#psy6136
LightNews LightNews
datavisfriendly.bsky.social
In the last two days, I'm getting a new kind of AI-gen spam on my #GitHub repos.

So obvious, a small annoyed chuckle, but likely done for something more nefarious.
text of an email: Hi friendly, Came across psy6136 today. Spent a few minutes in the repo nice work. It's sitting at 17 stars and 4 forks, which honestly feels low looks more like nobody's found it yet than anything about the project itself. What I do is grow GitHub projects the honest way: real eyes, real developers, no bots or fake stars. Want me to send a couple of ideas for psy6136? Best, Belinda
September 5, 2026 at 7:58 PM
datavisfriendly.bsky.social
I wrote detailed guidelines for acceptable / not AI use for my #psy6136 grad course on Categorical Data Analysis.
I was generally quite pleased with the results.

friendly.github.io/psy6136/assi...
June 14, 2026 at 9:10 PM
datavisfriendly.bsky.social
#rstats #CDA #psy6136
Felicia Tassone & Nathaniel Goldstein applied CDA methods to data on grasping kinematics - fourfold displays, mosaic plots, proportional odds models - in healthy adults and stroke patients.
Video presentation: drive.google.com/file/d/1-QuX...
CDA.mp4
drive.google.com
May 24, 2026 at 3:20 AM
datavisfriendly.bsky.social
#rstats #LCA #psy6136
Haley Bernusky's final project: Latent Class Analysis through a CDA lens — starting with pairwise odds ratios and mosaic plot of 6 binary substance-use indicators, then showing why LCA is the natural next step when 2^6 = 64 cells get sparse.
friendly.github.io/psy6136/stud...
friendly.github.io
May 24, 2026 at 3:17 AM
datavisfriendly.bsky.social
#rstats #psy6136
Gavin Klorfine's final project: now live as a vignette in {vcdExtra} 📦
"Steps Toward Tidy Categorical Data Analysis" implements 6 new functions for collapsing levels and converting between data forms — fills a real gap in the tidy #CDA toolkit.
friendly.github.io/vcdExtra/art...
1a. Steps Toward Tidy Categorical Data Analysis
friendly.github.io
May 24, 2026 at 3:14 AM
datavisfriendly.bsky.social
#rstats #dataviz #psy6136
Gabriel Crone & Naomi Martinez Gutierrez built a fully deployed Shiny app for interactive mosaic displays.
Upload data, choose a log-linear model, customize ... download publication-quality SVG.

Try it!
fohpsyc.shinyapps.io/psyc6136_app/
May 23, 2026 at 12:44 AM
datavisfriendly.bsky.social
#rstats #psy6136
My Categorical Data Analysis course is now done for 2026.
Such a great group of students, and I want to highlight some of their capstone project work, loosely described as: "a research paper or project extending the scope of CDA in some way..."
🔗 bit.ly/3PRzz2u
May 22, 2026 at 2:20 AM
datavisfriendly.bsky.social
My last lecture for #psy6136, Categorical Data Analysis,
"The Last Waltz" summarizes much of the content &points to
areas I could cover in a longer course (Bayesian, multilevel data, LCA, ...)
[Hardly anyone got the Last Waltz -- The Band reference 🥲]

Slides: friendly.github.io/psy6136/lect...
April 8, 2026 at 12:32 AM
datavisfriendly.bsky.social
#rstats #dataviz #psy6136
Lecture 9 for my course in Categorical Data Analysis-- Count Data Models
📋 Materials: friendly.github.io/psy6136/#GLM...
🎞️ Slides: friendly.github.io/psy6136/lect...
March 13, 2026 at 12:53 AM
datavisfriendly.bsky.social
Less likely to need flashing like if they come with effective plots. Interpreting coefficients? OK, but so old school
#psy6136 lecture this week on Count Data models.
friendly.github.io/psy6136/
March 10, 2026 at 11:33 PM
datavisfriendly.bsky.social
#rstats #dataviz #psy6136
Lecture 6 for my course in Categorical Data Analysis-- Extending Logistic Regression (polytomous responses)

Materials: friendly.github.io/psy6136/#Log...
Slides: friendly.github.io/psy6136/lect...
Overiew of logistic regression models for polytomous responses: Proportional odds model, nested logit model, multinomial logit model Plot of predicted probabilities of levels of womens' labor force participation for a nested logit model
February 27, 2026 at 1:39 AM
datavisfriendly.bsky.social
#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: friendly.github.io/psy6136/lect...
Title slide for lecture on Deep Questions of Data Visualization. It shows three types of stimuli (conch pie charts, granola bar charts and shrimp start charts) in an underwater scene with icons for sharks, turtles and stringrays Slide illustrating the design of an experiment comparing conch pie charts, granola bar charts presented to sharks as subjects Extended experiment, adding shrimp start charts as stimuli and stingrays as subjects The author, celebrating the Red Stripe Award from the Deep Questions Research Institute
February 26, 2026 at 8:39 PM
datavisfriendly.bsky.social
I'm revising a lecture on extensions of logistic regression for my #psy6136 #CDA course and thought I'd share this slide on t he age-old question:

PLOT FIRST?
FIT FIRST?

