      -200.45605
## build    -195.49858
## bulb     -190.58620
## bulge    -181.62074
## bulk     -201.21284
## bull     -192.23013
## bum      -185.53351
## bump     -180.65767
## bun      -181.01943
## bunch    -194.60410
## bunk     -148.84435
## burn     -187.44695
## burr     -149.28861
## burst    -184.95027
## bus      -195.88882
## bush     -187.16603
## bust     -192.71988
## butt     -185.85766
## buy      -197.22610
## buzz     -191.01298
## cab      -189.31417
## cad       -94.64562
## cage     -196.05198
## cake     -197.79403
## calf     -189.19362
## call     -199.38307
## cam      -179.76375
## camp     -186.84923
## can      -194.03452
## cane     -182.10094
## cant     -165.08881
## cap      -189.91371
## cape     -185.06192
## car      -199.84932
## card     -187.43887
## care     -187.49423
## cart     -183.78951
## carve    -187.96570
## case     -183.55077
## cash     -199.32523
## cask     -150.36262
## cast     -191.30005
## caste    -146.56770
## cat      -191.56696
## catch    -200.53962
## cause    -191.64142
## cave     -194.45722
## cease    -181.37337
## cell     -186.90546
## cent     -184.33531
## chafe     -75.51497
## chain    -181.65688
## chair    -200.40360
## chaise   -100.81512
## chalk    -196.17669
## champ    -191.66875
## chance   -200.93096
## change   -192.45365
## chant    -185.03449
## chap     -177.44022
## char      -68.46758
## charge   -194.79498
## charm    -200.86640
## chart    -197.81127
## chase    -200.24428
## chat     -189.45651
## cheat    -190.39803
## check    -198.39313
## cheek    -184.48967
## cheer    -200.34695
## cheese   -193.36716
## chef     -196.11280
## chess    -188.22429
## chest    -189.05613
## chew     -198.32587
## chide     -91.71205
## chief    -192.85388
## child    -195.18985
## chime    -184.57578
## chin     -181.01095
## chip     -199.00445
## chive    -123.44145
## choice   -197.97147
## choir    -192.00611
## choke    -186.05492
## chomp    -121.12000
## choose   -193.94852
## chop     -218.63855
## chord    -171.56334
## chore    -176.05109
## chow     -129.50782
## chrome   -172.35501
## chuck    -108.07041
## chum      -94.27295
## chump    -146.09801
## chunk    -181.15675
## church   -198.07688
## churn    -168.15094
## chute    -135.57633
## cinch    -132.48823
## cite     -169.39442
## claim    -183.59402
## clam     -183.37829
## clamp    -180.45168
## clan     -150.00297
## clang    -173.81100
## clap     -207.24223
## clash    -181.86252
## class    -193.98182
## clause   -133.02072
## claw     -187.57446
## clay     -196.65091
## cleat     -83.63746
## clench   -142.35170
## clerk    -183.34218
## click    -190.02283
## cliff    -195.01136
## climb    -199.07738
## clinch   -122.08349
## cling    -187.60080
## clip     -218.89313
## cloak    -184.24441
## clock    -194.97956
## clod     -130.05891
## clog     -147.25098
## clot     -180.13861
## cloth    -184.46513
## cloud    -187.55841
## clout    -174.13907
## clove    -131.16564
## clown    -196.03990
## club     -180.83262
## cluck    -124.64114
## clump    -139.14258
## clutch   -185.24988
## coach    -198.34058
## coal     -200.14167
## coast    -199.03568
## coat     -184.64240
## coax     -170.23923
## cock     -178.45822
## cod      -174.57755
## code     -180.97525
## coil     -181.77307
## coin     -193.51356
## coke     -187.51024
## colt     -164.12222
## comb     -194.19491
## come     -191.11125
## cone     -180.49718
## cook     -194.54502
## coop     -132.64990
## cop      -187.59231
## cope     -190.58582
## cord     -196.17562
## core     -188.10521
## cork     -199.57278
## corn     -192.90894
## corps    -164.00446
## corpse   -189.23187
## cost     -195.36966
## cot      -156.64107
## couch    -197.45141
## cough    -187.03210
## count    -217.84094
## coup     -130.69606
## coupe    -131.78314
## course   -192.21291
## court    -199.68155
## cove     -174.66381
## cow      -207.93442
## cowl      -79.16102
## cox      -185.92869
## crab     -187.65682
## crack    -190.65623
## craft    -190.62083
## crag     -133.96322
## cram     -171.49644
## cramp    -183.33558
## crane    -179.95951
## crank    -181.54297
## crap     -186.18661
## crash    -199.75403
## crate    -160.10063
## crave    -180.76335
## crawl    -190.86483
## craze    -184.42819
## creak    -180.55223
## cream    -190.42549
## crease   -141.98036
## creed    -187.18250
## creek    -182.42285
## creep    -193.43469
## crepe    -126.11991
## crest    -182.43335
## crew     -191.06476
## crime    -181.11051
## croak    -161.38982
## crone    -165.66315
## crook    -191.27335
## croon     -78.44560
## crop     -192.24371
## cross    -188.28670
## crouch   -180.25492
## crow     -194.60016
## crowd    -184.34007
## crown    -196.03993
## crumb    -196.51809
## crunch   -180.84117
## crush    -195.22075
## crust    -200.53829
## crutch   -179.71651
## crux     -100.86016
## cry      -189.14187
## crypt    -178.51142
## cub      -175.90028
## cube     -197.38296
## cud       -96.53217
## cue      -187.12066
## cuff     -155.37407
## cull     -140.84172
## cult     -178.16886
## cup      -198.20142
## cur      -180.14041
## curb     -180.74477
## curd     -146.87156
## cure     -183.56939
## curl     -196.35514
## curse    -192.69478
## curve    -194.28200
## cusp     -149.77830
## cut      -199.67888
## cyst      -89.16688
## czar      -91.18241
## dad      -196.62457
## dale     -105.53136
## dam      -173.80360
## dame     -162.49352
## damn     -181.66805
## damp     -209.91267
## dance    -200.63088
## dare     -200.39420
## darn     -168.02183
## dash     -190.99589
## date     -183.79490
## daunt    -133.97390
## dawn     -190.14074
## deal     -201.01037
## dean     -168.18575
## dearth   -148.41104
## debt     -193.93209
## deck     -201.15085
## deed     -191.01546
## deem      -91.13099
## deer     -196.33213
## dell      -80.69775
## den      -180.44029
## dent     -180.65282
## desk     -201.03572
## dial     -183.48573
## dice     -188.75712
## die      -189.10202
## dig      -197.56066
## dike      -94.58259
## dill     -137.67790
## dime     -182.62318
## din      -177.53531
## dine     -165.61648
## dint      -57.00731
## dip      -191.20060
## dirge    -163.84649
## dirt     -196.81741
## disc     -180.40032
## dish     -209.01029
## ditch    -181.87109
## dive     -185.07342
## do       -195.02992
## dock     -215.99130
## dodge    -184.76231
## doe      -161.63447
## dog      -194.18375
## dole     -171.96683
## doll     -181.98806
## dome     -179.91681
## doom     -181.66545
## door     -198.07028
## dope     -183.56801
## dose     -182.10810
## doubt    -191.71821
## dough    -190.01011
## douse     -87.93434
## draft    -185.61919
## drag     -199.16562
## drain    -186.91322
## drake    -128.99536
## dram      -61.66574
## drape    -170.05547
## draught  -176.00765
## draw     -186.86535
## drawl    -181.59203
## dread    -176.26936
## dream    -200.44284
## dress    -189.73489
## drift    -180.27393
## drill    -195.81360
## drink    -198.81293
## drip     -198.69317
## drive    -197.67098
## drone    -178.40938
## droop    -122.89942
## drop     -191.56761
## dross    -176.57877
## drought  -167.63179
## drove    -176.16417
## drown    -181.05455
## drum     -194.35798
## duck     -216.69014
## duct     -126.54745
## dud      -129.74875
## duel     -188.71096
## dug      -186.27953
## duke     -180.96456
## dump     -191.35167
## dun      -180.28045
## dune     -177.33482
## dung      -98.89112
## dunk     -151.71048
## dusk     -190.12139
## dust     -199.54215
## dwarf    -180.77461
## dwell    -172.50537
## ear      -196.88226
## earl     -157.48979
## earn     -187.52220
## earth    -195.82629
## ease     -180.98398
## east     -171.11774
## eat      -189.95819
## ebb      -139.52033
## edge     -194.51265
## eel      -161.25099
## egg      -199.67162
## elk      -181.43789
## elm      -182.60088
## end      -181.59004
## err      -117.43488
## eve      -181.61677
## ewe      -114.59183
## face     -197.99369
## fact     -199.51575
## fad      -169.12058
## fade     -188.69967
## fail     -180.56736
## fair     -192.27543
## faith    -200.82748
## fake     -183.14830
## fame     -180.32313
## fan      -181.44538
## fang     -153.91651
## farce    -128.83802
## fare     -176.54644
## farm     -200.43610
## fast     -195.47237
## fate     -199.77084
## fault    -195.75787
## fawn     -169.78125
## faze     -161.37957
## fear     -199.41414
## feast    -198.80149
## feat     -171.81364
## fee      -176.63273
## feed     -187.77637
## feel     -200.76152
## feint    -146.21898
## fell     -217.53820
## fen      -160.55271
## fence    -193.26014
## fern     -133.64212
## fetch    -196.10549
## feud     -177.24142
## fiend    -100.06022
## fife      -95.12508
## fig      -178.07030
## fight    -182.32499
## file     -191.68093
## fill     -175.68864
## film     -192.12630
## filth    -164.73946
## fin      -177.10975
## find     -189.25566
## fine     -181.82589
## fink     -128.19956
## fir      -160.69289
## fire     -199.86898
## firm     -197.81088
## fish     -198.30848
## fist     -160.05565
## fix      -199.19889
## flag     -198.46406
## flail     -84.08972
## flair    -167.02358
## flake    -177.85995
## flame    -194.72423
## flange    -77.78611
## flank    -165.52172
## flare    -193.75981
## flask    -186.04246
## flaw     -185.49457
## flax     -150.47933
## flea     -186.79514
## fleck    -114.79213
## flee     -179.89967
## fleet    -177.65240
## flesh    -190.19663
## flex     -186.41258
## flick    -178.21489
## flight   -181.29332
## fling    -183.60531
## flint    -179.31600
## flip     -182.12119
## flirt    -195.48459
## float    -184.83672
## flock    -187.60667
## floe     -124.83803
## flog     -172.28891
## flood    -201.00574
## floor    -194.93439
## flop     -166.74579
## flour    -196.72491
## flow     -180.73387
## fluff    -182.38840
## fluke    -183.47087
## flush    -189.89106
## flute    -182.08560
## flux     -167.27108
## fly      -217.99316
## foal     -146.96308
## foam     -186.60846
## foe      -186.51445
## fog      -185.98904
## foil     -186.45517
## fold     -199.14962
## folk     -191.49744
## font     -128.39290
## food     -192.46381
## fool     -200.77039
## foot     -198.20385
## force    -181.76010
## ford     -154.80241
## forge    -158.95722
## fork     -196.29046
## form     -182.59821
## fort     -148.53677
## found    -198.75046
## fowl     -199.62521
## fox      -200.83614
## frame    -176.34012
## fraud    -167.72186
## fray     -150.17129
## freak    -190.49514
## freeze   -184.41056
## freight  -175.58918
## fret     -118.61732
## friend   -192.71622
## frieze   -151.34850
## fright   -180.89832
## frill    -167.57180
## fringe   -176.32202
## frock    -139.43298
## frog     -193.45640
## front    -198.21656
## frost    -182.99342
## froth    -108.04893
## frown    -180.45975
## fruit    -197.51968
## fry      -207.23630
## fuel     -198.32662
## full     -194.13628
## fun      -192.26159
## fund     -182.25282
## funk     -175.44219
## fur      -193.97543
## fuse     -177.01875
## fuss     -182.68616
## fuzz     -149.71942
## gab      -142.05674
## gag      -153.90201
## gain     -181.93616
## gait     -128.41767
## gal      -123.49029
## gale     -156.99414
## gall     -157.17549
## game     -198.27917
## gang     -185.16853
## gap      -189.97585
## garb     -113.91570
## gas      -180.65592
## gash     -105.17302
## gasp     -180.73186
## gate     -177.42817
## gauge    -141.47217
## gauze    -135.20603
## gay      -181.83602
## gaze     -176.88692
## gear     -195.62553
## gel      -176.01708
## gem      -184.61846
## gene     -162.34574
## get      -192.14874
## ghost    -192.78997
## ghoul    -116.12786
## gibe     -152.77636
## gift     -200.60511
## gig      -121.14889
## gill      -77.93246
## gilt     -138.13177
## gin      -181.24208
## gird     -179.93738
## girl     -185.41351
## gist     -129.11464
## give     -200.41923
## glance   -187.06493
## gland    -181.50381
## glare    -199.90766
## glass    -199.48137
## glaze    -186.50649
## gleam    -149.70624
## glean     -78.15142
## glee     -160.76828
## glen     -138.05497
## glide    -179.37730
## glimpse  -181.60589
## glint    -159.28344
## gloat    -147.86418
## globe    -175.12507
## gloom    -192.23251
## gloss    -197.04696
## glove    -181.16218
## glow     -180.92184
## glue     -190.64798
## gnaw     -148.13584
## gnome    -105.86889
## go       -187.69628
## goad     -175.42552
## goal     -196.93548
## goat     -187.41295
## gob       -92.92868
## god      -180.44332
## gold     -181.47354
## golf     -179.63171
## gong     -136.75768
## goon      -82.58609
## goose    -181.13530
## gore     -113.73461
## gouge    -113.02282
## gourd    -112.04557
## gout     -141.88418
## gown     -176.09009
## grab     -182.00881
## grace    -192.65182
## grade    -186.62193
## graft    -154.77916
## grail    -114.55579
## grain    -184.09747
## gram     -146.18920
## grant    -191.43476
## grape    -189.60300
## graph    -185.83962
## grasp    -185.26879
## grass    -182.52371
## grate    -166.38185
## grave    -191.07287
## graze    -176.97763
## grease   -182.23698
## greed    -186.00497
## greet    -131.94855
## grid     -179.17091
## grill    -181.08286
## grille    -98.32969
## grime    -163.38484
## grin     -174.34637
## grind    -186.01092
## grip     -180.26052
## gripe    -149.76244
## grist    -104.85385
## grit     -133.28047
## groan    -183.79675
## groin    -159.07081
## groom    -193.53934
## groove   -183.85657
## grope    -147.93013
## grouch   -162.22723
## ground   -197.96129
## group    -190.42199
## grouse   -157.99378
## grove    -162.20876
## grow     -201.06610
## growl    -182.43696
## grub     -121.92463
## grudge   -175.96429
## grunt    -177.67135
## guard    -200.05254
## guess    -187.26572
## guest    -189.15322
## guide    -200.88831
## guild    -144.09298
## guile    -126.39129
## guilt    -182.63134
## guise    -143.77007
## gulf     -167.56130
## gull     -120.08771
## gulp     -185.41949
## gum      -181.88003
## gun      -192.22399
## gush     -162.54450
## gust     -151.78339
## gut      -175.50121
## guy      -184.26443
## gyp      -146.46217
## hack     -178.47042
## hag      -179.76687
## hail     -199.05499
## hair     -182.40262
## hall     -187.63546
## halt     -199.93180
## ham      -200.91005
## hand     -199.44052
## hang     -194.70304
## hank     -174.77665
## hark     -176.38746
## harm     -183.11509
## harp     -193.61557
## hart     -168.52176
## hash     -176.20914
## haste    -197.95682
## hat      -187.99763
## hatch    -193.38817
## hate     -200.45734
## haul     -200.91036
## haunt    -157.99476
## have     -196.13109
## haw      -174.20032
## hawk     -185.90663
## hay      -200.81386
## haze     -187.56527
## head     -200.94798
## heal     -187.82440
## heap     -186.46629
## hear     -194.58607
## heart    -199.26920
## hearth   -180.74904
## heat     -195.54489
## heave    -165.81453
## heck     -172.10981
## hedge    -173.64494
## heed     -169.91195
## heel     -185.83466
## height   -188.06078
## heir     -187.25317
## hell     -188.73326
## helm     -123.79796
## help     -201.01953
## hem      -162.33899
## hen      -181.48986
## herb     -178.17455
## herd     -185.34952
## hick     -177.52742
## hide     -218.47044
## hike     -193.76253
## hill     -199.53184
## hilt     -176.98044
## hind     -176.80493
## hinge    -180.36162
## hint     -194.41119
## hip      -198.84194
## hire     -191.31189
## hiss     -162.03450
## hit      -187.51737
## hitch    -148.42064
## hive     -171.91171
## hob      -181.48477
## hoe      -188.72221
## hog      -215.54437
## hoist    -182.30564
## hold     -196.56030
## hole     -197.40129
## home     -185.23381
## hone      -99.91128
## hooch    -178.09863
## hood     -194.60526
## hoof     -184.50824
## hook     -187.10419
## hoop     -182.79194
## hoot     -185.03856
## hop      -187.04030
## hope     -196.63151
## horn     -200.19925
## horse    -177.64212
## hose     -186.40824
## host     -195.40720
## hound    -183.13899
## hour     -185.18428
## house    -186.09946
## howl     -195.10915
## hub      -159.86109
## hue      -182.83223
## huff     -178.46193
## hug      -196.04601
## hulk     -193.74642
## hull     -179.02066
## hum      -180.51707
## hump     -155.67934
## hunch    -171.43645
## hunk     -182.50045
## hunt     -193.42265
## hurl     -192.87161
## hurt     -192.77437
## hush     -181.81352
## hut      -199.93623
## hymn     -179.70839
## ice      -200.58149
## inch     -195.52193
## ink      -201.02916
## inn      -182.07873
## ire      -174.74475
## isle     -166.65099
## itch     -152.99890
## jab      -163.82219
## jack     -194.88451
## jade     -177.90246
## jag      -169.33334
## jail     -199.84986
## jam      -199.41697
## jape     -180.12430
## jar      -190.68929
## jaw      -191.43535
## jazz     -188.97835
## jeep     -197.29172
## jeer     -182.32392
## jerk     -191.06363
## jest     -179.71292
## jet      -194.42485
## jig      -181.90522
## job      -180.71907
## jog      -200.74756
## join     -182.70939
## joke     -200.78253
## jolt     -181.87757
## jot      -175.23047
## joust    -169.66296
## jowl     -146.81414
## joy      -187.00521
## judge    -192.82924
## jug      -194.23846
## juice    -200.69226
## jump     -187.23339
## junk     -197.84977
## jute     -112.79893
## kale     -100.18254
## keel     -177.50477
## keen     -177.06194
## keep     -189.54049
## keg      -190.13369
## kelp      -97.03229
## ken      -173.00713
## key      -181.65477
## kick     -184.68941
## kid      -203.26629
## kill     -200.79465
## kilt     -133.20374
## kin      -179.01424
## kind     -188.54242
## king     -195.66772
## kiss     -199.94801
## kit      -183.92040
## kite     -196.93090
## knack    -123.44901
## knead    -183.49963
## knee     -199.65244
## kneel    -178.31365
## knife    -199.20110
## knight   -186.49950
## knit     -192.80354
## knob     -197.84759
## knock    -194.47703
## knoll    -151.90374
## knot     -199.87277
## know     -197.81410
## lace     -200.42149
## lack     -187.83602
## lad      -190.75027
## lag      -180.62336
## lake     -200.78607
## lamb     -183.68773
## lame     -200.63840
## lamp     -196.93253
## lance    -145.86904
## land     -195.33681
## lane     -197.30554
## lap      -216.39036
## lapse    -186.91971
## lard     -177.86887
## lark     -184.39727
## lash     -183.76217
## lass     -106.43691
## last     -176.23898
## latch    -186.71551
## lath      -71.31035
## lathe    -178.61195
## laugh    -187.55384
## launch   -184.23066
## law      -195.24694
## lawn     -180.29155
## lay      -191.58706
## laze     -180.34280
## leaf     -193.94084
## leak     -200.79032
## lean     -192.27154
## leap     -181.08829
## learn    -158.31850
## lease    -200.55080
## leash    -199.65929
## leave    -196.83804
## ledge    -181.67516
## lee      -142.13596
## leg      -179.99015
## lend     -199.24898
## lens     -183.66180
## let      -180.71141
## lick     -189.40870
## lid      -192.57305
## lie      -196.61016
## life     -199.71845
## lift     -192.01081
## light    -200.24593
## like     -199.73233
## lilt     -181.08672
## limb     -196.88090
## lime     -184.93162
## limp     -190.25822
## line     -171.59604
## link     -186.96683
## lint     -175.89032
## lip      -200.54644
## lisle     -72.67327
## list     -193.41956
## load     -196.30202
## loaf     -195.46061
## loan     -193.83007
## lob      -163.11346
## lobe     -162.57907
## lock     -198.67104
## lodge    -195.13569
## loft     -178.97958
## log      -185.22080
## loin     -180.45705
## look     -200.89288
## loom     -151.07759
## loon     -152.26745
## loop     -198.47146
## loot     -184.21425
## lop      -178.76691
## lope     -179.87696
## lord     -201.15257
## lore     -173.11926
## lose     -186.88683
## loss     -194.38301
## lot      -198.80473
## lounge   -182.29250
## louse    -138.15435
## love     -200.33199
## low      -198.61877
## luck     -190.81332
## lug      -185.59210
## lull     -153.65928
## lump     -196.41528
## lung     -180.98136
## lurch    -122.99628
## lure     -181.35839
## lurk     -179.32360
## lust     -182.89166
## lute     -180.48186
## lye      -113.39506
## lymph    -143.73763
## lynch    -171.52065
## maid     -198.09965
## mail     -184.84237
## make     -200.80784
## mall     -180.99491
## malt     -190.31521
## man      -200.79576
## mane     -178.15251
## manse    -179.99687
## map      -200.88929
## mar      -152.80808
## march    -208.94311
## mare     -153.04917
## mark     -183.89007
## marsh    -151.77142
## mart     -156.16529
## mash     -182.90077
## mask     -200.03229
## mass     -183.25184
## mast     -184.29976
## mat      -182.98024
## match    -193.21547
## mate     -189.31417
## maw      -180.44252
## may      -185.46893
## maze     -188.60830
## mead     -165.20367
## meal     -200.22042
## mean     -182.43839
## meat     -185.86033
## meet     -195.91557
## meld     -181.95455
## melt     -197.25876
## mend     -185.49386
## merge    -185.13664
## mesh     -185.50699
## mess     -176.37795
## mew       -93.25702
## might    -182.50531
## mile     -190.52920
## milk     -188.72241
## mill     -175.77662
## mime     -117.24062
## mince    -124.07608
## mind     -199.74718
## mine     -181.29973
## mink     -143.47993
## mint     -188.97951
## mirth    -160.28016
## miss     -189.59723
## mist     -193.40431
## mite     -140.20659
## mitt     -162.01467
## mix      -195.93080
## moan     -180.78333
## mob      -198.98453
## mock     -182.82263
## mode     -176.03666
## mole     -191.68789
## moll     -134.16861
## mom      -193.87947
## monk     -195.70335
## month    -198.53560
## moo      -169.34997
## mood     -187.67004
## moon     -181.15564
## moose    -185.85569
## moot     -154.24902
## mop      -193.99079
## moss     -186.95398
## moth     -144.23981
## mould    -154.46922
## mount    -194.34909
## mourn    -192.96063
## mouse    -186.28279
## mouth    -196.54944
## move     -195.40326
## mow      -170.08925
## muck     -127.07729
## mud      -199.67960
## muff     -157.43873
## mug      -197.36212
## mulch    -158.18028
## mule     -182.71259
## mum      -145.17177
## munch    -161.30882
## muse     -146.61356
## mush     -160.07078
## must     -191.94733
## myth     -180.64858
## nab      -129.49141
## nail     -181.13085
## name     -181.10523
## nap      -182.97978
## nape     -152.35899
## naught   -116.73088
## neck     -193.97848
## need     -198.85323
## nerve    -180.74976
## nest     -188.23498
## news     -195.08344
## newt     -154.34380
## nick     -110.02855
## niece    -182.17533
## night    -183.06173
## nil       -90.11699
## nip      -152.17401
## nod      -178.18766
## node     -168.31178
## noise    -194.50438
## nonce    -178.07129
## nook     -127.53759
## noon     -180.34611
## noose    -175.11996
## norm     -180.74250
## north    -186.63135
## nose     -183.30460
## notch    -175.82576
## note     -181.15980
## noun     -158.11041
## nudge    -161.41560
## nun      -180.75220
## nurse    -182.95024
## nut      -198.20574
## nymph    -176.22920
## oak      -200.34946
## oath     -181.48698
## oil      -200.78913
## ooze     -169.22255
## orb      -106.54526
## ore      -162.97073
## ought    -180.08222
## ounce    -180.72220
## oust     -120.36905
## owl      -200.70883
## pace     -186.45206
## pack     -200.03758
## pact     -194.62754
## pad      -196.85382
## page     -199.01850
## pail     -181.89365
## pain     -187.32908
## paint    -200.79101
## pair     -200.91535
## pal      -198.66859
## pale     -200.27563
## pall     -180.42408
## palm     -197.91772
## pan      -193.49581
## pane     -173.63900
## pang     -113.91692
## pant     -194.06429
## pap      -155.08606
## par      -150.55461
## pare     -141.23824
## park     -195.30048
## part     -197.76302
## pass     -185.08783
## paste    -193.96265
## pat      -201.02099
## patch    -195.48721
## pate     -180.54193
## path     -199.13139
## paunch   -128.71632
## pause    -195.08612
## pave     -176.88553
## paw      -185.47869
## pawn     -181.30554
## pay      -200.19725
## pea      -200.71785
## peace    -193.35668
## peach    -183.59655
## peak     -192.52927
## peal     -180.74113
## pear     -193.74900
## pearl    -200.70406
## peat     -149.20066
## peck     -191.99361
## pee      -178.43014
## peel     -193.00974
## peep     -182.76616
## peer     -194.61596
## peg      -190.32996
## pelt     -132.93315
## pen      -194.91948
## perch    -163.05021
## perk     -180.57167
## pest     -179.61737
## pet      -198.61938
## pew      -144.58375
## phase    -181.11183
## phrase   -181.60565
## pick     -196.88223
## pie      -198.30053
## piece    -187.93959
## pier     -181.77811
## pierce   -181.03275
## pig      -200.72495
## pike     -192.16184
## pile     -201.09308
## pill     -182.88188
## pimp     -182.37561
## pin      -181.37620
## pinch    -181.51709
## pine     -196.79652
## pint     -179.79237
## pip      -141.24311
## pipe     -200.79356
## piss     -180.38937
