Michael Friendly

@[email protected]
461 Followers
394 Following
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/
Michael Friendly1d ago
Proto Himbo European5d ago

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

#rstats #lavaan #dataanalysis #statistics

Michael Friendly1d ago
Danielle Navarro1d 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 FriendlyMar 13

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

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

Michael FriendlyFeb 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!! πŸŽ–οΈπŸŽ–οΈ

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

Michael FriendlyFeb 13
coolbutuselessFeb 2
#norway #logic
Michael FriendlyFeb 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 FriendlyFeb 13
𝐿𝒢𝓃𝒢 "not yet begun to fight"Feb 5
Okay I've seen enough Epstein Files. Now show me the Epstein Trials.
Michael FriendlyFeb 10
Data ScienceFeb 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 FriendlyFeb 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

Psy 6136: Categorical Data Analysis

Michael FriendlyFeb 9

#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