My contribution to this year's class about discoveries in R. The tutorial shows how to use pictures on plots. The gem is at the bottom of the page.

An introductory seminar for the Data Analysis in Sociology class 2023, HSE University - St.Petersburg This tutorial covers: - classical and metric MDS with smacof::mds() - unfolding with smacof::unfolding() An example and discussion of MDS versions for the class of 2023, Data Analysis in Sociology, HSE University Version 2, corrected and amended: -added more goodness-of-feature measures; -added Shepard plot; -added permutation test; -added sim2diss(); -added a comparison for the semantic differential data; -added a summary with a re-analysis of university rankings data.

The script partially replicates the following tutorial http://www.sthda.com/english/articles/31-principal-component-methods-in-r-practical-guide/113-ca-correspondence-analysis-in-r-essentials/ and adds an analysis of similar data collected by the students for this course Data Analysis in Scoiology, HSE University - St.Petersburg.

An example of correspondence analysis on a cross-tab for the class of Data Analysis in Sociology, HSE - St.Petersburg

An example and discussion of principal components analysis (PCA) for the class of 2023, Data Analysis in Sociology, HSE University Version 2, corrected and amended: - log-transform first, scale second (or lose half of the data scoring below the mean, like I did in version 1); - added a comment about the correlation circle; - added a comment and additional (unnecessary) test on multivariate normality; - fixed plotly plots so that they show the labels on hovering; - replicated the first PCA on a smaller group of correlated variables to show how the results improved; - moved all correlating variables together beautifully in a correlation matrix; - created separate data sets for every analysis, to avoid overlapping data manipulation in the future.

An example and discussion of principal components analysis (PCA) for the class of 2023, Data Analysis in Sociology, HSE University - St.Petersburg v.1, mistakes were spotted, see v.2

- ordering bars - lumping small categories together - ordering bars with percent points - colour coding in the title and bars - annotations

I am wondering how to present boxplots in a better way. Show the mean, do a swarm plot, a strip plot, etc. I think it is easier to compare by looking.

A brief showcase for some robust statistics that are available in the WRS2 package. Slides for the Data Analysis in Sociology class of Winter 2022, HSE University - St.Petersburg

Useful Bit 3 for Data Analysis in Sociology (HSE University, St. Petersburg)

An updated introduction to cluster analysis (K-means, hierarchical, PAM + bits of t-SNE and DBSCAN) for the undergrads of 'Sociology and Social Informatics' at HSE -- St. Petersburg

Slides of the Data Analysis in Sociology 2021 class at HSE St.Petersburg

Data Analysis in Sociology, HSE Universtiy - St.Petersburg 2021

A potentially Useful Bit 4 for Data Analysis in Sociology (HSE University, St. Petersburg), inspired by a post at towardsdatascience.com

Useful Bit 3 for Data Analysis in Sociology (HSE University, St. Petersburg)

Useful Bit 2 for Data Analysis in Sociology (HSE University, St. Petersburg), inspired by https://stackoverflow.com/questions/41574732/how-to-add-logo-on-ggplot2-footer

Useful Bit 1 for Data Analysis in Sociology course (HSE University, St. Petersburg), inspired by https://youtu.be/adelgqOlZwE

Your first tutorial when learning to do stats in R. Materials for the 1st seminar of 'Data Analysis in Sociology' class of 2021, HSE University - St. Petersburg, spb.hse.ru/ba/soc

An example of scraping a page, using simple regular expressions to extract information, and visualizing the results in smartphone-friendly plots

introduction to the assumptions, model evaluation, and reporting

Exercise for plotting and interpretation Data Analysis in Sociology, HSE SPb

Problem set for SocInfo BA Data Analysis class, HSE - St.Petersburg

Slides for the undergraduates of SSI programme, HSE St.Petersburg, v.4 (2022)

for Data Analysis in Sociology class of 2020

A comparison of the old and tidy predict routine for a binary logistic regression model. Data Analysis in Sociology, HSE SPb

Slides for the undergraduates of Sociology and Social Informatics programme, HSE St.Petersburg, v.3 (2021)

Slides for the Data Analysis in Sociology class of 2020 (HSE, St.Petersburg)

Introduction to cluster analysis in R for HSE SPb undergraduate students of sociology and social informatics

A detailed example of estimating a binary logistic regression for undergraduate students of the "sociology and social informatics" programme, HSE - St.Petersburg

Slides for undergraduate students of "sociology and social informatics" programme, Higher School of Economics - St. Petersburg

A sample of conjoint survey design, Business Analytics class, Higher School of Economics - St.Petersburg, Sociology and Social Informatics, 2019

Writing Abstracts 101, a collection of tips and good advice for writing an abstract to a research paper or thesis

A comparison of decision trees, binary logistic regression, random forest, and boosting on a single data set.

Seminar script for the Data Analysis in Sociology 2019 class

for the April 4th seminar HSE, Sociology and Social Informatics

Problem tasks for Data Analysis in Sociology practice

Data Analysis in Sociology, 2019

script for computer lab, Data Analysis in Sociology, v.2

Lab script for Data Analysis in Sociology II, 2019, HSE

for data analysis in sociology course, 2019, HSE St.Petersburg

An annotated script of fitting a binary logistic regression in R.

version 2 HSE SPb Sociology and Social Informatics Olesya Volchenko and Anna Shirokanova #rstats

Slides for the lecture, HSE SPb Sociology and Social Informatics 2nd year BA #rstats by Olesya Volchenko and Anna Shirokanova

HSE SPb Sociology and Social Informatics April 23, 2018 Lab script #rstats Olesya Volchenko and Anna Shirokanova

Here is a visual comparison of oneway ANOVA F-statistics between three groups, depending on their means and standard deviations. by Olesya Volchenko (HSE, LCSR) #rstats #hse

regression vs correlation

short notes compiled from various sources (see references)

Here is a script adapted from nice public resources. Up to date as of October 2017

update September 2017

Ex.4 from Alex's practical (GESIS course Designing, Implementing, and Analyzing Longitudinal Surveys)

version April 2017

version 5

version 5

version 4

With precise coordinates for the previous schools added, and the comparison of previous school and home's locations of department's students

Use this code to see where the department's students come from =)