## pit      -189.26942
## pitch    -192.42440
## pith     -156.22480
## place    -200.16534
## plaid    -195.06604
## plain    -180.30774
## plan     -199.75165
## plane    -180.41349
## plank    -165.79726
## plant    -186.87656
## plate    -193.70713
## play     -199.25128
## plea     -187.86081
## plead    -197.54027
## please   -200.60513
## pleat    -139.96200
## pledge   -183.61702
## plod     -128.38135
## plot     -199.69362
## plough   -168.01328
## pluck    -187.01974
## plug     -184.80961
## plum     -201.15031
## plume    -147.75666
## plunge   -186.43707
## plush    -190.67229
## poach    -130.40642
## pod      -175.41737
## point    -199.14030
## poise    -182.14728
## poke     -186.77326
## pole     -189.42854
## poll     -186.57128
## pomp     -174.66775
## pond     -189.41431
## pool     -200.77213
## pop      -195.60489
## pope     -198.78770
## porch    -185.46072
## pore     -161.30292
## pork     -198.89402
## port     -172.58744
## pose     -189.27810
## post     -189.02345
## pot      -199.61734
## pouch    -181.26956
## pound    -217.75720
## pour     -187.31020
## pout     -145.10511
## praise   -189.95768
## prank    -186.43458
## pray     -191.62948
## preach   -153.30283
## prep     -171.84332
## press    -192.28831
## prey     -189.16137
## price    -201.04375
## prick    -180.63604
## pride    -200.82340
## priest   -173.18804
## prime    -191.51085
## prince   -180.70659
## print    -200.01293
## prize    -194.75456
## probe    -185.76819
## prod     -125.66617
## prop     -162.65599
## prose    -167.59684
## prove    -176.96263
## prow     -146.63556
## prowl    -184.17431
## pry      -168.89282
## psalm    -148.82511
## pub      -193.56243
## puck     -178.14791
## puff     -185.96957
## puke     -160.15356
## pull     -191.09321
## pulp     -184.67665
## pulse    -197.74327
## pump     -186.66702
## pun      -152.61997
## punch    -193.28538
## punk     -190.08835
## punt     -179.36239
## pup      -191.98190
## purge    -182.04489
## purse    -184.90222
## pus      -169.22421
## push     -180.66252
## put      -186.90233
## putt     -177.24052
## pyre     -132.51120
## quack    -182.74200
## quake    -170.45059
## quart    -179.25868
## quartz   -182.25668
## quay     -180.64821
## queen    -185.98575
## quell     -90.45913
## quench   -165.11307
## quest    -180.60954
## queue    -123.85789
## quill    -175.44452
## quince   -102.66350
## quirk    -177.83390
## quiz     -183.30793
## quote    -191.33135
## race     -198.11683
## rack     -183.32340
## raft     -178.53016
## rag      -182.64473
## rage     -199.89482
## raid     -197.15721
## rail     -183.15828
## rain     -194.15538
## raise    -187.57438
## rake     -194.48468
## ram      -155.21073
## ranch    -199.36576
## range    -193.20861
## rank     -181.84563
## rant     -150.87229
## rap      -184.78257
## rape     -187.57507
## rash     -198.11614
## rasp     -153.50489
## rat      -198.03967
## rate     -189.99352
## rave     -186.42461
## ray      -180.91674
## reach    -200.87198
## realm    -182.55188
## ream     -109.76482
## reap     -167.10910
## rear     -193.66367
## reed     -155.95167
## reef     -143.87664
## reek     -166.25757
## reel     -146.38461
## reign    -179.86880
## rein     -144.30896
## rend     -179.96965
## rent     -190.18769
## rest     -200.14007
## retch     -75.93225
## rhyme    -179.63500
## rib      -196.17857
## rice     -200.77395
## ride     -185.69576
## ridge    -178.83663
## rift     -156.90626
## rig      -170.59593
## right    -197.72989
## rile     -126.35545
## rim      -183.34699
## rime      -97.32187
## rind     -157.11221
## ring     -205.12962
## rink     -153.40128
## rinse    -194.99622
## rip      -182.49528
## rise     -200.97544
## risk     -191.45219
## rite     -161.96341
## roach    -185.43837
## road     -200.40123
## roam     -188.26788
## roar     -192.19869
## roast    -182.36659
## rob      -187.81767
## robe     -182.55111
## rock     -214.41195
## rod      -187.99832
## roe      -152.55201
## role     -190.78017
## roll     -181.86572
## romp     -167.51678
## roof     -200.64776
## rook     -138.88816
## room     -201.12963
## roost    -188.87529
## root     -195.84369
## rope     -193.25526
## rose     -199.24929
## rot      -182.31484
## rouse    -109.79916
## rout     -142.80675
## rove     -102.46964
## rub      -200.95495
## rue      -158.31064
## rug      -192.37163
## rule     -195.91591
## rum      -186.37571
## rump     -177.00274
## run      -182.39466
## rung     -155.71651
## runt     -118.33002
## ruse     -125.97785
## rush     -195.98516
## rust     -186.47716
## rut      -161.82768
## rye      -178.07561
## sack     -181.38433
## sag      -181.07133
## sail     -197.21204
## saint    -193.19802
## sake     -175.30862
## sale     -183.96644
## salt     -200.93687
## salve    -169.89096
## sand     -194.04723
## sap      -161.70409
## sash     -166.15556
## sauce    -194.25657
## save     -193.62870
## saw      -180.62982
## sax      -142.90759
## say      -184.19973
## scald    -132.74153
## scale    -189.65501
## scalp    -199.18853
## scan     -179.27392
## scar     -182.48439
## scare    -180.89109
## scarf    -183.69447
## scene    -186.47742
## scent    -198.97305
## scheme   -183.74244
## school   -187.36515
## scoop    -184.99391
## scope    -182.48246
## score    -193.73116
## scorn    -181.21663
## scotch   -175.97102
## scour    -164.89224
## scourge  -178.14824
## scout    -178.13463
## scrap    -180.07531
## scrape   -180.81136
## scratch  -182.85591
## scream   -181.03118
## screech  -156.68408
## screen   -183.02913
## screw    -198.49072
## scribe   -179.24774
## script   -200.85559
## scrub    -180.37170
## scuff    -125.06189
## sea      -195.16192
## seal     -182.82944
## seam     -134.86899
## sear     -138.84449
## search   -181.41689
## seat     -190.31348
## sect      -99.94389
## see      -191.78837
## seed     -188.68879
## seek     -200.85513
## seem     -181.75375
## seep     -141.27185
## seize    -195.57466
## self     -200.86796
## sell     -181.30150
## send     -187.14536
## sense    -189.31082
## serf     -152.05743
## serge    -147.29813
## serve    -182.59619
## set      -216.67296
## sew      -186.87952
## sex      -194.72307
## shack    -186.29232
## shade    -191.77653
## shaft    -181.66236
## shag     -160.94407
## shah     -147.18545
## shake    -193.82765
## shall    -177.64947
## sham     -159.27056
## shame    -185.77157
## shank    -137.77019
## shape    -197.14663
## shard    -129.99753
## share    -200.24256
## shark    -198.84387
## shave    -186.78456
## shawl    -160.77696
## shay     -168.85477
## sheaf    -134.71014
## shear    -174.93949
## sheath   -153.11712
## shed     -184.09197
## sheen    -138.83067
## sheep    -187.45275
## sheer    -173.79080
## sheet    -200.41155
## shelf    -194.14410
## shell    -199.56135
## shield   -199.55418
## shift    -187.21280
## shin     -147.15172
## shine    -180.82418
## ship     -195.32096
## shirt    -184.85726
## shoal    -132.34243
## shock    -184.36122
## shoe     -182.78821
## shoot    -190.72604
## shop     -193.30460
## shore    -182.16146
## shot     -182.83513
## should   -198.11268
## shout    -192.52305
## shove    -182.26477
## show     -188.95609
## shred    -180.62175
## shrimp   -188.37150
## shrine   -140.27048
## shrink   -184.59248
## shrub    -181.05773
## shrug    -165.70950
## shuck     -66.41084
## shun     -148.85424
## shunt     -88.92763
## shut     -181.15682
## side     -184.96327
## siege    -176.44919
## sigh     -168.48958
## sight    -185.19626
## sign     -182.02806
## silk     -182.17831
## sill      -97.09991
## sin      -182.22349
## sine     -118.70867
## sing     -198.64377
## sink     -192.16919
## sip      -196.58854
## sir      -177.99674
## sit      -198.01136
## site     -182.20437
## size     -197.90668
## skate    -194.54897
## skeet    -109.43309
## sketch   -182.82086
## ski      -183.35815
## skid     -167.38538
## skiff    -180.61242
## skill    -190.75877
## skin     -180.88865
## skip     -185.55314
## skirt    -183.05177
## skit     -192.00284
## skulk    -179.31220
## skull    -196.78046
## skunk    -177.59175
## sky      -200.66095
## slab     -162.59691
## slam     -183.43198
## slang    -184.48609
## slant    -179.90846
## slap     -187.07270
## slash    -180.14656
## slat     -151.77345
## slate    -171.99172
## slave    -195.93579
## sleep    -185.52576
## sleeve   -196.70456
## slice    -198.69689
## slide    -188.20559
## slip     -200.91958
## slit     -176.38266
## slob     -181.57827
## sloe     -123.63303
## sloop    -167.91264
## slop     -138.09665
## slope    -180.03769
## slot     -185.55776
## slouch   -169.68509
## slough   -145.58309
## sludge   -122.18315
## slug     -180.66807
## sluice    -92.79625
## slum     -156.86832
## slump    -183.36251
## smack    -183.89885
## smart    -190.89902
## smash    -191.95490
## smear    -198.17040
## smell    -201.10671
## smelt    -119.75341
## smile    -198.52244
## smirk    -178.61039
## smoke    -199.91458
## snack    -180.85243
## snag     -187.81700
## snail    -180.88458
## snake    -189.01835
## snap     -191.98352
## snare    -183.00733
## snatch   -181.81924
## sneak    -185.82818
## sneer    -183.88806
## sniff    -180.79748
## snip     -175.96220
## snob     -182.07075
## snoop    -181.84615
## snort    -176.38868
## snout    -168.95209
## snow     -186.54858
## snug     -180.52873
## soak     -197.47780
## soap     -200.16651
## sob      -180.05084
## sock     -183.37526
## sod      -171.87159
## sole     -186.57966
## solve    -181.25565
## son      -181.25281
## song     -190.83793
## soot     -119.54193
## soothe   -170.16985
## sop       -83.73825
## sort     -186.53192
## soul     -197.95494
## sound    -198.28543
## soup     -190.62455
## source   -198.28723
## south    -160.28873
## soy      -175.16696
## spa      -174.78614
## space    -197.98748
## spade    -185.49271
## span     -180.64747
## spare    -178.05936
## spark    -197.20340
## spat     -176.79569
## spate    -111.00926
## speak    -183.95419
## spear    -189.72437
## speck    -139.14800
## speech   -189.36855
## speed    -192.29387
## spell    -216.32296
## spend    -200.73799
## sphere   -181.48723
## sphinx   -179.94988
## spice    -181.51852
## spike    -200.21482
## spill    -200.79296
## spin     -200.44849
## spine    -186.52255
## spire    -158.62392
## spit     -187.10868
## spite    -166.83538
## splash   -191.04133
## spleen   -119.16819
## splice   -141.89797
## split    -191.21048
## splurge  -149.94455
## spoil    -190.85159
## spoke    -199.23060
## spoof    -140.69351
## spool    -200.30231
## spoon    -183.00644
## sport    -189.72238
## spot     -187.75950
## spouse   -184.65008
## spout    -180.21162
## sprawl   -180.95361
## spray    -180.97597
## spread   -182.45694
## spree    -128.06103
## sprig    -115.04485
## spring   -190.76490
## sprite   -139.41580
## sprout   -185.85708
## spur     -181.05879
## spurt    -150.35850
## spy      -188.31846
## squad    -180.87108
## squall   -150.39663
## square   -183.61700
## squash   -181.76713
## squat    -168.49606
## squaw    -131.41016
## squawk   -148.36056
## squeak   -182.72145
## squeal   -181.00390
## squeeze  -185.02159
## squint   -182.96655
## squire   -159.63537
## squirm   -183.28025
## squirt   -181.15938
## stab     -182.63030
## stack    -184.97649
## staff    -196.70822
## stag     -192.24278
## stage    -189.04544
## stain    -180.92344
## stair    -185.67165
## stake    -176.17803
## stalk    -183.83689
## stall    -195.48427
## stamp    -186.02848
## stance   -177.40538
## stanch   -180.56656
## stand    -192.21779
## star     -190.12509
## starch   -188.25045
## stare    -185.37836
## start    -186.51464
## starve   -183.12463
## state    -187.50174
## staunch  -123.61599
## stave    -142.97568
## stay     -198.67880
## stead    -155.95757
## steak    -181.94466
## steal    -197.20842
## steam    -180.82406
## steed    -145.20282
## steel    -184.23587
## steer    -181.12375
## stem     -181.08885
## stench   -147.23065
## step     -200.63407
## stew     -201.07647
## stick    -191.94926
## still    -197.13325
## stilt    -133.62956
## sting    -181.41852
## stink    -183.02117
## stint    -179.08703
## stir     -200.52349
## stitch   -159.49681
## stock    -200.79504
## stole    -197.24023
## stone    -182.69567
## stool    -200.61712
## stoop    -147.13251
## stop     -191.18682
## store    -190.57169
## stork    -183.89562
## storm    -190.51949
## stout    -179.12411
## stove    -187.92922
## stow     -149.30681
## strafe   -147.84158
## strain   -189.56634
## strand   -177.70038
## strap    -181.55638
## straw    -198.46286
## stray    -195.31001
## streak   -185.23100
## stream   -180.72231
## street   -184.65562
## stress   -199.67425
## stretch  -184.51077
## stride   -189.82380
## strife   -168.19175
## strike   -199.54884
## string   -185.42963
## strip    -197.04015
## stripe   -188.38285
## strive   -180.66686
## stroke   -184.98136
## stroll   -181.33209
## strut    -150.71255
## stub     -176.97841
## stud     -188.61374
## stuff    -191.09978
## stump    -186.63561
## stunt    -180.22997
## style    -201.26580
## sub      -101.36317
## suck     -181.09020
## sue      -174.48491
## suit     -188.74241
## suite    -185.04976
## sulk     -151.02668
## sum      -183.32059
## sun      -184.45043
## sup      -180.40745
## surf     -182.64960
## surge    -173.12656
## swamp    -181.09200
## swan     -180.87993
## swap     -163.73537
## swarm    -182.43300
## swath    -132.62906
## sway     -182.26336
## swear    -192.45092
## sweat    -191.82666
## sweep    -182.57894
## swell    -200.14395
## swerve   -180.52034
## swig     -150.03193
## swim     -190.68511
## swine    -183.51825
## swing    -200.76318
## swipe    -181.79670
## swirl    -180.64483
## switch   -185.40019
## swoop    -156.86837
## sword    -198.07336
## tab      -185.34022
## tack     -176.33901
## tact     -192.71239
## tag      -184.71084
## tail     -184.72631
## taint    -181.81679
## take     -197.70279
## tale     -190.42640
## talk     -184.25489
## tamp     -167.22871
## tan      -184.36064
## tang     -149.54767
## tank     -180.64485
## tape     -195.05473
## tar      -192.36393
## tart     -180.99384
## task     -199.74633
## taste    -197.67707
## taunt    -180.87145
## tax      -197.43836
## tea      -199.77956
## teach    -191.02276
## teak     -180.01713
## team     -198.86443
## tease    -192.64861
## tech      -87.81491
## tee      -184.37759
## teens    -180.63116
## tell     -194.65884
## tempt    -195.21270
## tend     -180.67396
## tense    -190.90090
## tent     -199.59224
## test     -193.52206
## text     -198.24632
## thank    -196.56183
## thaw     -182.35138
## theft    -184.26335
## theme    -184.80674
## thief    -183.78824
## thigh    -198.10657
## thin     -189.50348
## thing    -187.31533
## think    -201.13987
## thirst   -200.45242
## thong    -156.36850
## thorn    -201.22372
## thought  -189.60409
## thrash   -178.27403
## thread   -193.55188
## threat   -182.45325
## thrift   -185.10655
## thrill   -184.75852
## thrive   -183.50626
## throat   -200.86765
## throne   -164.71495
## throng   -123.56174
## throw    -183.93494
## thrush   -141.05117
## thrust   -178.71564
## thud     -165.84815
## thug     -180.18188
## thumb    -200.85403
## thump    -180.29647
## thwack    -69.88762
## thwart   -117.62108
## tick     -186.55413
## tide     -196.56664
## tie      -200.84923
## tile     -193.51767
## till     -161.59442
## tilt     -197.53381
## time     -198.48702
## tin      -180.94602
## tint     -185.77405
## tip      -197.06531
## tire     -200.97726
## toad     -196.87132
## toast    -194.68751
## toe      -181.83163
## toil     -182.27629
## toll     -177.94355
## tomb     -200.83594
## tome     -178.69157
## ton      -180.57649
## tone     -192.34436
## tongue   -197.27626
## tool     -200.33085
## toot     -134.82231
## tooth    -190.75599
## top      -191.95672
## torch    -182.64931
## torque   -167.21144
## toss     -195.88279
## tote     -134.76051
## touch    -200.38667
## tour     -195.14263
## tout     -150.25232
## town     -197.88637
## toy      -200.69679
## trace    -194.76932
## track    -194.24009
## tract    -182.29736
## trade    -199.17087
## trail    -181.11521
## train    -198.67365
## trait    -178.41001
## tramp    -177.71435
## trance   -170.77200
## trap     -190.86261
## trash    -184.49993
## tray     -165.96589
## tread    -169.87215
## treat    -192.72229
## tree     -200.78745
## trench   -181.53911
## trend    -183.81384
## tribe    -178.30895
## trick    -183.65501
## trill     -94.16183
## trip     -191.79556
## tripe    -171.75262
## troll    -136.96517
## troop    -166.04180
## trot     -135.28715
## trough    -93.68329
## trout    -194.04248
## truce    -164.77918
## truck    -185.05282
## trump    -148.60379
## trunk    -198.23572
## trust    -190.07674
## try      -195.85143
## tryst    -112.84060
## tub      -194.13519
## tube     -216.92661
## tuck     -178.55011
## tug      -198.70088
## tune     -191.38696
## turf     -171.55761
## turn     -182.79657
## tusk     -160.32522
## twain    -162.32873
## tweed    -184.84046
## twin     -197.72927
## twinge   -128.61933
## twist    -192.82113
## twitch   -162.54191
## type     -183.02511
## urge     -182.82870
## urn      -134.31288
## use      -200.83881
## vale      -91.99215
## valve    -180.06871
## vamp     -128.25498
## van      -180.81909
## vase     -182.60375
## vault    -188.14842
## veal     -178.27877
## veer     -114.97513
## veil     -181.14742
## vein     -183.58269
## vent     -178.16570
## verb     -184.68581
## verge    -159.83677
## verse    -183.17903
## verve    -134.43507
## vest     -167.99669
## vet      -151.03262
## vex      -176.05522
## vice     -173.31412
## vie      -115.53271
## view     -186.44667
## vine     -181.75091
## voice    -198.95639
## volt     -171.24166
## vote     -182.26521
## vow      -177.10667
## wad      -178.98317
## wade     -181.51480
## wag      -181.88373
## wage     -182.73042
## wail     -178.78120
## waist    -182.07415
## wait     -192.62549
## waive    -180.78233
## wake     -182.53353
## walk     -200.46508
## wall     -189.20329
## waltz    -196.91729
## wand     -165.61315
## wane     -148.80157
## want     -189.11503
## war      -199.26031
## ward     -143.55354
## ware     -169.85551
## warn     -185.87922
## warp     -180.54669
## wart     -177.63468
## wash     -185.94342
## wasp     -184.10712
## waste    -200.15587
## watch    -192.66822
## watt     -177.08193
## wave     -182.90926
## wax      -183.55179
## way      -198.28467
## wealth   -182.18372
## wear     -185.04252
## weave    -190.74689
## web      -200.42579
## wed      -197.52588
## wedge    -181.52227
## weed     -189.29600
## week     -184.75629
## weep     -181.79709
## weigh    -187.13253
## weight   -188.70792
## weld     -141.79127
## well     -200.32148
## welt     -121.10373
## west     -114.32336
## whack    -178.16920
## wharf    -185.54525
## wheat    -188.46007
## wheel    -180.62622
## whelp     -90.58333
## whiff    -156.87735
## while    -192.41235
## whim     -181.59557
## whine    -177.74231
## whip     -200.70913
## whirl    -181.79477
## whit     -134.39318
## whiz     -189.42119
## whoop    -138.18243
## whoosh   -169.41934
## whore    -182.70005
## whorl    -108.52093
## wick     -180.51518
## wield    -164.96930
## wife     -200.72738
## wig      -183.04902
## will     -200.32653
## wilt     -176.39696
## win      -182.73619
## wine     -200.01716
## wing     -201.17582
## wink     -191.84227
## wipe     -199.77178
## wire     -200.67935
## wish     -197.65220
## wisp     -133.95200
## wit      -182.50256
## witch    -183.96758
## woe      -184.55422
## wolf     -199.94778
## womb     -181.50125
## woo      -106.62975
## wood     -182.96857
## wool     -178.06062
## word     -192.47041
## work     -196.50376
## world    -198.47112
## worm     -183.73084
## would    -195.31638
## wow      -180.40014
## wrack    -180.52854
## wrap     -188.24931
## wrath    -178.23654
## wreak    -170.33325
## wreath   -175.45290
## wreck    -188.39151
## wren     -134.32344
## wrest    -178.39661
## wretch   -180.97686
## wring     -93.40979
## wrist    -196.10915
## writ      -87.58469
## write    -188.71382
## writhe   -164.88819
## yacht    -155.32949
## yak       -69.96091
## yam      -179.76095
## yang      -69.95411
## yank     -139.63449
## yard     -186.10504
## yarn     -185.51758
## yaw      -117.54558
## yawl     -114.62595
## yawn     -185.24873
## yea      -165.71545
## year     -187.99051
## yearn    -163.12216
## yeast    -187.47526
## yell     -183.94923
## yelp     -142.53706
## yen      -123.83434
## yes      -201.01983
## yield    -200.55056
## yoke     -186.55671
## yolk     -177.72981
## yore     -125.92411
## youth    -192.62613
## zeal     -172.60322
## zest     -171.22512
## zinc     -160.04073
## zing     -108.93644
## zip      -188.51310
## zone     -192.72950
## zoo      -180.22780
coef(mdl.glmmSlope2)$`Word`[2]
##          RTlexdec
## ace     28.144460
## act     29.780340
## add     28.842061
## age     28.696374
## aid     27.699138
## aide    24.137715
## ail     18.782872
## aim     29.105869
## air     30.663172
## aisle   26.650259
## ale     27.585897
## angst   25.334029
## ant     29.289671
## ape     28.661932
## arc     19.283464
## arch    28.225253
## are     27.921122
## arm     33.369377
## art     28.942060
## ash     28.001179
## ask     30.129540
## ass     28.040544
## axe     27.840985
## babe    28.888478
## back    29.930490
## badge   28.006414
## bag     30.569977
## bail    25.700574
## bait    29.237822
## bale    18.509007
## ball    28.714384
## ban     22.935654
## band    27.945684
## bang    30.134840
## bank    29.664507
## bar     30.679911
## bard    17.897905
## barge   21.602546
## bark    30.115909
## barn    30.701413
## base    29.487685
## bash    27.662695
## bat     30.585568
## batch   29.081565
## bath    29.682889
## bay     29.006601
## beach   28.343672
## bead    25.743002
## beak    20.275533
## beam    27.630158
## bean    27.860964
## bear    32.669605
## beard   30.111308
## beast   27.813674
## beat    29.045540
## beau    23.569580
## beck    13.761305
## bed     28.864318
## bee     30.444863
## beech   19.244618
## beef    32.407114
## beep    29.123803
## beer    30.448300
## beet    26.544315
## beg     30.787551
## belch   23.676774
## bell    29.880185
## belt    28.665473
## bench   30.663898
## bend    30.453124
## berth   24.107821
## bet     30.801093
## bib     25.628950
## bid     30.808326
## bide    13.475163
## bile    25.482823
## bilge   14.999400
## bill    28.991593
## bin     24.290859
## bind    22.962568
## binge   26.471116
## birch   24.195017
## bird    29.453688
## bit     30.321961
## bitch   28.587201
## bite    30.691883
## blade   29.769070
## blame   28.924620
## blanch  19.067653
## blast   28.507009
## blaze   29.808262
## bleat   24.026482
## bleed   28.358195
## bleep   20.165239
## blend   29.276398
## bless   28.564825
## blight  25.234396
## blink   27.615623
## bliss   30.384367
## blitz   26.266262
## bloat   27.206665
## blob    26.226351
## block   29.445149
## bloke   17.580283
## blood   29.031032
## bloom   30.087622
## blot    28.170629
## blouse  26.406105
## blow    29.854453
## bluff   29.834827
## blur    27.601539
## blush   30.765748
## boar    21.951633
## board   29.617679
## boast   29.115435
## boat    30.738549
## bob     21.947699
## bog     24.903518
## boil    28.689152
## bolt    30.815862
## bomb    28.647567
## bond    29.632751
## bone    30.632473
## boo     28.067927
## book    27.949677
## boom    27.898237
## boon    20.748204
## boost   27.616450
## boot    29.291508
## booth   30.209768
## booze   28.367356
## bore    28.229781
## boss    29.594058
## bough   14.512626
## bounce  30.777870
## bound   28.319417
## bout    21.462394
## bowl    28.389486
## box     27.826338
## boy     30.321544
## brace   28.793518
## brad    14.182653
## brag    28.928028
## braid   27.516137
## brain   29.910624
## brake   30.795008
## bran    12.682242
## branch  28.116981
## brand   28.349194
## brass   30.394668
## brat    27.850539
## brawl   26.647385
## brawn   12.345097
## breach  21.338736
## bread   30.712813
## break   29.155316
## breast  28.140815
## breath  28.910659
## breed   29.009765
## breeze  30.492528
## brew    29.421464
## bribe   29.468626
## brick   28.109995
## bride   29.605386
## bridge  27.952289
## brig    13.113525
## brim    23.860135
## bring   30.637640
## brink   25.263121
## broach  15.389606
## broad   28.181870
## broil   28.909208
## bronze  29.851296
## brooch  22.086897
## brood   16.968817
## brook   21.117510
## broom   30.742629
## broth   15.969042
## brow    25.697399
## bruise  28.206498
## brunt   20.574250
## brush   28.038616
## brute   27.266007
## buck    26.205256
## bud     30.370309
## budge   27.685117
## buff    27.237644
## bug     30.711577
## build   29.942615
## bulb    29.180647
