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Book/resources recommendations for doctoral-level stats/data-analysis in Psychology
2 projects | /r/rstats | 30 Mar 2023

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

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mattansb/Practical-Applications-in-R-for-Psychologists is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.

The primary programming language of Practical-Applications-in-R-for-Psychologists is R.