Practical-Applications-in-R-for-Psychologists
easystats
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Practical-Applications-in-R-for-Psychologists | easystats | |
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1 | 3 | |
125 | 1,019 | |
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5.5 | 7.8 | |
7 months ago | 9 days ago | |
R | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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Practical-Applications-in-R-for-Psychologists
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Book/resources recommendations for doctoral-level stats/data-analysis in Psychology
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
easystats
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My recommended R packages / functions for behavioral researchers who deal with 2X2 experiments
I'd also recommend the whole easystats suite of packages. They make model post-processing much easier. It includes a more intuitive (but more limited, imo) replacement for emmeans: modelbased.
- Most useful new packages (or package updates) from the last 3 years
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ISO a holy grail RStudio tutorial account, specifically for data analysis in psychology.
The Easystats suite, which includes several packages. It's extremely useful for Bayesian analyses, but even if you stay on the frequentist side, I recommend its performance, parameters, effectsize and correlation packages. Performance is particularly useful in conjunction to DHARMa for model diagnostic and comparison.
What are some alternatives?
desctable - An R package to produce descriptive and comparative tables
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
report - :scroll: :tada: Automated reporting of objects in R
shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds
janitor - simple tools for data cleaning in R
awesome-R - A curated list of awesome R packages, frameworks and software.
TidyTuesday - My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2.
timevis - 📅 Create interactive timeline visualizations in R
targets - Function-oriented Make-like declarative workflows for R
afex - Analysis of Factorial EXperiments (R package)
waffle - :maple_leaf: Make waffle (square pie) charts in R
ggstatsplot - Enhancing {ggplot2} plots with statistical analysis 📊📣