Linguistic data: quantitative analysis and visualisation
R and RStudio installation
R, RStudio, RStudio online ——- Connecting RStudio and GitHub, R-bloggers
Course Info
Course description – about Final exam projects – Students & grades
1. Introduction to the course. Introduction to R. Types of data.
- Please fill in the form
(18.01.2018) Lab 1: Basic R objects. Dataframes. Manipulation with data. Simple functions. Base R functions code. User’s functions. User’s functions. Loops. Functions in functions. Default arguments. Optional arguments.
HW-1. Self-paced online course. Section 1-5. Please upload the screenshot of your Course Progess (Quizes 1-11, Labs 1-11) in the folder OnlineCourse in your github repository. Your student name and email are to be seen on the screenshot. Due: next class.
2. Descriptive statistics A. Confidence intervals. P-values
- (25.01.2018) Lec 2: Central limit theorem. Measures of central tendency and dispersion. Confidence intervals
- (25.01.2018) Lab 2: Simple plots. Read and write data. Manipulation with data (R base vs. dplyr). R markdown.
- [Test # 1: Basic R techniques (based on online course))[]
- RMarkdown in short. RStudio cheat sheet
- Lab 2 Assignment
- [Test # 1: Basic R techniques (based on online course))[]
Textbook: Levshina Ch.3-4
HW-2. Self-paced online course. Section 6-7, Final Exam. Please upload the screenshot of your Course Progess in the folder OnlineCourse in your github repository. Your student name and email are to be seen on the screenshot. Due: next class.
3. Data manipulation and visualization.
- (01.02.2018) Base R vs. ggplot2: 2 variables, 3 variables, many variables
- HW-1. Due: 15.02.2018
4. Classical statistical tests: continuos data. T-tests. Mann-Whitney U-test.
- (10.02.2018) Lec 4
- (10.02.2018) Lab 4: Descriptive statistics, Confidence intervals, T-tests. P-value.
- Lab 4 Assignment
- Files from class: Lab 4
Textbook: Levshina Ch.5
Final Exam Projects: Research topic and hypothesis. Please fill in the form, sheet Projects. Due: 15.02.2018.
5. Classical statistical tests: categorial data. Binomial test. Chi-squared test. Fisher exact test. Effect size. Correlations. ANOVA.
- (15.02.2018) Lab 5 code Lab 5 solution.
6. Bi-variate regression.
- (24.02.2018) lecture
- (24.02.2018) Lab 6: Assignment, Code
- Textbook: Levshina Ch.6
7. Linear regressions
- (03.03.2018) lecture
- (03.03.2018) Lab 7: Assignment, Code
- Textbook: Levshina Ch.7
8. Multivariate linear regressions, dummy variables, ANOVA
- (12.04.2018) Lecture 8
- (12.04.2018) Lab 8: Assignment, Code
- Textbook: Levshina Ch.8
9. Linear mixed-effects models.
- (26.04.2018) Lecture 9
(26.04.2018) Lab 9: Assignment, Code
HW-2. Html-version Due: 17.05.2018
10. Binary logistic regressions
- (10.05.2018) Lecture 10
(10.05.2018) Lab 10: Assignment Code
Final Exam Projects: Data. Data annotation. Please put a link here, sheet Projects Due: 20.05.2018
11. Decision trees. Decision forests
- (17.2018) lecture
(17.2018) Lab 11 (CART), Assignment Code
HW-2. Html-version Due: 4.06.2018
12. Clusterization
- (24.05.2018) lecture
- (24.05.2018) Lab 12: Clusterization. Assignment link
13. Principal component analysis, t-SNE, Simple and Multiple correspondence analysis
- (31.05.2018) Lecture 13 slides 3D slides
- (31.05.2018) Lab 13: PCA, Assignment link
- (02.06.2018) Lecture 14
- (02.06.2018) Lab 14: t-SNE, CA, MCA
15. Time series data (TL)
- (05.06.2018) lecture
- (05.06.2018) Lab
15. Empirical Bayes (CL)
- (09.06.2018) lecture
- (09.06.2018) Lab 15, Assignment link
16. Statistics for Hackers (CL)
- (14.06.2017) lecture
- (14.06.2017) Lab 16, Assignment link
Exam: Project presentation
- (13.06.2018) schedule
- (19.06.2018) 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.: 2018). 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
