Linguistic data: quantitative analysis and visualisation

R and RStudio installation

R, RStudio, RStudio online, Connecting RStudio и GitHub, R-bloggers

1. Introduction to R. Types of data. Dataframe. User’s functions

(16.01.2017) Lab 1: Base R objects. Simple plots. Simple functions. Base R functions code. User’s functions. Loops. Functions in functions. Default arguments. Optional arguments.
(02.02.2017) Dataframes. Read and write data. Manipulation with data (R base vs. dplyr)
HW-1. Deadline: 16.02.2017

2. Visualization.

(09.02.2017) Base R vs. ggplot2: 2 variables, 3 variables, many variables
(09.02.2017) Lab 2: Data manipulation and visualization
(16.02.2017) RMarkdown
HW-2. Deadline: 12.03.2017

3. 4. Descriptive statistics A. Confidence intervals. T-tests. P-values. Normality tests

(16.02.2017) Lecture: Central limit theorem. Confidence intervals
(02.03.2017) Lab 3 and 4: Descriptive statistics, Confidence intervals, T-tests. P-value. Boxplot, errorbar.
- Assignment
- Files from class: Lab 3 and 4

5. More about t-test: one-tailed, paired, test power, Coehn’s d. Mann–Whitney U-test.

(09.03.2017) lecture
(09.03.2017) Lab 5, Assignment

6. χ². Exact Fisher test. Correlations

(16.03.2017) lecture
(16.03.2017) Lab 6, Assignment

7. Linear regressions

(23.03.2017) lecture
(23.03.2017) Lab 7, Assignment

8. ANOVA, dummy variables, Multiple linear regression

(13.04.2017) lecture 8
(13.04.2017) Lab 8, Assignment

9. Binary logistic regressions

(20.04.2017) lecture 9
(20.04.2017) Lab 9, Assignment

10. Linear Mixed-effects models

(27.04.2017) lecture
(27.04.2017) Lab 10, Assignment

11. Decision trees. Decision forests

(11.05.2017) lecture
(11.05.2017) Lab 11 (CART), Assignment

12. Clusterization

(18.05.2017) lecture
(18.05.2017) Lab 12: Clusterization. Assignment link

13. PCA, MCA

(25.05.2017) lecture 13
(25.05.2017) Lab 13: PCA, MCA, Assignment link
(27.05.2017) lecture
(27.05.2017) Lab 13: PCA, MCA, Assignment link

14. Empirical Bayes

(1.06.2017) lecture
(1.06.2017) Lab 14, Assignment link

15. Statistics for Hackers

(8.06.2017) lecture
(8.06.2017) Lab 15, Assignment link

Project presentation schedule

Textbooks

Levshina, Natalia. 2015. How to do Linguistics with R. Info Companion web site. The e-book is available in HSE library.
Gries, Stefan Th. 2013. Statistics for Linguistics with R: A Practical Introduction. 2nd ed. Mouton de Gruyter. Info
Gries, Stefan Th. 2009 (2nd ed.: 2017). Quantitative Corpus Linguistics with R. Routledge. Info 2nd Edition Companion page
Baayen, Harald. 2008 (2nd ed.: 2014). Analyzing Linguistic Data: A Practical Introduction to Statistics using R. Cambridge University Press. Info Google books

see also our Course Program

R Markdown