## bulge   27.789997
## bulk    30.828964
## bull    29.435639
## bum     28.396914
## bump    27.640613
## bun     27.696727
## bunch   29.803869
## bunk    22.705991
## burn    28.693712
## burr    22.774900
## burst   28.306447
## bus     30.003146
## bush    28.650138
## bust    29.511605
## butt    28.447193
## buy     30.210574
## buzz    29.246845
## cab     28.983338
## cad     14.299126
## cage    30.028454
## cake    30.298666
## calf    28.964641
## call    30.545144
## cam     27.501956
## camp    28.600998
## can     29.715521
## cane    27.864482
## cant    25.225699
## cap     29.076334
## cape    28.323764
## car     30.617466
## card    28.692459
## care    28.701045
## cart    28.126399
## carve   28.774176
## case    28.089368
## cash    30.536174
## cask    22.941492
## cast    29.291373
## caste   22.352856
## cat     29.332773
## catch   30.724539
## cause   29.344324
## cave    29.781087
## cease   27.751626
## cell    28.609720
## cent    28.211059
## chafe   11.331735
## chain   27.795602
## chair   30.703441
## chaise  15.256088
## chalk   30.047796
## champ   29.348562
## chance  30.785241
## change  29.470309
## chant   28.319510
## chap    27.141549
## char    10.238601
## charge  29.833477
## charm   30.775228
## chart   30.301340
## chase   30.678729
## chat    29.005417
## cheat   29.151458
## check   30.391593
## cheek   28.235003
## cheer   30.694654
## cheese  29.612007
## chef    30.037888
## chess   28.814286
## chest   28.943314
## chew    30.381160
## chide   13.844094
## chief   29.532390
## child   29.894726
## chime   28.248359
## chin    27.695411
## chip    30.486416
## chive   18.765700
## choice  30.326188
## choir   29.400890
## choke   28.477791
## chomp   18.405616
## choose  29.702182
## chop    33.531898
## chord   26.229975
## chore   26.926078
## chow    19.706665
## chrome  26.352773
## chuck   16.381469
## chum    14.241321
## chump   22.280001
## chunk   27.718026
## church  30.342540
## churn   25.700671
## chute   20.647964
## cinch   20.168962
## cite    25.893550
## claim   28.096077
## clam    28.062614
## clamp   27.608661
## clan    22.885706
## clang   26.578613
## clap    31.764193
## clash   27.827499
## class   29.707348
## clause  20.251558
## claw    28.713489
## clay    30.121355
## cleat   12.591629
## clench  21.698904
## clerk   28.057012
## click   29.093261
## cliff   29.867041
## climb   30.497728
## clinch  18.555065
## cling   28.717575
## clip    33.571387
## cloak   28.196960
## clock   29.862107
## clod    19.792147
## clog    22.458840
## clot    27.560102
## cloth   28.231196
## cloud   28.711000
## clout   26.629501
## clove   19.963813
## clown   30.026580
## club    27.667751
## cluck   18.951786
## clump   21.201131
## clutch  28.352920
## coach   30.383442
## coal    30.662812
## coast   30.491261
## coat    28.258692
## coax    26.024590
## cock    27.299453
## cod     26.697514
## code    27.689874
## coil    27.813625
## coin    29.634715
## coke    28.703528
## colt    25.075768
## comb    29.740400
## come    29.262087
## cone    27.615720
## cook    29.794705
## coop    20.194040
## cop     28.716258
## cope    29.180586
## cord    30.047631
## core    28.795814
## cork    30.574571
## corn    29.540930
## corps   25.057503
## corpse  28.970573
## cost    29.922618
## cot     23.915354
## couch   30.245521
## cough   28.629363
## count   33.408180
## coup    19.890976
## coupe   20.059594
## course  29.432969
## court   30.591442
## cove    26.710895
## cow     31.871561
## cowl    11.897281
## cox     28.458211
## crab    28.726264
## crack   29.191508
## craft   29.186017
## crag    20.397750
## cram    26.219598
## cramp   28.055988
## crane   27.532320
## crank   27.777934
## crap    28.498218
## crash   30.602686
## crate   24.451973
## crave   27.657005
## crawl   29.223865
## craze   28.225466
## creak   27.624259
## cream   29.155719
## crease  21.641305
## creed   28.652691
## creek   27.914414
## creep   29.622480
## crepe   19.181162
## crest   27.916042
## crew    29.254876
## crime   27.710854
## croak   24.651941
## crone   25.314786
## crook   29.287231
## croon   11.786310
## crop    29.437746
## cross   28.823966
## crouch  27.578142
## crow    29.803259
## crowd   28.211797
## crown   30.026585
## crumb   30.100752
## crunch  27.669076
## crush   29.899520
## crust   30.724333
## crutch  27.494628
## crux    15.263074
## cry     28.956613
## crypt   27.307705
## cub     26.902686
## cube    30.234904
## cud     14.591752
## cue     28.643100
## cuff    23.718828
## cull    21.464687
## cult    27.254569
## cup     30.361857
## cur     27.560381
## curb    27.654123
## curd    22.399987
## cure    28.092256
## curl    30.075477
## curse   29.507712
## curve   29.753908
## cusp    22.850857
## cut     30.591028
## cyst    13.449308
## czar    13.761941
## dad     30.117269
## dale    15.987633
## dam     26.577465
## dame    24.823139
## damn    27.797336
## damp    32.178410
## dance   30.738695
## dare    30.701983
## darn    25.680645
## dash    29.244194
## date    28.127236
## daunt   20.399407
## dawn    29.111551
## deal    30.797559
## dean    25.706071
## dearth  22.638779
## debt    29.699634
## deck    30.819348
## deed    29.247229
## deem    13.753965
## deer    30.071908
## dell    12.135646
## den     27.606895
## dent    27.639861
## desk    30.801490
## dial    28.079279
## dice    28.896934
## die     28.950432
## dig     30.262467
## dike    14.289348
## dill    20.973941
## dime    27.945487
## din     27.156299
## dine    25.307547
## dint     8.460977
## dip     29.275947
## dirge   25.033000
## dirt    30.147180
## disc    27.600695
## dish    32.038440
## ditch   27.828829
## dive    28.325549
## do      29.869920
## dock    33.121278
## dodge   28.277292
## doe     24.689890
## dog     29.738669
## dole    26.292562
## doll    27.846973
## dome    27.525696
## doom    27.796931
## door    30.341516
## dope    28.092042
## dose    27.865592
## doubt   29.356234
## dough   29.091287
## douse   13.258126
## draft   28.410205
## drag    30.511415
## drain   28.610924
## drake   19.627177
## dram     9.183555
## drape   25.996087
## draught 26.919341
## draw    28.603498
## drawl   27.785543
## dread   26.959935
## dream   30.709527
## dress   29.048598
## drift   27.581090
## drill   29.991477
## drink   30.456710
## drip    30.438133
## drive   30.279579
## drone   27.291877
## droop   18.681625
## drop    29.332874
## dross   27.007927
## drought 25.620145
## drove   26.943619
## drown   27.702174
## drum    29.765694
## duck    33.229677
## duct    19.247478
## dud     19.744037
## duel    28.889774
## dug     28.512630
## duke    27.688215
## dump    29.299379
## dun     27.582102
## dune    27.125201
## dung    14.957654
## dunk    23.150562
## dusk    29.108548
## dust    30.569819
## dwarf   27.658752
## dwell   26.376095
## ear     30.157240
## earl    24.047000
## earn    28.705383
## earth   29.993446
## ease    27.691228
## east    26.160857
## eat     29.083235
## ebb     21.259724
## edge    29.789685
## eel     24.630408
## egg     30.589902
## elk     27.761634
## elm     27.942029
## end     27.785235
## err     17.834010
## eve     27.789382
## ewe     17.393020
## face    30.329635
## fact    30.565724
## fad     25.851073
## fade    28.888023
## fail    27.626605
## fair    29.442666
## faith   30.769189
## fake    28.026940
## fame    27.588722
## fan     27.762796
## fang    23.492742
## farce   19.602771
## fare    27.002914
## farm    30.708482
## fast    29.938548
## fate    30.605292
## fault   29.982833
## fawn    25.953552
## faze    24.650352
## fear    30.549964
## feast   30.454934
## feat    26.268800
## fee     27.016297
## feed    28.744808
## feel    30.758959
## feint   22.298765
## fell    33.361220
## fen     24.522095
## fence   29.595406
## fern    20.347945
## fetch   30.036753
## feud    27.110712
## fiend   15.138994
## fife    14.373496
## fig     27.239282
## fight   27.899235
## file    29.350451
## fill    26.869858
## film    29.419534
## filth   25.171510
## fin     27.090288
## find    28.974263
## fine    27.821819
## fink    19.503739
## fir     24.543839
## fire    30.620515
## firm    30.301279
## fish    30.378463
## fist    24.444996
## fix     30.516576
## flag    30.402596
## flail   12.661781
## flair   25.525805
## flake   27.206654
## flame   29.822504
## flange  11.684015
## flank   25.292848
## flare   29.672911
## flask   28.475858
## flaw    28.390873
## flax    22.959595
## flea    28.592608
## fleck   17.424087
## flee    27.523039
## fleet   27.174460
## flesh   29.120219
## flex    28.533268
## flick   27.261709
## flight  27.739211
## fling   28.097827
## flint   27.432505
## flip    27.867622
## flirt   29.940445
## float   28.288833
## flock   28.718485
## floe    18.982326
## flog    26.342520
## flood   30.796840
## floor   29.855102
## flop    25.482716
## flour   30.132832
## flow    27.652433
## fluff   27.909070
## fluke   28.076973
## flush   29.072822
## flute   27.862102
## flux    25.564195
## fly     33.431790
## foal    22.414183
## foam    28.563652
## foe     28.549070
## fog     28.467571
## foil    28.539874
## fold    30.508934
## folk    29.321991
## font    19.533728
## food    29.471885
## fool    30.760335
## foot    30.362233
## force   27.811613
## ford    23.630157
## forge   24.274617
## fork    30.065444
## form    27.941614
## fort    22.658281
## found   30.447020
## fowl    30.582703
## fox     30.770533
## frame   26.970910
## fraud   25.634116
## fray    22.911815
## freak   29.166521
## freeze  28.222731
## freight 26.854431
## fret    18.017420
## friend  29.511037
## frieze  23.094414
## fright  27.677941
## frill   25.610841
## fringe  26.968103
## frock   21.246176
## frog    29.625848
## front   30.364205
## frost   28.002915
## froth   16.378138
## frown   27.609914
## fruit   30.256111
## fry     31.763274
## fuel    30.381276
## full    29.731306
## fun     29.440518
## fund    27.888040
## funk    26.831631
## fur     29.706355
## fuse    27.076174
## fuss    27.955257
## fuzz    22.841724
## gab     21.653152
## gag     23.490494
## gain    27.838922
## gait    19.537570
## gal     18.773276
## gale    23.970120
## gall    23.998249
## game    30.373916
## gang    28.340301
## gap     29.085973
## garb    17.288144
## gas     27.640341
## gash    15.932050
## gasp    27.652121
## gate    27.139679
## gauge   21.562478
## gauze   20.590525
## gay     27.823390
## gaze    27.055726
## gear    29.962306
## gel     26.920803
## gem     28.254978
## gene    24.800216
## get     29.423014
## ghost   29.522477
## ghoul   17.631276
## gibe    23.315892
## gift    30.734698
## gig     18.410097
## gill    11.706716
## gilt    21.044342
## gin     27.731263
## gird    27.528888
## girl    28.378300
## gist    19.645679
## give    30.705866
## glance  28.634456
## gland   27.771859
## glare   30.626514
## glass   30.560392
## glaze   28.547835
## gleam   22.839680
## glean   11.740680
## glee    24.555534
## glen    21.032430
## glide   27.442012
## glimpse 27.787693
## glint   24.325218
## gloat   22.553954
## globe   26.782442
## gloom   29.436008
## gloss   30.182786
## glove   27.718869
## glow    27.681590
## glue    29.190228
## gnaw    22.596092
## gnome   16.039988
## go      28.732386
## goad    26.829045
## goal    30.165494
## goat    28.688437
## gob     14.032807
## god     27.607365
## gold    27.767164
## golf    27.481475
## gong    20.831205
## goon    12.428550
## goose   27.714699
## gore    17.260054
## gouge   17.149647
## gourd   16.998064
## gout    21.626386
## gown    26.932128
## grab    27.850191
## grace   29.501049
## grade   28.565741
## graft   23.626551
## grail   17.387428
## grain   28.174168
## gram    22.294146
## grant   29.312267
## grape   29.028141
## graph   28.444395
## grasp   28.355852
## grass   27.930058
## grate   25.426265
## grave   29.256134
## graze   27.069795
## grease  27.885584
## greed   28.470043
## greet   20.085252
## grid    27.410000
## grill   27.706565
## grille  14.870568
## grime   24.961393
## grin    26.661657
## grind   28.470966
## grip    27.579010
## gripe   22.848397
## grist   15.882543
## grit    20.291849
## groan   28.127522
## groin   24.292235
## groom   29.638713
## groove  28.136801
## grope   22.564184
## grouch  24.781834
## ground  30.324609
## group   29.155175
## grouse  24.125175
## grove   24.778970
## grow    30.806203
## growl   27.916603
## grub    18.530423
## grudge  26.912614
## grunt   27.177399
## guard   30.648987
## guess   28.665600
## guest   28.958373
## guide   30.778625
## guild   21.968996
## guile   19.223254
## guilt   27.946752
## guise   21.918910
## gulf    25.609212
## gull    18.245496
## gulp    28.379228
## gum     27.830216
## gun     29.434686
## gush    24.831046
## gust    23.161871
## gut     26.840786
## guy     28.200065
## gyp     22.336486
## hack    27.301344
## hag     27.502440
## hail    30.494255
## hair    27.911275
## hall    28.722952
## halt    30.630259
## ham     30.781998
## hand    30.554056
## hang    29.819216
## hank    26.728398
## hark    26.978254
## harm    28.021788
## harp    29.650537
## hart    25.758190
## hash    26.950594
## haste   30.323916
## hat     28.779128
## hatch   29.615265
## hate    30.711777
## haul    30.782045
## haunt   24.125328
## have    30.040724
## haw     26.639002
## hawk    28.454789
## hay     30.767077
## haze    28.712064
## head    30.787881
## heal    28.752258
## heap    28.541599
## hear    29.801073
## heart   30.527482
## hearth  27.654786
## heat    29.949798
## heave   25.338267
## heck    26.314739
## hedge   26.552856
## heed    25.973825
## heel    28.443626
## height  28.788923
## heir    28.663654
## hell    28.893233
## helm    18.820999
## help    30.798978
## hem     24.799169
## hen     27.769696
## herb    27.255452
## herd    28.368375
## hick    27.155074
## hide    33.505821
## hike    29.673333
## hill    30.568220
## hilt    27.070231
## hind    27.043007
## hinge   27.594692
## hint    29.773948
## hip     30.461209
## hire    29.293210
## hiss    24.751939
## hit     28.704634
## hitch   22.640267
## hive    26.284011
## hob     27.768906
## hoe     28.891519
## hog     33.051954
## hoist   27.896233
## hold    30.107300
## hole    30.237747
## home    28.350427
## hone    15.115892
## hooch   27.243677
## hood    29.804050
## hoof    28.237883
## hook    28.640546
## hoop    27.971665
## hoot    28.320141
## hop     28.630635
## hope    30.118346
## horn    30.671743
## horse   27.172867
## hose    28.532596
## host    29.928440
## hound   28.025496
## hour    28.342744
## house   28.484699
## howl    29.882208
## hub     24.414817
## hue     27.977913
## huff    27.300028
## hug     30.027527
## hulk    29.670833
## hull    27.386694
## hum     27.618804
## hump    23.766178
## hunch   26.210292
## hunk    27.926451
## hunt    29.620613
## hurl    29.535141
## hurt    29.520056
## hush    27.819899
## hut     30.630947
## hymn    27.493369
## ice     30.731033
## inch    29.946236
## ink     30.800472
## inn     27.861036
## ire     26.723450
## isle    25.468011
## itch    23.350410
## jab     25.029231
## jack    29.847365
## jade    27.213248
## jag     25.884075
## jail    30.617550
## jam     30.550402
## jape    27.557882
## jar     29.196636
## jaw     29.312359
## jazz    28.931249
## jeep    30.220752
## jeer    27.899069
## jerk    29.254702
## jest    27.494072
## jet     29.776066
## jig     27.834123
## job     27.650137
## jog     30.756793
## join    27.958860
## joke    30.762218
## jolt    27.829835
## jot     26.798791
## joust   25.935204
## jowl    22.391081
## joy     28.625192
## judge   29.528568
## jug     29.747155
## juice   30.748215
## jump    28.660585
## junk    30.307311
## jute    17.114919
## kale    15.157968
## keel    27.151561
## keen    27.082872
## keep    29.018444
## keg     29.110456
## kelp    14.669326
## ken     26.453925
## key     27.795276
## kick    28.265984
## kid     31.147477
## kill    30.764097
## kilt    20.279947
## kin     27.385698
## kind    28.863631
## king    29.968850
## kiss    30.632773
## kit     28.146701
## kite    30.164785
## knack   18.766873
## knead   28.081435
## knee    30.586927
## kneel   27.277028
## knife   30.516919
## knight  28.546750
## knit    29.524582
## knob    30.306974
## knock   29.784160
## knoll   23.180537
## knot    30.621102
## know    30.301780
## lace    30.706215
## lack    28.754060
## lad     29.206096
## lag     27.635291
## lake    30.762766
## lamb    28.110611
## lame    30.739861
## lamp    30.165037
## lance   22.244485
## land    29.917522
## lane    30.222896
## lap     33.183176
## lapse   28.611930
## lard    27.208037
## lark    28.220670
## lash    28.122158
## lass    16.128094
## last    26.955222
## latch   28.580256
## lath    10.679548
## lathe   27.323298
## laugh   28.710290
## launch  28.194827
## law     29.903582
## lawn    27.583823
## lay     29.335891
## laze    27.591774
## leaf    29.700990
## leak    30.763426
## lean    29.442062
## leap    27.707408
## learn   24.175544
## lease   30.726274
## leash   30.587989
## leave   30.150380
## ledge   27.798438
## lee     21.665439
## leg     27.537072
## lend    30.524346
## lens    28.106590
## let     27.648949
## lick    28.998002
## lid     29.488831
## lie     30.115033
## life    30.597166
## lift    29.401619
## light   30.678985
## like    30.599319
## lilt    27.707165
## limb    30.157029
## lime    28.303554
## limp    29.129772
## line    26.235048
## link    28.619238
## lint    26.901141
## lip     30.725597
## lisle   10.890953
## list    29.620134
## load    30.067237
## loaf    29.936725
## loan    29.683808
## lob     24.919299
## lobe    24.836408
## lock    30.434701
## lodge   29.886325
## loft    27.380322
## log     28.348409
## loin    27.609495
## look    30.779335
## loom    23.052393
## loon    23.236954
## loop    30.403744
## loot    28.192281
## lop     27.347334
## lope    27.519516
## lord    30.819615
## lore    26.471317
## lose    28.606831
## loss    29.769576
## lot     30.455438
## lounge  27.894195
## louse   21.047845
## love    30.692333
## low     30.426593
## luck    29.215875
## lug     28.406002
## lull    23.452844
## lump    30.084805
## lung    27.690822
## lurch   18.696648
## lure    27.749303
## lurk    27.433683
## lust    27.987131
## lute    27.613343
## lye     17.207385
## lymph   21.913878
## lynch   26.223353
## maid    30.346071
## mail    28.289710
## make    30.766143
## mall    27.692924
## malt    29.138613
## man     30.764270
## mane    27.252033
## manse   27.538116
## map     30.778777
## mar     23.320812
## march   32.028020
## mare    23.358208
## mark    28.141997
## marsh   23.160013
## mart    23.841555
## mash    27.988545
## mask    30.645847
## mass    28.043000
## mast    28.205544
## mat     28.000871
## match   29.588476
## mate    28.983339
## maw     27.607241
## may     28.386896
## maze    28.873850
## mead    25.243515
## meal    30.675028
## mean    27.916824
## meat    28.447607
## meet    30.007294
## meld    27.841775
## melt    30.215638
## mend    28.390764
## merge   28.335355
## mesh    28.392800
## mess    26.976778
## mew     14.083737
## might   27.927204
## mile    29.171805
## milk    28.891551
## mill    26.883504
## mime    17.803878
## mince   18.864138
## mind    30.601623
## mine    27.740204
## mink    21.873906
## mint    28.931429
## mirth   24.479820
## miss    29.027246
## mist    29.617768
## mite    21.366172
## mitt    24.748863
## mix     30.009657
## moan    27.660105
## mob     30.483327
## mock    27.976424
## mode    26.923840
## mole    29.351531
## moll    20.429610
## mom     29.691471
## monk    29.974377
## month   30.413691
## moo     25.886654
## mood    28.728315
## moon    27.717855
## moose   28.446887
## moot    23.544320
## mop     29.708738
## moss    28.617245
## moth    21.991773
## mould   23.578475
## mount   29.764315
## mourn   29.548948
## mouse   28.513137
## mouth   30.105615
## move    29.927829
## mow     26.001326
## muck    19.329662
## mud     30.591140
## muff    24.039081
## mug     30.231672
## mulch   24.154104
## mule    27.959356
## mum     22.136330
## munch   24.639377
## muse    22.359969
## mush    24.447343
## must    29.391774
## myth    27.639204
## nab     19.704121
## nail    27.714010
## name    27.710036
## nap     28.000801
## nape    23.251153
## naught  17.724810
## neck    29.706829
## need    30.462961
## nerve   27.654898
## nest    28.815945
## news    29.878221
## newt    23.559020
## nick    16.685200
## niece   27.876020
## night   28.013512
## nil     13.596681
## nip     23.222460
## nod     27.257485
## node    25.725619
## noise   29.788401
## nonce   27.239436
## nook    19.401060
## noon    27.592286
## noose   26.781649
## norm    27.653771
## north   28.567202
## nose    28.051184
## notch   26.891127
## note    27.718499
## noun    24.143267
## nudge   24.655941
## nun     27.655277
## nurse   27.996218
## nut     30.362527
## nymph   26.953705
## oak     30.695043
## oath    27.769249
## oil     30.763241
## ooze    25.866891
## orb     16.144901
## ore     24.897159
## ought   27.551355
## ounce   27.650622
## oust    18.289135
## owl     30.750785
## pace    28.539392
## pack    30.646667
## pact    29.807506
## pad     30.152829
## page    30.488596
## pail    27.832329
## pain    28.675428
## paint   30.763533
## pair    30.782820
## pal     30.434320
## pale    30.683591
## pall    27.604380
## palm    30.317851
## pan     29.631961
## pane    26.551935
## pang    17.288332
## pant    29.720139
## pap     23.674153
## par     22.971272
## pare    21.526193
## park    29.911886
## part    30.293856
## pass    28.327784
## paste   29.704373
## pat     30.799205
## patch   29.940850
## pate    27.622661
## path    30.506107
## paunch  19.583895
## pause   29.878637
## pave    27.055509
## paw     28.388410
## pawn    27.741105
## pay     30.671434
## pea     30.752185
## peace   29.610380
## peach   28.096469
## peak    29.482040
## peal    27.653560
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## pier    27.814406
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## plum    30.819264
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## retch   11.396460
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## wait    29.496963
## waive   27.659949
## wake    27.931581
## walk    30.712978
## wall    28.966140
## waltz   30.162673
## wand    25.307029
## wane    22.699354
## want    28.952450
## war     30.526103
## ward    21.885323
## ware    25.965071
## warn    28.450538
## warp    27.623400
## wart    27.171713
## wash    28.460496
## wasp    28.175665
## waste   30.665015
## watch   29.503591
## watt    27.085973
## wave    27.989862
## wax     28.089526
## way     30.374770
## wealth  27.877321
## wear    28.320756
## weave   29.205571
## web     30.706883
## wed     30.257073
## wedge   27.774724
## weed    28.980521
## week    28.276358
## weep    27.817351
## weigh   28.644940
## weight  28.889303
## weld    21.611975
## well    30.690703
## welt    18.403092
## west    17.351376
## whack   27.254622
## wharf   28.398735
## wheat   28.850859
## wheel   27.635735
## whelp   13.669017
## whiff   23.952005
## while   29.463903
## whim    27.786092
## whine   27.188407
## whip    30.750833
## whirl   27.816991
## whit    20.464443
## whiz    28.999940
## whoop   21.052200
## whoosh  25.897416
## whore   27.957410
## whorl   16.451351
## wick    27.618511
## wield   25.207162
## wife    30.753663
## wig     28.011540
## will    30.691486
## wilt    26.979727
## win     27.963016
## wine    30.643499
## wing    30.823222
## wink    29.375477
## wipe    30.605438
## wire    30.746213
## wish    30.276666
## wisp    20.396010
## wit     27.926778
## witch   28.154020
## woe     28.245014
## wolf    30.632737
## womb    27.771463
## woo     16.158006
## wood    27.999062
## wool    27.237780
## word    29.472909
## work    30.098529
## world   30.403690
## worm    28.117299
## would   29.914353
## wow     27.600668
## wrack   27.620584
## wrap    28.818166
## wrath   27.265068
## wreak   26.039173
## wreath  26.833292
## wreck   28.840224
## wren    20.453625
## wrest   27.289895
## wretch  27.690123
## wring   14.107433
## wrist   30.037321
## writ    13.203892
## write   28.890218
## writhe  25.194581
## yacht   23.711913
## yak     10.470234
## yam     27.501522
## yang    10.469180
## yank    21.277432
## yard    28.485565
## yarn    28.394444
## yaw     17.851181
## yawl    17.398311
## yawn    28.352741
## yea     25.322899
## year    28.778024
## yearn   24.920648
## yeast   28.698102
## yell    28.151174
## yelp    21.727655
## yen     18.826642
## yes     30.799026
## yield   30.726236
## yoke    28.555624
## yolk    27.186467
## yore    19.150790
## youth   29.497063
## zeal    26.391272
## zest    26.177514
## zinc    24.442681
## zing    16.515801
## zip     28.859083
## zone    29.513097
## zoo     27.573936
4.4.2.3.4 Logodds to Odd ratios

