Practical-Applications-in-R-for-Psychologists VS desctable

https://quantpsych.net/web-applications/ https://jkkweb.sitehost.iu.edu/KruschkeFreqAndBayesAppTutorial.html https://rpsychologist.com/viz https://www.sas.upenn.edu/~baron/from_cattell/rpsych/rpsych.html https://ladal.edu.au/tutorials.html https://bookdown.org/paul/computational_social_science/ https://github.com/mattansb/Practical-Applications-in-R-for-Psychologists https://github.com/seanchrismurphy/A-Psychologists-Guide-to-R https://cu-psych-computing.github.io/cu-psych-comp-tutorial/tutorials/r-extra/accelerated-ggplot2/ggplot_summer2018_part2/#1-overview https://www.andrewheiss.com/blog/2022/05/20/marginalia/ https://www.statisticshowto.com/ https://benwhalley.github.io/just-enough-r/ https://vasishth.github.io/Freq_CogSci/ https://uoepsy.github.io/ https://pittmethods.github.io/r4ss/ https://www.sas.upenn.edu/~baron/from_cattell/rpsych/rpsych.html

The new API is not yet complete, but has feature parity with the old one, and will be further developed towards 1.0. (have a look at the roadmap on the github repo) desctable has now full support for purrr::map-like formulas when defining statistics and tests, and a easier to manipulate internal format. There's a new website at https://desctable.github.io, the repo has moved to it's own org (https://github.com/desctable/desctable), and new documentation and vignettes have been written!