Introduction
I Overview and basics of the R programming language
1 Introduction to R, the Tidyverse - Visualisation
II Statistical analyses using R
2 Correlation, LM, GLM, STD and CLM
3 Random effects - LMM, GLMM, CLMM, GAMMs
III Qualitative data analysis and corpora
4 Creating a corpus and basic manipulations
5 Advanced manipulations of corpora
6 Corpus analysis and statistics
IV Data reduction techniques and machine learning
7 Reducing Dimensionality: Correlations, Principal Component Analysis, cluster analysis and Multidimensional scaling
8 Decision trees and Random Forests

Statistics for Linguists using R - Quantitative and qualitative approaches

2.3 Power analysis and effect size

to come…