Michael Friendly

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209 Posts
#rstats developer of graphical methods for categorical and multivariate data; #datavis history of data visualization; #historicaldatavis; Milestones project
Webhttps://datavis.ca
GitHubhttps://github.com/friendly
GH pageshttps://friendly.github.io/

#rstats #dataviz #psy6136
Lecture 9 for my course in Categorical Data Analysis-- Count Data Models

📋 Materials: https://friendly.github.io/psy6136/#GLMs_for_count_data
🎞️ Slides: https://friendly.github.io/psy6136/lectures/09-CountData.pdf

#rstats #dataviz #psy6136
BONUS lecture for my course in Categorical Data Analysis-- Deep Questions of Data Visualization

First ever study of graphical preferences among marine animals!! 🦈🐢🐟

WINNER of the Red Stripe Award, 2026!! 🎖️🎖️

Slides: https://friendly.github.io/psy6136/lectures/DeepQuestions.pdf

#rstats #dataviz #psy6136
Lecture 6 for my course in Categorical Data Analysis-- Logistic Regresson

Materials: https://friendly.github.io/psy6136/#Logistic_regression

Slides: https://friendly.github.io/psy6136/lectures/06-Logistic.pdf

#rstats #dataviz #psy6136
Lecture 5 for my course in Categorical Data Analysis-- Correspondence Analysis
Materials: https://friendly.github.io/psy6136/#Correspondence_Analysis

Slides: https://friendly.github.io/psy6136/lectures/05-Corresp.pdf

#dataviz #psychology
Word Faces of Psychology -- one of the best uses of word clouds I've ever seen.
Three lovely word clouds of pioneers of psychology using words from their major works.
Christopher Green (2018) Images of the disciplining of
psychology, 1890–1940, Qualitative Research in Psychology, 15:2-3, 179-187, DOI: 10.1080/14780887.2018.1429851
Best to look at these from afar.
#rstats #psy6136
NEW in {vcdExtra} 📦 dev version: labeling_points() plots points in the tiles of mosaic diplays showing obs or expected freq, with tiles ~ observed / expected.
Variations in density show pattern of association.
Something I've wanted to do for a long time!

#rstats #dataviz #psy6136
Lecture 2 for my course in Categorical Data Analysis, on discrete distributions

Slides: https://friendly.github.io/psy6136/lectures/02-Discrete.pdf

#rstats #dataviz #psy6136
Gave the first lecture for my course in Categorical Data Analysis

Slides: https://friendly.github.io/psy6136/lectures/01-Overview.pdf

#rstats
Just added a {tinytable} method for printing collinearity diagnostics in my {VisCollin} pkg
It uses background colors to show warning levels for condition indices
and for the associated variance proportions
Only in the dev version, 0.1-4, https://friendly.r-universe.dev/VisCollin

ANNOUNCE: #dataviz #rstats
This winter I'm teaching a new instance of my course on Categorical Data Analysis, featuring analysis and
visualization methods for frequency data and model-based methods (loglinear models, logistic/Possion regression).
I'll post some weekly highlights.
Course materials (lecture slides, #rstats examples, etc.) are available at:
https://friendly.github.io/psy6136/

but still being revised.