Linguistic Data: Quantitative Analysis and Visualisation: linguistic theory

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  • Instructors: Ilya Schurov and Olga Lyashevskaya


Data Topics Links
Jan 18 Introduction. Quantitative linguistic research and data types. R basics Intro Slides Lab 01: intro to R
Jan 25 Hypothesis testing. Binomial test. R: dataframes lab02
Feb 1 Estimating of population mean. Central Limit Theorem
Feb 8 One sample t-test. Working with dataframes. Selection by condition. selection by condition, one sample t-test
Feb 15 Two sample t-test. Usage of t.test to perform two-sample t.test. notebook
Feb 22 ANOVA. Confidence intervals. tidyverse library. notebook
Feb 29 Chi-squared test. Rmd, pdf
March 7 Correlations. Scatter plots. notebook
April 8 Bivariate regression. video
April 15 Multiple regression and causal questions. video, notebook
April 22 More on linear regressions. Significance of coefficient. Dummy variables. video
April 29 Logistic regression video
May 6 Random effects. Mixed effects models video
May 13 Principal components anaylysis video
May 20 Clustering video
May 27 Decision trees and random forests video


id links due date upload link
HW1 Rmd, pdf Feb. 9, 23:59:59 here
HW2 Rmd, pdf Feb. 24, 23:59:59 here
HW3 Rmd, pdf April 16, 23:59:59 here

Final projects


During this course we will use R as a programming language and RStudio as a GUI.

How to install R and RStudio?

1. Download R (you can choose another mirror here if you wish) and install it on your computer. Make sure you did it before installing RStudio.

2. Download RStudio (you need RStudio Desktop Open Source License) and install it on your computer. It is recommended to create a shortcut for RStudio during installation.

It is possible avoid installing anything on your PC, using (an online version of RStudio).

For successful submission of assignments you should be able to create and save R code files (.R) and RMarkdown files (.Rmd).


  • Gries, Stefan (2013). Statistics for Linguistics with R : A Practical Introduction (Vol. 2nd revised edition). Berlin: De Gruyter Mouton. HSE library link
  • Levshina, Natalia (2015). How to Do Linguistics with R : Data Exploration and Statistical Analysis. Amsterdam: John Benjamins Publishing Company. HSE library link
  • Baayen, Harald (2008). Analyzing Linguistic Data: A practical introduction to statistics. Cambridge UP. pdf