easystats
awesome-R
Our great sponsors
| easystats | awesome-R | |
|---|---|---|
| 3 | 6 | |
| 1,019 | 5,781 | |
| 2.8% | - | |
| 7.8 | 4.0 | |
| 7 days ago | about 2 months ago | |
| R | R | |
| GNU General Public License v3.0 or later | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
awesome-R
- Good coding groups for black women?
- Where to learn R?
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Crantastic: What happened to it?
Won't cover newer ones, but Awesome R has a good list as does this site.
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Setup local development environment for R-yaml
First we looked for a project to play with. Checked the r projects, then looked at the awesome-R list and found r-yaml. We thought a library dealing with YAML files will be simple to install and test.
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WEBSITE WITH TEMPLATES
I can't really decipher what exactly do you want/mean but here you go: https://github.com/qinwf/awesome-R
- Python vs Matlab vs R
What are some alternatives?
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds
sf - Simple Features for R
timevis - 📅 Create interactive timeline visualizations in R
lab02_R_intro - Vežbe 2: Uvod u R
targets - Function-oriented Make-like declarative workflows for R
viridis - Colorblind-Friendly Color Maps for R
afex - Analysis of Factorial EXperiments (R package)
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
waffle - :maple_leaf: Make waffle (square pie) charts in R
llr - Lisp-like-R: A clojure inspired lisp that compiles to R in R