Logodds can be modified to talk about the odds of an event.

exp(fixef(mdl.glmmSlope2)[1])
##  (Intercept) 
## 6.849895e-79
exp(fixef(mdl.glmmSlope2)[1] + fixef(mdl.glmmSlope2)[2])
##  (Intercept) 
## 6.225845e-67
4.4.2.3.5 LogOdds to proportions

If you want to talk about the percentage “accuracy” of our model, then we can transform our loggodds into proportions. This shows that the proportion of “grammatical” receiving a “yes” response increases by 99% (or 95% based on our “true” coefficients)

plogis(fixef(mdl.glmmSlope2)[1])
##  (Intercept) 
## 6.849895e-79
plogis(fixef(mdl.glmmSlope2)[1] + fixef(mdl.glmmSlope2)[2])
##  (Intercept) 
## 6.225845e-67
4.4.2.3.6 Plotting
english2 <- english2 %>% 
  mutate(prob2 = predict(mdl.glmmSlope2, type = "response"))
english2 %>% 
  ggplot(aes(x = as.numeric(AgeSubject), y = prob2)) +
  geom_point() +
  geom_smooth(method = "glm", 
    method.args = list(family = "binomial"), 
    se = T) + theme_bw(base_size = 20)+
    labs(y = "Probability", x = "")+
    coord_cartesian(ylim = c(0,1))+
    scale_x_discrete(limits = c("Young", "Old"))

The plot above shows how the two groups differ using a glmm. The results point to an overall increase in the proportion of reaction time when moving from the “Young” to the “Old” group.

