Mastodawn

Michael Friendly 1d ago

Proto Himbo European 6d ago

"No, YOU'RE non-positive definite!"
-- Me to my computer every 7 minutes when running models

#rstats #lavaan #dataanalysis #statistics

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Michael Friendly 1d ago

@djnavarro So true, but I often find a double satisfaction of getting it to work in the first place--- something concrete to play with to see where it should go further,

Michael Friendly 1d ago

Danielle Navarro 1d ago

one of my least favourite moments when writing a package is trying to settle on the internal structure of its objects. it's easy to find something that works, but much harder to find something that will work cleanly and be extensible later. it takes several unpleasant refactors before it feels right

Michael Friendly Mar 13

#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

Michael Friendly Feb 27

#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

Michael Friendly Feb 13

coolbutuseless Feb 2

#norway #logic

Michael Friendly Feb 13

#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

Michael Friendly Feb 13

𝐿𝒶𝓃𝒶 "not yet begun to fight"Feb 5

Okay I've seen enough Epstein Files. Now show me the Epstein Trials.

Michael Friendly Feb 10

Data Science Feb 9

{annotater}: Annotate package load calls, so we can have an idea of the overall purpose of the libraries we’re loading: https://annotater.liomys.mx/ #rstats #documentation

Annotate Package Load Calls

Provides non-invasive annotation of package load calls such as \code{library()}, \code{p_load()}, and \code{require()} so that we can have an idea of what the packages we are loading are meant for.

Michael Friendly Feb 10

#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

Web	https://datavis.ca
GitHub	https://github.com/friendly
GH pages	https://friendly.github.io/

Annotate Package Load Calls

Psy 6136: Categorical Data Analysis