It captures a course theme that data analysis is an iterative process, involving a loop of graphing and model fitting.
A slide on the age-old question. One panel shows two buttons labelled Plot first? Fit first? The second panel shows a person wiping his head, with the caption, "I can plot-fit-plot"
February 22, 2026 at 7:34 PM
datavisfriendly.bsky.social
#rstats #dataviz #psy6136
Lecture 6 for my course in Categorical Data Analysis-- Logistic Regresson

Materials: friendly.github.io/psy6136/#Log...
Slides: friendly.github.io/psy6136/lect...
February 13, 2026 at 2:16 AM
datavisfriendly.bsky.social
#rstats #dataviz #psy6136
Lecture 5 for my course in Categorical Data Analysis-- Correspondence Analysis
Materials: friendly.github.io/psy6136/#Cor...
Slides: friendly.github.io/psy6136/lect...
February 8, 2026 at 3:32 AM
datavisfriendly.bsky.social
#rstats #dataviz #psy6136
Lecture 4 for my course in Categorical Data Analysis-- Loglinear models and Mosaic displays -- one of my fav topics

Slides: friendly.github.io/psy6136/lect...
January 30, 2026 at 1:34 AM
datavisfriendly.bsky.social
#rstats #dataviz #psy6136
I added a new page to my CDA course web site, friendly.github.io/psy6136/R-fu... giving an overview of the R functions in various packages related to the course topics, a kind of extended cheatsheet.
R Functions for Categorical Data Analysis
friendly.github.io
January 29, 2026 at 2:41 AM
datavisfriendly.bsky.social
#rstats #dataviz #psy6136
vcdExtra::color_table() is coming along nicely. Now, display either cell frequencies or residuals, with shading representing associations that remain after fitting some model.
January 27, 2026 at 1:22 AM
datavisfriendly.bsky.social
#rstats #dataviz #psy6136
Here's an example of what I'm trying to create for shading by residuals from a model (complete independence)
January 26, 2026 at 2:40 AM
datavisfriendly.bsky.social
#rstats #dataviz #psy6136
NEW in {vcdExtra} 📦 dev version: function color_table() produces colorized versions of flattened n-way frequency tables, (with gt 📦) shading the background of cells according to frequency or residuals from a loglinear model.
[Still a WIP]
January 26, 2026 at 2:40 AM
datavisfriendly.bsky.social
#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 or expected.

Variations in density show pattern of association.
Something I've wanted to do for a long time!
(code in ALT)
Mosaic plot of hair color and eye color, with points ~ observed frequency Code: install.packages("vcdExtra", repos = c('https://friendly.r-universe.dev') HairEye <- margin.table(HairEyeColor, 2:1) mosaic(HairEye, shade = TRUE, legend = FALSE, labeling = labeling_points(scale = 2, seed = 42)) ALT: Mosaic plot of hair color and eye color, with points ~ expected frequency Code: mosaic(HairEye, type = "expected" shade = TRUE, legend = FALSE, labeling = labeling_points(scale = 2, seed = 42))
January 24, 2026 at 2:52 AM
datavisfriendly.bsky.social
Oops. 😞
Here's the correct link to slides: friendly.github.io/psy6136/lect...
January 24, 2026 at 12:54 AM
datavisfriendly.bsky.social
#rstats #dataviz #psy6136
Lecture 3 for my course in Categorical Data Analysis, on two-way tables: Tests & visualization

Slides: friendly.github.io/psy6136/lect...
January 23, 2026 at 3:53 AM
datavisfriendly.bsky.social
#rstats #datatviz #psy6136
Updating a lecture for my CDA course, I recalled an old paper of mine on why frequency tables naturally area ~ count.

There's a lovely physical analog of gas molecules under pressure that explains everything!
www.tandfonline.com/doi/abs/10.1...
🧵1/4
Conceptual and Visual Models for Categorical Data
A dynamic conceptual model for categorical data is described that likens observations to gas molecules in a pressure chamber. In this physical model frequency corresponds to pressure, and fitting...
www.tandfonline.com
January 21, 2026 at 2:14 AM
datavisfriendly.bsky.social
#rstats #dataviz #psy6136
Lecture 2 for my course in Categorical Data Analysis, on discrete distributions
Slides: friendly.github.io/psy6136/lect...
January 16, 2026 at 2:05 AM