Let’s use z-scoring next

4.4.2.4 With z-scoring of predictor

4.4.2.4.1 Model estimation
english2 <- english2 %>% 
  mutate(`RTlexdec_z` = scale(RTlexdec, center = TRUE, scale = TRUE))

english2['RTlexdec_z'] <- as.data.frame(scale(english2$RTlexdec))
4.4.2.4.1.1 Random Intercepts
mdl.glmm3 <- english2 %>% 
  glmer(AgeSubject ~ RTlexdec_z + (1|Word), data = ., family = "binomial")
summary(mdl.glmm3)
## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: AgeSubject ~ RTlexdec_z + (1 | Word)
##    Data: .
## 
##       AIC       BIC    logLik -2*log(L)  df.resid 
##    3151.8    3171.1   -1572.9    3145.8      4565 
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -26.3468  -0.3058  -0.0166   0.3893   4.0750 
## 
## Random effects:
##  Groups Name        Variance Std.Dev.
##  Word   (Intercept) 0        0       
## Number of obs: 4568, groups:  Word, 2197
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)  0.07690    0.04480   1.716   0.0861 .  
## RTlexdec_z   3.08341    0.09107  33.856   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr)
## RTlexdec_z 0.025 
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')
4.4.2.4.1.2 Random Slopes
mdl.glmmSlope3 <- english2 %>% 
  glmer(AgeSubject ~ RTlexdec_z + (RTlexdec_z|Word), data = ., family = "binomial")
summary(mdl.glmmSlope3)
## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: AgeSubject ~ RTlexdec_z + (RTlexdec_z | Word)
##    Data: .
## 
##       AIC       BIC    logLik -2*log(L)  df.resid 
##    3075.6    3107.7   -1532.8    3065.6      4563 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.3927 -0.2133 -0.0024  0.2512  5.8055 
## 
## Random effects:
##  Groups Name        Variance Std.Dev. Corr
##  Word   (Intercept) 0.8508   0.9224       
##         RTlexdec_z  1.9696   1.4034   1.00
## Number of obs: 4568, groups:  Word, 2197
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)  0.38012    0.07664    4.96 7.05e-07 ***
## RTlexdec_z   4.32050    0.26713   16.17  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr)
## RTlexdec_z 0.646 
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## Model failed to converge with max|grad| = 0.00335891 (tol = 0.002, component 1)
4.4.2.4.2 Model comparison
anova(mdl.glmm3, mdl.glmmSlope3)
## Data: .
## Models:
## mdl.glmm3: AgeSubject ~ RTlexdec_z + (1 | Word)
## mdl.glmmSlope3: AgeSubject ~ RTlexdec_z + (RTlexdec_z | Word)
##                npar    AIC    BIC  logLik -2*log(L)  Chisq Df Pr(>Chisq)    
## mdl.glmm3         3 3151.8 3171.1 -1572.9    3145.8                         
## mdl.glmmSlope3    5 3075.6 3107.7 -1532.8    3065.6 80.259  2  < 2.2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

The model comparisons show that the model with both random intercepts and random slopes is improving the model fit. The Is.Singular message tells us that there is a chance there is a complete separation in the model.

