awesome-R
DataScienceR
Our great sponsors
awesome-R | DataScienceR | |
---|---|---|
6 | 1 | |
5,781 | 1,959 | |
- | - | |
4.0 | 0.0 | |
about 2 months ago | about 1 year ago | |
R | R | |
- | MIT License |
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.
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
DataScienceR
What are some alternatives?
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
badger - Badge for R Package
easystats - :milky_way: The R easystats-project
aor - 🎄📦 Advent of R: Utility Functions for the Advent of Code in R
sf - Simple Features for R
design - Tidyverse design principles
lab02_R_intro - Vežbe 2: Uvod u R
viridis - Colorblind-Friendly Color Maps for R
awesome-computational-social-science - A list of awesome resources for Computational Social Science
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
R-Fundamentals - D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.