4.4.2.4.3 Gettings results
4.4.2.4.3.1 Model’s fit
print(tab_model(mdl.glmmSlope3, file = paste0("outputs/mdl.glmmSlope3.html")))
htmltools::includeHTML("outputs/mdl.glmmSlope3.html")
  Age Subject
Predictors Odds Ratios CI p
(Intercept) 1.46 1.26 – 1.70 <0.001
RTlexdec z 75.23 44.56 – 126.99 <0.001
Random Effects
σ2 3.29
τ00 Word 0.85
τ11 Word.RTlexdec_z 1.97
ρ01 Word 1.00
ICC 0.46
N Word 2197
Observations 4568
Marginal R2 / Conditional R2 0.753 / 0.867
4.4.2.4.3.2 Fixed effects
fixef(mdl.glmmSlope3)
## (Intercept)  RTlexdec_z 
##   0.3801193   4.3205029
fixef(mdl.glmmSlope3)[1]
## (Intercept) 
##   0.3801193
fixef(mdl.glmmSlope3)[2]
## RTlexdec_z 
##   4.320503
4.4.2.4.3.3 Random effects
coef(mdl.glmmSlope3)$`Word`[1]
##           (Intercept)
## ace      0.4429212637
## act      0.6115900993
## add      0.5148513960
## age      0.4998303024
## aid      0.3969975952
## aide     0.0298149457
## ail     -0.5223248920
## aim      0.5420519930
## air      0.7025897634
## aisle    0.2888583972
## ale      0.3853232087
## angst    0.1531547853
## ant      0.5610006668
## ape      0.4962788323
## arc     -0.4707015084
## arch     0.4512528389
## are      0.4198901328
## arm      0.9816125475
## art      0.5251614946
## ash      0.4281455397
## ask      0.6475872009
## ass      0.4322048232
## axe      0.4116260599
## babe     0.5196373616
## back     0.6270678266
## badge    0.4286905200
## bag      0.6929868460
## bail     0.1909596118
## bait     0.5556562438
## bale    -0.5505704375
## ball     0.5016870267
## ban     -0.0941223592
## band     0.4224229334
## bang     0.6481332676
## bank     0.5996475267
## bar      0.7043147769
## bard    -0.6135752052
## barge   -0.2315978510
## bark     0.6462121316
## barn     0.7065307175
## base     0.5814176531
## bash     0.3932383080
## bat      0.6945639688
## batch    0.5395463959
## bath     0.6015430074
## bay      0.5318171846
## beach    0.4634627256
## bead     0.1953244038
## beak    -0.3684048394
## beam     0.3898833217
## bean     0.4136863882
## bear     0.9094956778
## beard    0.6457097003
## beast    0.4088095955
## beat     0.5358319249
## beau    -0.0287634590
## beck    -1.0401672566
## bed      0.5170928203
## bee      0.6800920701
## beech   -0.4747123984
## beef     0.8824327201
## beep     0.5439011712
## beer     0.6804450006
## beet     0.2779529997
## beg      0.7154007065
## belch   -0.0177078249
## bell     0.6218300941
## belt     0.4966436753
## bench    0.7026657475
## bend     0.6809424799
## berth    0.0267365037
## bet      0.7167968807
## bib      0.1835735923
## bid      0.7175521351
## bide    -1.0696921302
## bile     0.1685029621
## bilge   -0.9124773087
## bill     0.5302685540
## bin      0.0456044002
## bind    -0.0913567686
## binge    0.2704045341
## birch    0.0357240783
## bird     0.5779126783
## bit      0.6674249010
## bitch    0.4885831627
## bite     0.7055495815
## blade    0.6104278444
## blame    0.5233630982
## blanch  -0.4929583589
## blast    0.4803043073
## blaze    0.6144688025
## bleat    0.0183456161
## bleed    0.4649603651
## bleep   -0.3797852982
## blend    0.5596330958
## bless    0.4862663439
## blight   0.1428873962
## blink    0.3883831213
## bliss    0.6738568960
## blitz    0.2492738579
## bloat    0.3462414401
## blob     0.2451566487
## block    0.5770305003
## bloke   -0.6463286354
## blood    0.5343354434
## bloom    0.6432669970
## blot     0.4456271471
## blouse   0.2636920842
## blow     0.6192294225
## bluff    0.6172042368
## blur     0.3869336735
## blush    0.7131474304
## boar    -0.1955958722
## board    0.5947657521
## boast    0.5430369452
## boat     0.7103581623
## bob     -0.1959878583
## bog      0.1087750715
## boil     0.4990938952
## bolt     0.7183260398
## bomb     0.4947974370
## bond     0.5963739485
## bone     0.6994280481
## boo      0.4350288449
## book     0.4228348289
## boom     0.4175301020
## boon    -0.3196660622
## boost    0.3884695283
## boot     0.5611917375
## booth    0.6558586105
## booze    0.4659052452
## bore     0.4517195072
## boss     0.5923835714
## bough   -0.9627047005
## bounce   0.7144017667
## bound    0.4609616571
## bout    -0.2460322292
## bowl     0.4681865740
## box      0.4100776287
## boy      0.6673379100
## brace    0.5098469818
## brad    -0.9966896627
## brag     0.5237158832
## braid    0.3781290908
## brain    0.6250201213
## brake    0.7161658576
## bran    -1.1514660807
## branch   0.4400871815
## brand    0.4640320808
## brass    0.6749200766
## brat     0.4126113388
## brawl    0.2885613311
## brawn   -1.1862039707
## breach  -0.2587840272
## bread    0.7076881101
## break    0.5471484226
## breast   0.4425448250
## breath   0.5219254049
## breed    0.5321428406
## breeze   0.6850056664
## brew     0.5745906890
## bribe    0.5794532261
## brick    0.4393668579
## bride    0.5935510820
## bridge   0.4231040292
## brig    -1.1069673462
## brim     0.0011982951
## bring    0.6999609443
## brink    0.1458544124
## broach  -0.8722497068
## broad    0.4467782091
## broil    0.5217749464
## bronze   0.6189044123
## brooch  -0.1816354895
## brood   -0.7094065232
## brook   -0.2816186167
## broom    0.7107733646
## broth   -0.8125147519
## brow     0.1906300586
## bruise   0.4493189892
## brunt   -0.3376069307
## brush    0.4320060311
## brute    0.3523559613
## buck     0.2429907001
## bud      0.6724083757
## budge    0.3955515982
## buff     0.3494155734
## bug      0.7075605668
## build    0.6283170006
## bulb     0.5497611363
## bulge    0.4063718473
## bulk     0.7196745111
## bull     0.5760512511
## bum      0.4689530236
## bump     0.3909613508
## bun      0.3967498974
## bunch    0.6140159054
## bunk    -0.1178040820
## burn     0.4995560188
## burr    -0.1106972838
## burst    0.4596244774
## bus      0.6345575285
## bush     0.4950627199
## bust     0.5839028146
## butt     0.4741430727
## buy      0.6559407337
## buzz     0.5565872619
## cab      0.5294183107
## cad     -0.9847086112
## cage     0.6371676804
## cake     0.6649785501
## calf     0.5274908336
## call     0.6904273541
## cam      0.3766635610
## camp     0.4899959221
## can      0.6049070152
## cane     0.4140491392
## cant     0.1419877333
## cap      0.5390064821
## cape     0.4614098560
## car      0.6978534281
## card     0.4994258311
## care     0.5003108780
## cart     0.4410599144
## carve    0.5078525617
## case     0.4372412744
## cash     0.6894698805
## cask    -0.0935208092
## cast     0.5611781549
## caste   -0.1542136414
## cat      0.5654445158
## catch    0.7089143235
## cause    0.5666375358
## cave     0.6116670912
## cease    0.4024118709
## cell     0.4908951888
## cent     0.4497920814
## chafe   -1.2907596850
## chain    0.4069458639
## chair    0.7067213920
## chaise  -0.8860164593
## chalk    0.6391613967
## champ    0.5670900604
## chance   0.7151706410
## change   0.5796256110
## chant    0.4609714796
## chap     0.3395091276
## char    -1.4035016044
## charge   0.6170667535
## charm    0.7141380874
## chart    0.6652999440
## chase    0.7041960375
## chat     0.5316951765
## cheat    0.5467518041
## check    0.6746033924
## cheek    0.4522620030
## cheer    0.7058148841
## cheese   0.5942348067
## chef     0.6381390467
## chess    0.5119866167
## chest    0.5252904777
## chew     0.6735251384
## chide   -1.0316427394
## chief    0.5860253161
## child    0.6233290343
## chime    0.4536347476
## chin     0.3966131451
## chip     0.6843399725
## chive   -0.5241066284
## choice   0.6678582166
## choir    0.5724690117
## choke    0.4772918218
## chomp   -0.5612192605
## choose   0.6035301838
## chop     0.9983643940
## chord    0.2455301673
## chore    0.3173066707
## chow    -0.4270800364
## chrome   0.2581871849
## chuck   -0.7700118104
## chum    -0.9906823421
## chump   -0.1617254425
## chunk    0.3989466811
## church   0.6695445501
## churn    0.1909576313
## chute   -0.3300191604
## cinch   -0.3794016903
## cite     0.2108425843
## claim    0.4379315455
## clam     0.4344810298
## clamp    0.3876846450
## clan    -0.0992725513
## clang    0.2814742891
## clap     0.8161558694
## clash    0.4102389252
## class    0.6040638945
## clause  -0.3708886332
## claw     0.5015949000
## clay     0.6467437345
## cleat   -1.1608121728
## clench  -0.2216407913
## clerk    0.4339031481
## click    0.5407520901
## cliff    0.6205279222
## climb    0.6855431358
## clinch  -0.5458172312
## cling    0.5020163308
## clip     1.0024318172
## cloak    0.4483417620
## clock    0.6200177865
## clod    -0.4182564481
## clog    -0.1432853614
## clot     0.3826628239
## cloth    0.4518648117
## cloud    0.5013371934
## clout    0.2867295776
## clove   -0.4005478710
## clown    0.6369744445
## club     0.3937626267
## cluck   -0.5049015745
## clump   -0.2729653983
## clutch   0.4644164337
## coach    0.6737604782
## coal     0.7025548180
## coast    0.6848766971
## coat     0.4546996482
## coax     0.2243590701
## cock     0.3557911627
## cod      0.2937476474
## code     0.3960472163
## coil     0.4088056968
## coin     0.5965745351
## coke     0.5005669497
## colt     0.1265256647
## comb     0.6074699752
## come     0.5581581223
## cone     0.3883937362
## cook     0.6130689391
## coop    -0.3768099259
## cop      0.5018807032
## cope     0.5497701434
## cord     0.6391450905
## core     0.5100836741
## cork     0.6934634272
## corn     0.5869054622
## corps    0.1246551604
## corpse   0.5281024940
## cost     0.6262580226
## cot      0.0068911198
## couch    0.6595442455
## cough    0.4929198000
## count    0.9855792497
## coup    -0.4080615350
## coupe   -0.3906861696
## course   0.5757761177
## court    0.6951697034
## cove     0.2951170576
## cow      0.8271177832
## cowl    -1.2324499079
## cox      0.4752732076
## crab     0.5029120517
## crack    0.5508809131
## craft    0.5503156696
## crag    -0.3558013234
## cram     0.2444553420
## cramp    0.4337985434
## crane    0.3797959122
## crank    0.4051238830
## crap     0.4793985690
## crash    0.6963574999
## crate    0.0622187126
## crave    0.3926514614
## crawl    0.5542165897
## craze    0.4512801917
## creak    0.3892734518
## cream    0.5471917730
## crease  -0.2275829575
## creed    0.4953264373
## creek    0.4191984836
## creep    0.5953153900
## crepe   -0.4812659870
## crest    0.4193662727
## crew     0.5574149597
## crime    0.3982058904
## croak    0.0828343227
## crone    0.1511709627
## crook    0.5607513010
## croon   -1.2438539401
## crop     0.5762691165
## cross    0.5129863005
## crouch   0.3845189132
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## stake    0.3193355830
## stalk    0.4418163619
## stall    0.6280899938
## stamp    0.4768688499
## stance   0.3389588618
## stanch   0.3895027918
## stand    0.5758526478
## star     0.5423871362
## starch   0.5124065660
## stare    0.4664708767
## start    0.4846445657
## starve   0.4304239944
## state    0.5004411746
## staunch -0.5213060833
## stave   -0.2116612836
## stay     0.6791303022
## stead   -0.0040413015
## steak    0.4115552010
## steal    0.6556128545
## steam    0.3936229975
## steed   -0.1760420031
## steel    0.4481974911
## steer    0.3984256453
## stem     0.3978616568
## stench  -0.1436106630
## step     0.7104275575
## stew     0.7174967837
## stick    0.5715583688
## still    0.6544575358
## stilt   -0.3611379726
## sting    0.4031331292
## stink    0.4287687215
## stint    0.3658448282
## stir     0.7086564275
## stitch   0.0525604114
## stock    0.7129862604
## stole    0.6561674545
## stone    0.4235623353
## stool    0.7101379041
## stoop   -0.1451800544
## stop     0.5593653529
## store    0.5495292426
## stork    0.4427599247
## storm    0.5486938183
## stout    0.3664389276
## stove    0.5072683556
## stow    -0.1104065272
## strafe  -0.1338401010
## strain   0.5334517063
## strand   0.3436894971
## strap    0.4053399203
## straw    0.6757182559
## stray    0.6253042857
## streak   0.4641142402
## stream   0.3919957669
## street   0.4549115789
## stress   0.6950819796
## stretch  0.4525948797
## stride   0.5375692887
## strife   0.1916126049
## strike   0.6930475038
## string   0.4672910181
## strip    0.6529683584
## stripe   0.5145241398
## strive   0.3911115206
## stroke   0.4601214524
## stroll   0.4017575164
## strut   -0.0879243153
## stub     0.3321284066
## stud     0.5182169286
## stuff    0.5579753599
## stump    0.4865810288
## stunt    0.3841311442
## style    0.7205198432
## sub     -0.8772349158
## suck     0.3978809934
## sue      0.2922644261
## suit     0.5202746510
## suite    0.4612154910
## sulk    -0.0829006520
## sum      0.4335581218
## sun      0.4516291488
## sup      0.3869577672
## surf     0.4228254182
## surge    0.2705418903
## swamp    0.3979094428
## swan     0.3945166391
## swap     0.1203464608
## swarm    0.4193622586
## swath   -0.3771428577
## sway     0.4166484453
## swear    0.5795812043
## sweat    0.5695988086
## sweep    0.4216950785
## swell    0.7025946811
## swerve   0.3887633670
## swig    -0.0988098683
## swim     0.5513417407
## swine    0.4367197074
## swing    0.7124850174
## swipe    0.4091825994
## swirl    0.3907563649
## switch   0.4668208026
## swoop    0.0105260403
## sword    0.6694880366
## tab      0.4658618850
## tack     0.3218981187
## tact     0.5837614661
## tag      0.4557941818
## tail     0.4560424400
## taint    0.4095047606
## take     0.6635654933
## tale     0.5472058439
## talk     0.4485013805
## tamp     0.1762076582
## tan      0.4501934049
## tang    -0.1065540195
## tank     0.3907565890
## tape     0.6212205963
## tar      0.5781918746
## tart     0.3963598478
## task     0.6962347909
## taste    0.6631508501
## taunt    0.3943852843
## tax      0.6593343514
## tea      0.6967651300
## teach    0.5567436962
## teak     0.3807209852
## team     0.6821384944
## tease    0.5827443523
## tech    -1.0939461581
## tee      0.4504653904
## teens    0.3905369142
## tell     0.6148905912
## tempt    0.6237481836
## tend     0.3912217892
## tense    0.5547946494
## tent     0.6937415733
## test     0.5967120764
## text     0.6722533681
## thank    0.6453213730
## thaw     0.4180556718
## theft    0.4486371877
## theme    0.4573282644
## thief    0.4410376567
## thigh    0.6700206132
## thin     0.5324461070
## thing    0.4974501012
## think    0.7185078061
## thirst   0.7075244854
## thong    0.0025310604
## thorn    0.7198490460
## thought  0.5340539857
## thrash   0.3528474381
## thread   0.5971888874
## threat   0.4196847127
## thrift   0.4621267940
## thrill   0.4565570624
## thrive   0.4365313832
## throat   0.7141548729
## throne   0.1360092327
## throng  -0.5221724183
## throw    0.4433842637
## thrush  -0.2424476075
## thrust   0.3599236343
## thud     0.1541410654
## thug     0.3833580456
## thumb    0.7139320597
## thump    0.3851926259
## thwack  -1.3807722719
## thwart  -0.6171944862
## tick     0.4852781922
## tide     0.6453499809
## tie      0.7138583702
## tile     0.5966393299
## till     0.0861079784
## tilt     0.6608630329
## time     0.6761022182
## tin      0.3955739452
## tint     0.4728003411
## tip      0.6533711351
## tire     0.7159129524
## toad     0.6502701167
## toast    0.6152950186
## toe      0.4097036420
## toil     0.4168540867
## toll     0.3475586511
## tomb     0.7136529851
## tome     0.3595173898
## ton      0.3896617344
## tone     0.5778778005
## tongue   0.6567431004
## tool     0.7055573143
## toot    -0.3420714116
## tooth    0.5524209503
## top      0.5716231720
## torch    0.4228207262
## torque   0.1759307693
## toss     0.6344630918
## tote    -0.3430924751
## touch    0.7064746225
## tour     0.6226259100
## tout    -0.0952850911
## town     0.6664988971
## toy      0.7114112372
## trace    0.6166577554
## track    0.6081945934
## tract    0.4171982298
## trade    0.6870366633
## trail    0.3982816413
## train    0.6791223254
## trait    0.3550182611
## tramp    0.3439133327
## trance   0.2328757478
## trap     0.5541822915
## trash    0.4524210664
## tray     0.1560241156
## tread    0.2184965593
## treat    0.5839225472
## tree     0.7128801062
## trench   0.4050634525
## trend    0.4414485586
## tribe    0.3534116365
## trick    0.4389068337
## trill   -0.9924333132
## trip     0.5691022473
## tripe    0.2485523492
## troll   -0.3077973519
## troop    0.1572383363
## trot    -0.3346297175
## trough  -1.0001073953
## trout    0.6050270714
## truce    0.1370396140
## truck    0.4612649955
## trump   -0.1216554030
## trunk    0.6720856929
## trust    0.5416143084
## try      0.6339591947
## tryst   -0.6936545860
## tub      0.6065161697
## tube     0.9710066137
## tuck     0.3572735638
## tug      0.6795214012
## tune     0.5625680203
## turf     0.2454477951
## turn     0.4251762005
## tusk     0.0658116943
## twain    0.0978503683
## tweed    0.4578676651
## twin     0.6639871295
## twinge  -0.4412745484
## twist    0.5855022323
## twitch   0.1012613522
## type     0.4288318014
## urge     0.4256918944
## urn     -0.3502132763
## use      0.7136931203
## vale    -1.0271371555
## valve    0.3815424027
## vamp    -0.4471003083
## van      0.3935456240
## vase     0.4220954210
## vault    0.5107748421
## veal     0.3529227751
## veer    -0.6595118309
## veil     0.3988018346
## vein     0.4377503798
## vent     0.3511095377
## verb     0.4553964383
## verge    0.0579961970
## verse    0.4312977501
## verve   -0.3482590258
## vest     0.1884937222
## vet     -0.0828050253
## vex      0.3173577662
## vice     0.2735327069
## vie     -0.6505831705
## view     0.4835578098
## vine     0.4084499752
## voice    0.6836048121
## volt     0.2403914702
## vote     0.4166767237
## vow      0.3341724827
## wad      0.3641875326
## wade     0.4046844035
## wag      0.4105905334
## wage     0.4241180925
## wail     0.3609623915
## waist    0.4136206644
## wait     0.5823737144
## waive    0.3929558755
## wake     0.4209682721
## walk     0.7077046833
## wall     0.5276454447
## waltz    0.6509983980
## wand     0.1503714846
## wane    -0.1184865954
## want     0.5262338942
## war      0.6884318348
## ward    -0.2024225128
## ware     0.2182219672
## warn     0.4744821828
## warp     0.3891875241
## wart     0.3426262731
## wash     0.4755088550
## wasp     0.4461385750
## waste    0.7027578728
## watch    0.5830571015
## watt     0.3337828516
## wave     0.4269790728
## wax      0.4372562106
## way      0.6728259728
## wealth   0.4153732039
## wear     0.4610994343
## weave    0.5523302490
## web      0.7070998702
## wed      0.6607343506
## wedge    0.4047926377
## weed     0.5291270392
## week     0.4565218502
## weep     0.4091887220
## weigh    0.4945272158
## weight   0.5197220282
## weld    -0.2306306286
## well     0.7054074569
## welt    -0.5614888197
## west    -0.6699577498
## whack    0.3511707699
## wharf    0.4691446493
## wheat    0.5157589833
## wheel    0.3904584404
## whelp   -1.0496900270
## whiff    0.0106696173
## while    0.5789656600
## whim     0.4059655880
## whine    0.3443370108
## whip     0.7116281818
## whirl    0.4091523982
## whit    -0.3489260686
## whiz     0.5311302684
## whoop   -0.2883259957
## whoosh   0.2112390970
## whore    0.4236323130
## whorl   -0.7627530485
## wick     0.3886820590
## wield    0.1400763917
## wife     0.7119029586
## wig      0.4292142124
## will     0.7054877192
## wilt     0.3228393861
## win      0.4242101484
## wine     0.7005649904
## wing     0.7190845171
## wink     0.5698492285
## wipe     0.6966418582
## wire     0.7111327937
## wish     0.6627542683
## wisp    -0.3559947047
## wit      0.4204796908
## witch    0.4439064670
## woe      0.4532896728
## wolf     0.6994288317
## womb     0.4044563243
## woo     -0.7929897168
## wood     0.4279273221
## wool     0.3494362172
## word     0.5798947642
## work     0.6443923195
## world    0.6758082892
## worm     0.4401197825
## would    0.6254040988
## wow      0.3868415563
## wrack    0.3888945360
## wrap     0.5123883472
## wrath    0.3522556691
## wreak    0.2258550272
## wreath   0.3077379071
## wreck    0.5146626362
## wren    -0.3500511922
## wrest    0.3548004346
## wretch   0.3960672498
## wring   -1.0044820911
## wrist    0.6380822668
## writ    -1.0976343576
## write    0.5198170323
## writhe   0.1387777447
## yacht   -0.0140847626
## yak     -1.3796354650
## yam      0.3766225683
## yang    -1.3796752708
## yank    -0.2650992783
## yard     0.4780938936
## yarn     0.4686981657
## yaw     -0.6183874180
## yawl    -0.6650962496
## yawn     0.4643977766
## yea      0.1520120392
## year     0.5082492774
## yearn    0.1105385909
## yeast    0.5000092140
## yell     0.4436131516
## yelp    -0.2186835663
## yen     -0.5178110963
## yes      0.7165871732
## yield    0.7090935202
## yoke     0.4853180111
## yolk     0.3441380481
## yore    -0.4843829130
## youth    0.5823842698
## zeal     0.2621717479
## zest     0.2401278634
## zinc     0.0612578299
## zing    -0.7560967377
## zip      0.5166070163
## zone     0.5840377042
## zoo      0.3840845368
coef(mdl.glmmSlope3)$`Word`[2]
##         RTlexdec_z
## ace       4.416057
## act       4.672691
## add       4.525501
## age       4.502646
## aid       4.346184
## aide      3.787507
## ail       2.947415
## aim       4.566887
## air       4.811148
## aisle     4.181648
## ale       4.328421
## angst     3.975172
## ant       4.595718
## ape       4.497242
## arc       3.025961
## arch      4.428734
## are       4.381015
## arm       5.235687
## art       4.541188
## ash       4.393576
## ask       4.727461
## ass       4.399752
## axe       4.368441
## babe      4.532783
## back      4.696240
## badge     4.394405
## bag       4.796537
## bail      4.032692
## bait      4.587586
## bale      2.904439
## ball      4.505471
## ban       3.598934
## band      4.384869
## bang      4.728292
## bank      4.654520
## bar       4.813773
## bard      2.808576
## barge     3.389762
## bark      4.725369
## barn      4.817145
## base      4.626783
## bash      4.340464
## bat       4.798937
## batch     4.563075
## bath      4.657404
## bay       4.551314
## beach     4.447312
## bead      4.039334
## beak      3.181608
## beam      4.335359
## bean      4.371576
## bear      5.125960
## beard     4.724604
## beast     4.364156
## beat      4.557423
## beau      3.698379
## beck      2.159507
## bed       4.528911
## bee       4.776918
## beech     3.019858
## beef      5.084783
## beep      4.569700
## beer      4.777455
## beet      4.165055
## beg       4.830640
## belch     3.715201
## bell      4.688271
## belt      4.497797
## bench     4.811264
## bend      4.778212
## berth     3.782824
## bet       4.832765
## bib       4.021454
## bid       4.833914
## bide      2.114584
## bile      3.998524
## bilge     2.353790
## bill      4.548958
## bin       3.811531
## bind      3.603142
## binge     4.153570
## birch     3.796498
## bird      4.621450
## bit       4.757644
## bitch     4.485533
## bite      4.815652
## blade     4.670922
## blame     4.538451
## blanch    2.992097
## blast     4.472936
## blaze     4.677071
## bleat     3.770057
## bleed     4.449590
## bleep     3.164292
## blend     4.593637
## bless     4.482008
## blight    3.959550
## blink     4.333076
## bliss     4.767431
## blitz     4.121419
## bloat     4.268957
## blob      4.115154
## block     4.620107
## bloke     2.758741
## blood     4.555146
## bloom     4.720888
## blot      4.420174
## blouse    4.143356
## blow      4.684314
## bluff     4.681233
## blur      4.330871
## blush     4.827212
## boar      3.444540
## board     4.647092
## boast     4.568385
## boat      4.822968
## bob       3.443944
## bog       3.907647
## boil      4.501525
## bolt      4.835091
## bomb      4.494988
## bond      4.649539
## bone      4.806338
## boo       4.404049
## book      4.385495
## boom      4.377424
## boon      3.255765
## boost     4.333208
## boot      4.596008
## booth     4.740046
## booze     4.451028
## bore      4.429444
## boss      4.643467
## bough     2.277368
## bounce    4.829121
## bound     4.443506
## bout      3.367800
## bowl      4.454499
## box       4.366085
## boy       4.757512
## brace     4.517886
## brad      2.225659
## brag      4.538988
## braid     4.317475
## brain     4.693125
## brake     4.831805
## bran      1.990163
## branch    4.411745
## brand     4.448178
## brass     4.769048
## brat      4.369940
## brawl     4.181196
## brawn     1.937309
## breach    3.348398
## bread     4.818906
## break     4.574641
## breast    4.415485
## breath    4.536264
## breed     4.551810
## breeze    4.784394
## brew      4.616395
## bribe     4.623794
## brick     4.410649
## bride     4.645244
## bridge    4.385905
## brig      2.057869
## brim      3.743967
## bring     4.807149
## brink     3.964064
## broach    2.414997
## broad     4.421926
## broil     4.536035
## bronze    4.683819
## brooch    3.465781
## brood     2.662766
## brook     3.313655
## broom     4.823600
## broth     2.505885
## brow      4.032191
## bruise    4.425792
## brunt     3.228467
## brush     4.399450
## brute     4.278260
## buck      4.111859
## bud       4.765227
## budge     4.343983
## buff      4.273787
## bug       4.818711
## build     4.698141
## bulb      4.578616
## bulge     4.360447
## bulk      4.837143
## bull      4.618617
## bum       4.455665
## bump      4.336999
## bun       4.345807
## bunch     4.676381
## bunk      3.562902
## burn      4.502228
## burr      3.573715
## burst     4.441472
## bus       4.707636
## bush      4.495392
## bust      4.630564
## butt      4.463562
## buy       4.740171
## buzz      4.589003
## cab       4.547664
## cad       2.243888
## cage      4.711607
## cake      4.753922
## calf      4.544732
## call      4.792643
## cam       4.315245
## camp      4.487682
## can       4.662522
## cane      4.372128
## cant      3.958181
## cap       4.562253
## cape      4.444188
## car       4.803942
## card      4.502030
## care      4.503377
## cart      4.413225
## carve     4.514852
## case      4.407415
## cash      4.791186
## cask      3.599850
## cast      4.595988
## caste     3.507504
## cat       4.602479
## catch     4.820771
## cause     4.604294
## cave      4.672808
## cease     4.354421
## cell      4.489051
## cent      4.426511
## chafe     1.778225
## chain     4.361320
## chair     4.817435
## chaise    2.394051
## chalk     4.714641
## champ     4.604983
## chance    4.830290
## change    4.624056
## chant     4.443521
## chap      4.258714
## char      1.606686
## charge    4.681023
## charm     4.828719
## chart     4.754411
## chase     4.813592
## chat      4.551129
## cheat     4.574038
## check     4.768567
## cheek     4.430269
## cheer     4.816055
## cheese    4.646284
## chef      4.713085
## chess     4.521142
## chest     4.541384
## chew      4.766926
## chide     2.172477
## chief     4.633793
## child     4.690551
## chime     4.432358
## chin      4.345599
## chip      4.783381
## chive     2.944704
## choice    4.758304
## choir     4.613167
## choke     4.468353
## chomp     2.888236
## choose    4.660427
## chop      5.261176
## chord     4.115723
## chore     4.224932
## chow      3.092332
## chrome    4.134981
## chuck     2.570554
## chum      2.234799
## chump     3.496075
## chunk     4.349149
## church    4.760869
## churn     4.032689
## chute     3.240012
## cinch     3.164876
## cite      4.062945
## claim     4.408465
## clam      4.403215
## clamp     4.332014
## clan      3.591098
## clang     4.170412
## clap      4.983942
## clash     4.366331
## class     4.661239
## clause    3.177828
## claw      4.505331
## clay      4.726177
## cleat     1.975943
## clench    3.404912
## clerk     4.402336
## click     4.564909
## cliff     4.686290
## climb     4.785212
## clinch    2.911671
## cling     4.505972
## clip      5.267364
## cloak     4.424305
## clock     4.685513
## clod      3.105757
## clog      3.524132
## clot      4.324373
## cloth     4.429665
## cloud     4.504938
## clout     4.178408
## clove     3.132701
## clown     4.711313
## club      4.341261
## cluck     2.973925
## clump     3.326821
## clutch    4.448763
## coach     4.767284
## coal      4.811095
## coast     4.784198
## coat      4.433978
## coax      4.083510
## cock      4.283487
## cod       4.189087
## code      4.344738
## coil      4.364150
## coin      4.649844
## coke      4.503766
## colt      3.934655
## comb      4.666422
## come      4.591393
## cone      4.333093
## cook      4.674941
## coop      3.168819
## cop       4.505765
## cope      4.578630
## cord      4.714616
## core      4.518246
## cork      4.797262
## corn      4.635132
## corps     3.931809
## corpse    4.545662
## cost      4.695008
## cot       3.752628
## couch     4.745654
## cough     4.492131
## count     5.241723
## coup      3.121269
## coupe     3.147706
## course    4.618199
## court     4.799859
## cove      4.191170
## cow       5.000620
## cowl      1.866945
## cox       4.465282
## crab      4.507335
## crack     4.580320
## craft     4.579460
## crag      3.200784
## cram      4.114087
## cramp     4.402177
## crane     4.320011
## crank     4.358548
## crap      4.471558
## crash     4.801666
## crate     3.836810
## crave     4.339571
## crawl     4.585396
## craze     4.428776
## creak     4.334431
## cream     4.574707
## crease    3.395871
## creed     4.495793
## creek     4.379963
## creep     4.647928
## crepe     3.009887
## crest     4.380218
## crew      4.590262
## crime     4.348022
## croak     3.868178
## crone     3.972153
## crook     4.595338
## croon     1.849593
## crop      4.618949
## cross     4.522663
## crouch    4.327197
## crow      4.676318
## crowd     4.426621
## crown     4.711312
## crumb     4.722949
## crunch    4.341466
## crush     4.691384
## crust     4.820743
## crutch    4.314102
## crux      2.395153
## cry       4.543471
## crypt     4.284774
## cub       4.221249
## cube      4.743950
## cud       2.289833
## cue       4.494289
## cuff      3.721795
## cull      3.368168
## cult      4.276448
## cup       4.763900
## cur       4.324408
## curb      4.339123
## curd      3.514894
## cure      4.407871
## curl      4.718983
## curse     4.629925
## curve     4.668542
## cusp      3.585630
## cut       4.799836
## cyst      2.110565
## czar      2.159583
## dad       4.725537
## dale      2.508866
## dam       4.170240
## dame      3.895042
## damn      4.361592
## damp      5.048917
## dance     4.822989
## dare      4.817235
## darn      4.029554
## dash      4.588586
## date      4.413353
## daunt     3.201042
## dawn      4.567778
## deal      4.832214
## dean      4.033539
## dearth    3.552360
## debt      4.660031
## deck      4.835637
## deed      4.589062
## deem      2.158332
## deer      4.718422
## dell      1.904399
## den       4.331709
## dent      4.336881
## desk      4.832832
## dial      4.405830
## dice      4.534108
## die       4.542501
## dig       4.748311
## dike      2.242336
## dill      3.291178
## dime      4.384838
## din       4.261023
## dine      3.971028
## dint      1.327730
## dip       4.593568
## dirge     3.927954
## dirt      4.730231
## disc      4.330737
## dish      5.026960
## ditch     4.366546
## dive      4.444468
## do        4.686774
## dock      5.196800
## dodge     4.436897
## doe       3.874138
## dog       4.666150
## dole      4.125537
## doll      4.369381
## dome      4.318991
## doom      4.361529
## door      4.760647
## dope      4.407833
## dose      4.372309
## doubt     4.606160
## dough     4.564599
## douse     2.080524
## draft     4.457750
## drag      4.787355
## drain     4.489240
## drake     3.079889
## dram      1.441138
## drape     4.079051
## draught   4.223874
## draw      4.488080
## drawl     4.359743
## dread     4.230253
## dream     4.818424
## dress     4.557900
## drift     4.327667
## drill     4.705807
## drink     4.778773
## drip      4.775866
## drive     4.750998
## drone     4.282294
## droop     2.931529
## drop      4.602497
## dross     4.237749
## drought   4.020058
## drove     4.227690
## drown     4.346661
## drum      4.670393
## duck      5.213787
## duct      3.020295
## dud       3.098192
## duel      4.532987
## dug       4.473819
## duke      4.344469
## dump      4.597243
## dun       4.327816
## dune      4.256147
## dung      2.347250
## dunk      3.632649
## dusk      4.567307
## dust      4.796466
## dwarf     4.339847
## dwell     4.138645
## ear       4.731805
## earl      3.773276
## earn      4.504059
## earth     4.706115
## ease      4.344952
## east      4.104875
## eat       4.563334
## ebb       3.336008
## edge      4.674155
## eel       3.864799
## egg       4.799617
## elk       4.355995
## elm       4.384302
## end       4.359693
## err       2.798536
## eve       4.360347
## ewe       2.729360
## face      4.758844
## fact      4.795824
## fad       4.056283
## fade      4.532710
## fail      4.334800
## fair      4.619721
## faith     4.827773
## fake      4.397618
## fame      4.328857
## fan       4.356172
## fang      3.686328
## farce     3.076037
## fare      4.237014
## farm      4.818226
## fast      4.697503
## fate      4.802079
## fault     4.704451
## fawn      4.072375
## faze      3.867926
## fear      4.793397
## feast     4.778498
## feat      4.121808
## fee       4.239089
## feed      4.510244
## feel      4.826176
## feint     3.499019
## fell      5.234420
## fen       3.847804
## fence     4.643681
## fern      3.192961
## fetch     4.712911
## feud      4.253878
## fiend     2.375716
## fife      2.255600
## fig       4.274043
## fight     4.377581
## file      4.605256
## fill      4.216091
## film      4.616090
## filth     3.949681
## fin       4.250668
## find      4.546241
## fine      4.365434
## fink      3.060520
## fir       3.851221
## fire      4.804461
## firm      4.754397
## fish      4.766502
## fist      3.835710
## fix       4.788168
## flag      4.770278
## flail     1.986987
## flair     4.005273
## flake     4.268929
## flame     4.679304
## flange    1.833551
## flank     3.968721
## flare     4.655839
## flask     4.468052
## flaw      4.454721
## flax      3.602689
## flea      4.486370
## fleck     2.734244
## flee      4.318579
## fleet     4.263929
## flesh     4.569137
## flex      4.477068
## flick     4.277575
## flight    4.352475
## fling     4.408744
## flint     4.304354
## flip      4.372621
## flirt     4.697801
## float     4.438708
## flock     4.506116
## floe      2.978721
## flog      4.133371
## flood     4.832102
## floor     4.684335
## flop      3.998505
## flour     4.727979
## flow      4.338855
## fluff     4.379125
## fluke     4.405468
## flush     4.561703
## flute     4.371766
## flux      4.011282
## fly       5.245429
## foal      3.517124
## foam      4.481824
## foe       4.479539
## fog       4.466750
## foil      4.478104
## fold      4.786968
## folk      4.600788
## font      3.065231
## food      4.624302
## fool      4.826378
## foot      4.763897
## force     4.363832
## ford      3.707888
## forge     3.808989
## fork      4.717410
## form      4.384230
## fort      3.555419
## found     4.777254
## fowl      4.798537
## fox       4.827972
## frame     4.231973
## fraud     4.022254
## fray      3.595194
## freak     4.576402
## freeze    4.428336
## freight   4.213678
## fret      2.827264
## friend    4.630446
## frieze    3.623838
## fright    4.342857
## frill     4.018600
## fringe    4.231505
## frock     3.333881
## frog      4.648457
## front     4.764271
## frost     4.393849
## froth     2.570111
## frown     4.332181
## fruit     4.747315
## fry       4.983799
## fuel      4.766944
## full      4.664999
## fun       4.619383
## fund      4.375831
## funk      4.210096
## fur       4.661085
## fuse      4.248458
## fuss      4.386371
## fuzz      3.584198
## gab       3.397735
## gag       3.685977
## gain      4.368117
## gait      3.065816
## gal       2.945896
## gale      3.761217
## gall      3.765631
## game      4.765789
## gang      4.446783
## gap       4.563765
## garb      2.712884
## gas       4.336957
## gash      2.500143
## gasp      4.338808
## gate      4.258427
## gauge     3.383509
## gauze     3.231018
## gay       4.365705
## gaze      4.245266
## gear      4.701233
## gel       4.224081
## gem       4.433397
## gene      3.891438
## get       4.616637
## ghost     4.632241
## ghoul     2.766751
## gibe      3.658583
## gift      4.822339
## gig       2.888942
## gill      1.837128
## gilt      3.302224
## gin       4.351231
## gird      4.319472
## girl      4.452744
## gist      3.082783
## give      4.817844
## glance    4.492931
## gland     4.357594
## glare     4.805362
## glass     4.795034
## glaze     4.479342
## gleam     3.583878
## glean     1.842479
## glee      3.853053
## glen      3.300354
## glide     4.305858
## glimpse   4.360083
## glint     3.816922
## gloat     3.539050
## globe     4.202406
## gloom     4.618677
## gloss     4.735816
## glove     4.349280
## glow      4.343430
## glue      4.580121
## gnaw      3.545663
## gnome     2.517041
## go        4.508293
## goad      4.209688
## goal      4.733103
## goat      4.501400
## gob       2.202105
## god       4.331781
## gold      4.356858
## golf      4.311987
## gong      3.268785
## goon      1.950402
## goose     4.348627
## gore      2.708426
## gouge     2.691183
## gourd     2.667397
## gout      3.393536
## gown      4.225872
## grab      4.369885
## grace     4.628878
## grade     4.482157
## graft     3.707322
## grail     2.728491
## grain     4.420725
## gram      3.498294
## grant     4.599263
## grape     4.554693
## graph     4.463114
## grasp     4.449222
## grass     4.382417
## grate     3.989649
## grave     4.590460
## graze     4.247465
## grease    4.375439
## greed     4.467138
## greet     3.151728
## grid      4.300824
## grill     4.347348
## grille    2.333571
## grime     3.916718
## grin      4.183454
## grind     4.467283
## grip      4.327342
## gripe     3.585241
## grist     2.492373
## grit      3.184158
## groan     4.413399
## groin     3.811751
## groom     4.650474
## groove    4.414855
## grope     3.540658
## grouch    3.888554
## ground    4.758056
## group     4.574621
## grouse    3.785540
## grove     3.888109
## grow      4.833568
## growl     4.380306
## grub      2.907747
## grudge    4.222811
## grunt     4.264346
## guard     4.808927
## guess     4.497816
## guest     4.543747
## guide     4.829237
## guild     3.447283
## guile     3.016521
## guilt     4.385048
## guise     3.439427
## gulf      4.018356
## gull      2.863111
## gulp      4.452891
## gum       4.366753
## gun       4.618468
## gush      3.896270
## gust      3.634422
## gut       4.211547
## guy       4.424781
## gyp       3.504937
## hack      4.283798
## hag       4.315329
## hail      4.784722
## hair      4.379470
## hall      4.506815
## halt      4.805977
## ham       4.829773
## hand      4.794042
## hang      4.678786
## hank      4.193900
## hark      4.233114
## harm      4.396810
## harp      4.652329
## hart      4.041718
## hash      4.228765
## haste     4.757885
## hat       4.515547
## hatch     4.646828
## hate      4.818769
## haul      4.829770
## haunt     3.785568
## have      4.713456
## haw       4.179878
## hawk      4.464755
## hay       4.827422
## haze      4.505121
## head      4.830696
## heal      4.511403
## heap      4.478364
## hear      4.675941
## heart     4.789872
## hearth    4.339224
## heat      4.699271
## heave     3.975851
## heck      4.129029
## hedge     4.166392
## heed      4.075559
## heel      4.462994
## height    4.517165
## heir      4.497517
## hell      4.533527
## helm      2.953365
## help      4.832449
## hem       3.891282
## hen       4.357255
## herb      4.276599
## herd      4.451189
## hick      4.260836
## hide      5.257060
## hike      4.655905
## hill      4.796216
## hilt      4.247525
## hind      4.243252
## hinge     4.329807
## hint      4.671685
## hip       4.779479
## hire      4.596276
## hiss      3.883866
## hit       4.503940
## hitch     3.552591
## hive      4.124214
## hob       4.357132
## hoe       4.533261
## hog       5.185818
## hoist     4.377115
## hold      4.723972
## hole      4.744367
## home      4.448297
## hone      2.372087
## hooch     4.274729
## hood      4.676410
## hoof      4.430720
## hook      4.493886
## hoop      4.388945
## hoot      4.443625
## hop       4.492332
## hope      4.725635
## horn      4.812493
## horse     4.263629
## hose      4.476952
## host      4.695919
## hound     4.397397
## hour      4.447092
## house     4.469361
## howl      4.688669
## hub       3.830978
## hue       4.389936
## huff      4.283572
## hug       4.711461
## hulk      4.655511
## hull      4.297173
## hum       4.333604
## hump      3.729224
## hunch     4.112635
## hunk      4.381851
## hunt      4.647632
## hurl      4.634227
## hurt      4.631861
## hush      4.365132
## hut       4.806102
## hymn      4.313918
## ice       4.821789
## inch      4.698713
## ink       4.832674
## inn       4.371587
## ire       4.193131
## isle      3.996192
## itch      3.663997
## jab       3.927372
## jack      4.683204
## jade      4.269969
## jag       4.061460
## jail      4.803955
## jam       4.793420
## jape      4.324016
## jar       4.581125
## jaw       4.599277
## jazz      4.539491
## jeep      4.741771
## jeer      4.377572
## jerk      4.590234
## jest      4.314017
## jet       4.672017
## jig       4.367386
## job       4.338494
## jog       4.825836
## join      4.386936
## joke      4.826674
## jolt      4.366695
## jot       4.204958
## joust     4.069476
## jowl      3.513496
## joy       4.491399
## judge     4.633194
## jug       4.667485
## juice     4.824480
## jump      4.496950
## junk      4.755344
## jute      2.685725
## kale      2.378666
## keel      4.260283
## keen      4.249516
## keep      4.553172
## keg       4.567605
## kelp      2.301999
## ken       4.150845
## key       4.361211
## kick      4.435122
## kid       4.887026
## kill      4.826968
## kilt      3.182298
## kin       4.297009
## kind      4.528883
## king      4.702257
## kiss      4.806383
## kit       4.416408
## kite      4.732919
## knack     2.944890
## knead     4.406184
## knee      4.799150
## kneel     4.279970
## knife     4.788215
## knight    4.479171
## knit      4.632571
## knob      4.755228
## knock     4.673209
## knoll     3.637351
## knot      4.804559
## know      4.754476
## lace      4.817906
## lack      4.511694
## lad       4.582609
## lag       4.336198
## lake      4.826747
## lamb      4.410680
## lame      4.823181
## lamp      4.732958
## lance     3.490486
## land      4.694206
## lane      4.742106
## lap       5.206437
## lapse     4.489402
## lard      4.269174
## lark      4.428026
## lash      4.412558
## lass      2.530866
## last      4.229438
## latch     4.484428
## lath      1.675893
## lathe     4.287222
## laugh     4.504748
## launch    4.423966
## law       4.692022
## lawn      4.328088
## lay       4.602886
## laze      4.329335
## leaf      4.660242
## leak      4.826867
## lean      4.619627
## leap      4.347430
## learn     3.793397
## lease     4.821051
## leash     4.799366
## leave     4.730773
## ledge     4.361765
## lee       3.399659
## leg       4.320709
## lend      4.789383
## lens      4.410116
## let       4.338308
## lick      4.549965
## lid       4.626880
## lie       4.725186
## life      4.800757
## lift      4.613279
## light     4.813596
## like      4.801141
## lilt      4.347442
## limb      4.731773
## lime      4.441017
## limp      4.570637
## line      4.116515
## link      4.490544
## lint      4.221013
## lip       4.820945
## lisle     1.709076
## list      4.647590
## load      4.717615
## loaf      4.697254
## loan      4.657545
## lob       3.910114
## lobe      3.897114
## lock      4.775326
## lodge     4.689315
## loft      4.296173
## log       4.448055
## loin      4.332125
## look      4.829358
## loom      3.617238
## loon      3.646200
## loop      4.770469
## loot      4.423560
## lop       4.290992
## lope      4.318002
## lord      4.835672
## lore      4.153601
## lose      4.488597
## loss      4.670919
## lot       4.778518
## lounge    4.376790
## louse     3.302761
## love      4.815691
## low       4.774050
## luck      4.584061
## lug       4.457102
## lull      3.680070
## lump      4.720490
## lung      4.344878
## lurch     2.933876
## lure      4.354080
## lurk      4.304543
## lust      4.391371
## lute      4.332720
## lye       2.700190
## lymph     3.438636
## lynch     4.114684
## maid      4.761425
## mail      4.438845
## make      4.827275
## mall      4.345208
## malt      4.572023
## man       4.826995
## mane      4.276041
## manse     4.320914
## map       4.829260
## mar       3.659355
## march     5.025326
## mare      3.665222
## mark      4.415676
## marsh     3.634131
## mart      3.741048
## mash      4.391595
## mask      4.808396
## mass      4.400138
## mast      4.425648
## mat       4.393529
## match     4.642591
## mate      4.547665
## maw       4.331761
## may       4.454092
## maze      4.530489
## mead      3.960973
## meal      4.812975
## mean      4.380340
## meat      4.463617
## meet      4.708289
## meld      4.368565
## melt      4.740968
## mend      4.454709
## merge     4.446008
## mesh      4.455022
## mess      4.232868
## mew       2.210114
## might     4.381969
## mile      4.577229
## milk      4.533182
## mill      4.218256
## mime      2.793830
## mince     2.960174
## mind      4.801498
## mine      4.352628
## mink      3.432363
## mint      4.539522
## mirth     3.841182
## miss      4.554551
## mist      4.647187
## mite      3.352705
## mitt      3.883382
## mix       4.708658
## moan      4.340058
## mob       4.782952
## mock      4.389692
## mode      4.224563
## mole      4.605425
## moll      3.205782
## mom       4.658750
## monk      4.703126
## month     4.772032
## moo       4.061863
## mood      4.507656
## moon      4.349121
## moose     4.463505
## moot      3.694419
## mop       4.661377
## moss      4.490232
## moth      3.450856
## mould     3.699780
## mount     4.670176
## mourn     4.636393
## mouse     4.473900
## mouth     4.723708
## move      4.695824
## mow       4.079849
## muck      3.033213
## mud       4.799811
## muff      3.772033
## mug       4.743483
## mulch     3.790083
## mule      4.387014
## mum       3.473536
## munch     3.866212
## muse      3.508621
## mush      3.836088
## must      4.611735
## myth      4.336778
## nab       3.091956
## nail      4.348517
## name      4.347894
## nap       4.393517
## nape      3.648428
## naught    2.781396
## neck      4.661157
## need      4.779754
## nerve     4.339241
## nest      4.521404
## news      4.688042
## newt      3.696725
## nick      2.618296
## niece     4.373940
## night     4.395511
## nil       2.133689
## nip       3.643911
## nod       4.276919
## node      4.036599
## noise     4.673952
## nonce     4.274064
## nook      3.044409
## noon      4.329415
## noose     4.202254
## norm      4.339063
## north     4.482381
## nose      4.401422
## notch     4.219440
## note      4.349222
## noun      3.788377
## nudge     3.868801
## nun       4.339301
## nurse     4.392797
## nut       4.763943
## nymph     4.229243
## oak       4.816147
## oath      4.357185
## oil       4.826824
## ooze      4.058761
## orb       2.533531
## ore       3.906642
## ought     4.323016
## ounce     4.338569
## oust      2.869967
## owl       4.824889
## pace      4.478018
## pack      4.808568
## pact      4.676952
## pad       4.731117
## page      4.783722
## pail      4.367083
## pain      4.499357
## paint     4.826868
## pair      4.829898
## pal       4.775265
## pale      4.814319
## pall      4.331320
## palm      4.756999
## pan       4.649414
## pane      4.166220
## pang      2.712928
## pant      4.663247
## pap       3.714786
## par       3.604518
## pare      3.377817
## park      4.693325
## part      4.753235
## pass      4.444818
## paste     4.660691
## pat       4.832477
## patch     4.697866
## pate      4.334181
## path      4.786469
## paunch    3.073094
## pause     4.688107
## pave      4.245229
## paw       4.454331
## pawn      4.352772
## pay       4.812411
## pea       4.825084
## peace     4.646028
## peach     4.408527
## peak      4.625898
## peal      4.339030
## pear      4.655576
## pearl     4.824769
## peat      3.571575
## peck      4.612864
## pee       4.282803
## peel      4.637586
## peep      4.388318
## peer      4.676705
## peg       4.572383
## pelt      3.175693
## pen       4.684014
## perch     3.908587
## perk      4.334940
## pest      4.311720
## pet       4.774010
## pew       3.459224
## phase     4.348069
## phrase    4.360073
## pick      4.731805
## pie       4.766250
## piece     4.514216
## pier      4.364287
## pierce    4.346129
## pig       4.825260
## pike      4.616956
## pile      4.834221
## pill      4.391134
## pimp      4.378813
## pin       4.354489
## pinch     4.357923
## pine      4.729767
## pint      4.315949
## pip       3.377936
## pipe      4.826946
## piss      4.330467
## pit       4.546575
## pitch     4.623344
## pith      3.742495
## place     4.811676
## plaid     4.687620
## plain     4.328490
## plan      4.801605
## plane     4.331055
## plank     3.975434
## plant     4.488348
## plate     4.654556
## play      4.789437
## plea      4.512299
## plead     4.747816
## please    4.822363
## pleat     3.346758
## pledge    4.409025
## plod      3.064928
## plot      4.800153
## plough    4.029343
## pluck     4.491835
## plug      4.438050
## plum      4.835614
## plume     3.536436
## plunge    4.477653
## plush     4.580711
## poach     3.114203
## pod       4.209493
## point     4.786739
## poise     4.373261
## poke      4.485834
## pole      4.550446
## poll      4.480919
## pomp      4.191251
## pond      4.550101
## pool      4.826429
## pop       4.700729
## pope      4.778164
## porch     4.453893
## pore      3.866062
## pork      4.780752
## port      4.140662
## pose      4.546787
## post      4.540591
## pot       4.798342
## pouch     4.351897
## pound     5.239679
## pour      4.498899
## pout      3.471913
## praise    4.563322
## prank     4.477593
## pray      4.603920
## preach    3.671397
## prep      4.122529
## press     4.620032
## prey      4.543947
## price     4.833018
## prick     4.336485
## pride     4.827665
## priest    4.155248
## prime     4.601115
## prince    4.338189
## print     4.807925
## prize     4.680041
## probe     4.461384
## prod      2.998857
## prop      3.898986
## prose     4.019208
## prove     4.247111
## prow      3.509156
## prowl     4.422597
## pry       4.050742
## psalm     3.562436
## pub       4.651034
## puck      4.275935
## puff      4.466276
## puke      3.838093
## pull      4.590955
## pulp      4.434812
## pulse     4.752689
## pump      4.483249
## pun       3.654779
## punch     4.644295
## punk      4.566504
## punt      4.305487
## pup       4.612579
## purge     4.370778
## purse     4.440302
## pus       4.058800
## push      4.337118
## put       4.488895
## putt      4.253883
## pyre      3.165450
## quack     4.387730
## quake     4.088666
## quart     4.302993
## quartz    4.375918
## quay      4.336768
## queen     4.466669
## quell     2.141983
## quench    3.958772
## quest     4.335827
## queue     2.954870
## quill     4.210156
## quince    2.439060
## quirk     4.268296
## quiz      4.401503
## quote     4.596749
## race      4.761840
## rack      4.401880
## raft      4.285257
## rag       4.385363
## rage      4.805094
## raid      4.738494
## rail      4.397861
## rain      4.665462
## raise     4.505328
## rake      4.673476
## ram       3.717822
## ranch     4.792226
## range     4.642427
## rank      4.365914
## rant      3.612252
## rap       4.437390
## rape      4.505345
## rash      4.761828
## rasp      3.676313
## rat       4.759964
## rate      4.564195
## rave      4.477349
## ray       4.343305
## reach     4.828840
## realm     4.383107
## ream      2.611859
## reap      4.007352
## rear      4.653498
## reed      3.735852
## reef      3.442006
## reek      3.986619
## reel      3.503031
## reign     4.317823
## rein      3.452537
## rend      4.320258
## rent      4.568921
## rest      4.811052
## retch     1.788430
## rhyme     4.312132
## rib       4.714688
## rice      4.826452
## ride      4.459612
## ridge     4.292688
## rift      3.759078
## rig       4.092182
## right     4.752429
## rile      3.015643
## rim       4.402460
## rime      2.309044
## rind      3.764090
## ring      4.932534
## rink      3.673791
## rinse     4.685921
## rip       4.381727
## rise      4.831375
## risk      4.599688
## rite      3.882130
## roach     4.453351
## road      4.817405
## roam      4.522205
## roar      4.617853
## roast     4.378593
## rob       4.511249
## robe      4.383084
## rock      5.158381
## rod       4.515645
## roe       3.653124
## role      4.583335
## roll      4.366405
## romp      4.017261
## roof      4.823380
## rook      3.320628
## room      4.835116
## roost     4.536986
## root      4.706541
## rope      4.643560
## rose      4.789394
## rot       4.377337
## rouse     2.612718
## rout      3.415981
## rove      2.434316
## rub       4.830873
## rue       3.793251
## rug       4.622060
## rule      4.708297
## rum       4.476163
## rump      4.248093
## run       4.379276
## rung      3.730126
## runt      2.820320
## ruse      3.006440
## rush      4.709981
## rust      4.478627
## rut       3.878840
## rye       4.274180
## sack      4.354687
## sag       4.347097
## sail      4.739830
## saint     4.642168
## sake      4.206845
## sale      4.417528
## salt      4.830431
## salve     4.075024
## sand      4.662749
## sap       3.875829
## sash      3.984147
## sauce     4.667925
## save      4.652648
## saw       4.336322
## sax       3.418439
## say       4.423136
## scald     3.171035
## scale     4.555877
## scalp     4.787885
## scan      4.303330
## scar      4.381461
## scare     4.342680
## scarf     4.410910
## scene     4.478636
## scent     4.782674
## scheme    4.412077
## school    4.500236
## scoop     4.442533
## scope     4.381413
## score     4.655141
## scorn     4.350604
## scotch    4.222965
## scour     3.953407
## scourge   4.275937
## scout     4.275633
## scrap     4.322831
## scrape    4.340745
## scratch   4.390502
## scream    4.346091
## screech   3.753671
## screen    4.394718
## screw     4.770940
## scribe    4.302743
## script    4.828457
## scrub     4.330043
## scuff     2.984153
## sea       4.689873
## seal      4.389859
## seam      3.222814
## sear      3.319565
## search    4.355479
## seat      4.571981
## sect      2.372872
## see       4.607868
## seed      4.532446
## seek      4.828452
## seem      4.363680
## seep      3.378635
## seize     4.699996
## self      4.828743
## sell      4.352671
## send      4.494887
## sense     4.547584
## serf      3.641090
## serge     3.525279
## serve     4.384181
## set       5.213376
## sew       4.488421
## sex       4.679274
## shack     4.474131
## shade     4.607581
## shaft     4.361455
## shag      3.857327
## shah      3.522537
## shake     4.657487
## shall     4.263806
## sham      3.816607
## shame     4.461457
## shank     3.293424
## shape     4.738238
## shard     3.104279
## share     4.813552
## shark     4.779522
## shave     4.486109
## shawl     3.853271
## shay      4.049811
## sheaf     3.218931
## shear     4.197872
## sheath    3.666876
## shed      4.420592
## sheen     3.319230
## sheep     4.502368
## sheer     4.169931
## sheet     4.817627
## shelf     4.665188
## shell     4.796984
## shield    4.796795
## shift     4.496530
## shin      3.521716
## shine     4.341052
## ship      4.693822
## shirt     4.439208
## shoal     3.161342
## shock     4.427135
## shoe      4.388854
## shoot     4.582019
## shop      4.644763
## shore     4.373601
## shot      4.389996
## should    4.761739
## shout     4.625731
## shove     4.376115
## show      4.538950
## shred     4.336124
## shrimp    4.524727
## shrine    3.354268
## shrink    4.432770
## shrub     4.346742
## shrug     3.973296
## shuck     1.556665
## shun      3.563145
## shunt     2.104715
## shut      4.349149
## side      4.441788
## siege     4.234596
## sigh      4.040942
## sight     4.447457
## sign      4.370354
## silk      4.374011
## sill      2.303653
## sin       4.375110
## sine      2.829561
## sing      4.774664
## sink      4.617136
## sip       4.724650
## sir       4.272278
## sit       4.759278
## site      4.374645
## size      4.756664
## skate     4.675037
## skeet     2.603816
## sketch    4.389649
## ski       4.402725
## skid      4.014076
## skiff     4.335898
## skill     4.582817
## skin      4.342622
## skip      4.456142
## skirt     4.395268
## skit      4.613086
## skulk     4.304258
## skull     4.729332
## skunk     4.262411
## sky       4.823698
## slab      3.897558
## slam      4.404539
## slang     4.430177
## slant     4.318782
## slap      4.493120
## slash     4.324562
## slat      3.634181
## slate     4.126166
## slave     4.708782
## sleep     4.455475
## sleeve    4.727484
## slice     4.775952
## slide     4.520688
## slip      4.830018
## slit      4.232977
## slob      4.359407
## sloe      2.949398
## sloop     4.026888
## slop      3.301363
## slope     4.321913
## slot      4.456262
## slouch    4.070016
## slough    3.483545
## sludge    2.914095
## slug      4.337264
## sluice    2.198928
## slum      3.758160
## slump     4.402833
## smack     4.415883
## smart     4.586228
## smash     4.611921
## smear     4.763148
## smell     4.834562
## smelt     2.854917
## smile     4.771648
## smirk     4.287183
## smoke     4.805569
## snack     4.341739
## snag      4.511233
## snail     4.342523
## snake     4.540464
## snap      4.612616
## snare     4.394196
## snatch    4.365273
## sneak     4.462835
## sneer     4.415622
## sniff     4.340424
## snip      4.222749
## snob      4.371394
## snoop     4.365927
## snort     4.233134
## snout     4.052188
## snow      4.480365
## snug      4.333866
## soak      4.746298
## soap      4.811663
## sob       4.322264
## sock      4.403144
## sod       4.123237
## sole      4.481123
## solve     4.351554
## son       4.351486
## song      4.584743
## soot      2.849824
## soothe    4.081823
## sop       1.978438
## sort      4.479961
## soul      4.757902
## sound     4.765881
## soup      4.579549
## source    4.765987
## south     3.841391
## soy       4.203400
## spa       4.194141
## space     4.758695
## spade     4.454674
## span      4.336751
## spare     4.273800
## spark     4.739620
## spat      4.243039
## spate     2.642178
## speak     4.417230
## spear     4.557647
## speck     3.326948
## speech    4.548986
## speed     4.620166
## spell     5.204854
## spend     4.825576
## sphere    4.357191
## sphinx    4.319784
## spice     4.357952
## spike     4.812873
## spill     4.826936
## spin      4.818556
## spine     4.479733
## spire     3.800876
## spit      4.494021
## spite     4.000695
## splash    4.589691
## spleen    2.840740
## splice    3.393871
## split     4.593807
## splurge   3.589676
## spoil     4.585073
## spoke     4.788934
## spoof     3.364560
## spool     4.815007
## spoon     4.394165
## sport     4.557597
## spot      4.509833
## spouse    4.434166
## spout     4.326144
## sprawl    4.344203
## spray     4.344747
## spread    4.380792
## spree     3.057146
## sprig     2.740390
## spring    4.582966
## sprite    3.333467
## sprout    4.463541
## spur      4.346786
## spurt     3.599750
## spy       4.523433
## squad     4.342193
## squall    3.600676
## square    4.409035
## squash    4.364019
## squat     4.041085
## squaw     3.138642
## squawk    3.551130
## squeak    4.387230
## squeal    4.345426
## squeeze   4.443207
## squint    4.393196
## squire    3.825493
## squirm    4.400830
## squirt    4.349212
## stab      4.385011
## stack     4.442110
## staff     4.727539
## stag      4.618927
## stage     4.541125
## stain     4.343468
## stair     4.459026
## stake     4.228019
## stalk     4.414376
## stall     4.697795
## stamp     4.467709
## stance    4.257876
## stanch    4.334780
## stand     4.618315
## star      4.567397
## starch    4.521781
## stare     4.451889
## start     4.479540
## starve    4.397043
## state     4.503575
## staunch   2.948965
## stave     3.420096
## stay      4.775454
## stead     3.735994
## steak     4.368333
## steal     4.739672
## steam     4.341049
## steed     3.474292
## steel     4.424085
## steer     4.348356
## stem      4.347498
## stench    3.523637
## step      4.823074
## stew      4.833830
## stick     4.611781
## still     4.737914
## stilt     3.192664
## sting     4.355519
## stink     4.394524
## stint     4.298784
## stir      4.820379
## stitch    3.822115
## stock     4.826967
## stole     4.740516
## stone     4.386602
## stool     4.822633
## stoop     3.521249
## stop      4.593229
## store     4.578264
## stork     4.415812
## storm     4.576993
## stout     4.299688
## stove     4.513963
## stow      3.574158
## strafe    3.538503
## strain    4.553801
## strand    4.265074
## strap     4.358877
## straw     4.770263
## stray     4.693557
## streak    4.448303
## stream    4.338573
## street    4.434301
## stress    4.799725
## stretch   4.430776
## stride    4.560066
## strife    4.033686
## strike    4.796630
## string    4.453136
## strip     4.735648
## stripe    4.525003
## strive    4.337228
## stroke    4.442228
## stroll    4.353426
## strut     3.608365
## stub      4.247484
## stud      4.530621
## stuff     4.591115
## stump     4.482487
## stunt     4.326607
## style     4.838429
## sub       2.407412
## suck      4.347528
## sue       4.186830
## suit      4.533752
## suite     4.443892
## sulk      3.616008
## sum       4.401811
## sun       4.429307
## sup       4.330908
## surf      4.385481
## surge     4.153779
## swamp     4.347571
## swan      4.342409
## swap      3.925253
## swarm     4.380212
## swath     3.168313
## sway      4.376083
## swear     4.623988
## sweat     4.608800
## sweep     4.383761
## swell     4.811156
## swerve    4.333655
## swig      3.591802
## swim      4.581021
## swine     4.406622
## swing     4.826204
## swipe     4.364723
## swirl     4.336687
## switch    4.452421
## swoop     3.758159
## sword     4.760783
## tab       4.450962
## tack      4.231918
## tact      4.630349
## tag       4.435644
## tail      4.436022
## taint     4.365213
## take      4.751772
## tale      4.574729
## talk      4.424548
## tamp      4.010247
## tan       4.427122
## tang      3.580019
## tank      4.336688
## tape      4.687344
## tar       4.621874
## tart      4.345213
## task      4.801479
## taste     4.751141
## taunt     4.342209
## tax       4.745334
## tea       4.802286
## teach     4.589241
## teak      4.321418
## team      4.780031
## tease     4.628801
## tech      2.077681
## tee       4.427536
## teens     4.336353
## tell      4.677712
## tempt     4.691189
## tend      4.337396
## tense     4.586275
## tent      4.797686
## test      4.650053
## text      4.764991
## thank     4.724013
## thaw      4.378224
## theft     4.424754
## theme     4.437978
## thief     4.413191
## thigh     4.761594
## thin      4.552271
## thing     4.499024
## think     4.835368
## thirst    4.818657
## thong     3.745994
## thorn     4.837409
## thought   4.554718
## thrash    4.279008
## thread    4.650779
## threat    4.380702
## thrift    4.445279
## thrill    4.436805
## thrive    4.406335
## throat    4.828745
## throne    3.949084
## throng    2.947647
## throw     4.416762
## thrush    3.373254
## thrust    4.289775
## thud      3.976672
## thug      4.325431
## thumb     4.828406
## thump     4.328222
## thwack    1.641269
## thwart    2.803069
## tick      4.480504
## tide      4.724057
## tie       4.828294
## tile      4.649943
## till      3.873158
## tilt      4.747660
## time      4.770847
## tin       4.344017
## tint      4.461519
## tip       4.736261
## tire      4.831420
## toad      4.731543
## toast     4.678327
## toe       4.365516
## toil      4.376396
## toll      4.270961
## tomb      4.827981
## tome      4.289157
## ton       4.335022
## tone      4.621397
## tongue    4.741392
## tool      4.815663
## toot      3.221675
## tooth     4.582663
## top       4.611880
## torch     4.385474
## torque    4.009826
## toss      4.707492
## tote      3.220121
## touch     4.817059
## tour      4.689482
## tout      3.597165
## town      4.756235
## toy       4.824570
## trace     4.680401
## track     4.667524
## tract     4.376919
## trade     4.787484
## trail     4.348137
## train     4.775442
## trait     4.282311
## tramp     4.265415
## trance    4.096469
## trap      4.585343
## trash     4.430512
## tray      3.979537
## tread     4.074591
## treat     4.630594
## tree      4.826805
## trench    4.358456
## trend     4.413817
## tribe     4.279867
## trick     4.409949
## trill     2.232135
## trip      4.608044
## tripe     4.120321
## troll     3.273823
## troop     3.981385
## trot      3.232997
## trough    2.220459
## trout     4.662705
## truce     3.950652
## truck     4.443968
## trump     3.557042
## trunk     4.764736
## trust     4.566221
## try       4.706726
## tryst     2.686733
## tub       4.664970
## tube      5.219550
## tuck      4.285743
## tug       4.776049
## tune      4.598102
## turf      4.115597
## turn      4.389058
## tusk      3.842277
## twain     3.891025
## tweed     4.438799
## twin      4.752414
## twinge    3.070735
## twist     4.632997
## twitch    3.896215
## type      4.394620
## urge      4.389843
## urn       3.209286
## use       4.828042
## vale      2.179332
## valve     4.322668
## vamp      3.061871
## van       4.340931
## vase      4.384370
## vault     4.519298
## veal      4.279123
## veer      2.738682
## veil      4.348929
## vein      4.408190
## vent      4.276364
## verb      4.435039
## verge     3.830386
## verse     4.398372
## verve     3.212260
## vest      4.028941
## vet       3.616154
## vex       4.225010
## vice      4.158329
## vie       2.752267
## view      4.477887
## vine      4.363609
## voice     4.782262
## volt      4.107904
## vote      4.376126
## vow       4.250594
## wad       4.296262
## wade      4.357879
## wag       4.366866
## wage      4.387448
## wail      4.291355
## waist     4.371476
## wait      4.628237
## waive     4.340034
## wake      4.382655
## walk      4.818931
## wall      4.544967
## waltz     4.732651
## wand      3.970937
## wane      3.561864
## want      4.542819
## war       4.789607
## ward      3.434153
## ware      4.074173
## warn      4.464078
## warp      4.334300
## wart      4.263456
## wash      4.465640
## wasp      4.420953
## waste     4.811404
## watch     4.629277
## watt      4.250001
## wave      4.391801
## wax       4.407438
## way       4.765862
## wealth    4.374142
## wear      4.443716
## weave     4.582525
## web       4.818011
## wed       4.747465
## wedge     4.358044
## weed      4.547221
## week      4.436751
## weep      4.364733
## weigh     4.494577
## weight    4.532911
## weld      3.391234
## well      4.815435
## welt      2.887826
## west      2.722788
## whack     4.276457
## wharf     4.455957
## wheat     4.526881
## wheel     4.336234
## whelp     2.145018
## whiff     3.758377
## while     4.623052
## whim      4.359829
## whine     4.266059
## whip      4.824901
## whirl     4.364677
## whit      3.211245
## whiz      4.550269
## whoop     3.303449
## whoosh    4.063548
## whore     4.386709
## whorl     2.581598
## wick      4.333531
## wield     3.955273
## wife      4.825319
## wig       4.395202
## will      4.815558
## wilt      4.233350
## win       4.387588
## wine      4.808068
## wing      4.836245
## wink      4.609181
## wipe      4.802099
## wire      4.824147
## wish      4.750538
## wisp      3.200490
## wit       4.381912
## witch     4.417556
## woe       4.431833
## wolf      4.806339
## womb      4.357532
## woo       2.535593
## wood      4.393244
## wool      4.273818
## word      4.624465
## work      4.722600
## world     4.770400
## worm      4.411795
## would     4.693709
## wow       4.330731
## wrack     4.333855
## wrap      4.521753
## wrath     4.278108
## wreak     4.085787
## wreath    4.210373
## wreck     4.525213
## wren      3.209533
## wrest     4.281980
## wretch    4.344768
## wring     2.213803
## wrist     4.712999
## writ      2.072069
## write     4.533056
## writhe    3.953297
## yacht     3.720713
## yak       1.642999
## yam       4.315183
## yang      1.642938
## yank      3.338789
## yard      4.469573
## yarn      4.455277
## yaw       2.801254
## yawl      2.730185
## yawn      4.448734
## yea       3.973433
## year      4.515455
## yearn     3.910330
## yeast     4.502918
## yell      4.417110
## yelp      3.409412
## yen       2.954283
## yes       4.832446
## yield     4.821044
## yoke      4.480565
## yolk      4.265757
## yore      3.005145
## youth     4.628253
## zeal      4.141043
## zest      4.107503
## zinc      3.835348
## zing      2.591726
## zip       4.528172
## zone      4.630769
## zoo       4.326536
4.4.2.4.4 Plotting
4.4.2.4.4.1 Normal
english2 <- english2 %>% 
  mutate(prob3 = predict(mdl.glmmSlope3, type = "response"))
english2 %>% 
  ggplot(aes(x = as.numeric(AgeSubject), y = prob3)) +
  geom_point() +
  geom_smooth(method = "glm", 
    method.args = list(family = "binomial"), 
    se = T) + theme_bw(base_size = 20)+
    labs(y = "Probability", x = "")+
    coord_cartesian(ylim = c(0,1))+
    scale_x_discrete(limits = c("Young", "Old"))

We obtain the exact same plots, but the model estimations are different. Let’s use another type of predictions

4.4.2.4.4.2 z-scores
z_vals <- seq(-3, 3, 0.01)
n = nrow(english2)

dfPredNew <- data.frame(RTlexdec_z = z_vals)

### store the predicted probabilities for each value of RTlexdec_z
pp <- cbind(dfPredNew, prob = predict(mdl.glmmSlope3, newdata = dfPredNew, type = "response", re.form = NA))#re.form is used to cancel random effects

pp %>% 
  ggplot(aes(x = RTlexdec_z, y = prob)) +
  geom_point() +
  theme_bw(base_size = 20) +
  labs(y = "Probability", x = "") +
  coord_cartesian(ylim = c(-0.1, 1.1), expand = FALSE) +
  scale_y_discrete(limits = c(0,1), labels = c("Young", "Old")) +
  scale_x_continuous(breaks = c(-3, -2, -1, 0, 1, 2, 3)) 
## Warning in scale_y_discrete(limits = c(0, 1), labels = c("Young", "Old")): Continuous limits supplied to discrete scale.
## ℹ Did you mean `limits = factor(...)` or `scale_*_continuous()`?

We obtain the exact same plots, but the model estimations are different.