awesome-R
fontawesome
Our great sponsors
| awesome-R | fontawesome | |
|---|---|---|
| 6 | 1 | |
| 5,780 | 288 | |
| - | 0.7% | |
| 4.0 | 7.1 | |
| about 2 months ago | 7 days 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.
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
fontawesome
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Waffle Function and FontAwesome Help
That is a dead link. I have tried downloading FontAwesome from here, but I am not sure even what to do with it after downloading the zip, or if that is even the zip file I need.
What are some alternatives?
easystats - :milky_way: The R easystats-project
ggplot2 - An implementation of the Grammar of Graphics in R
viridis - Colorblind-Friendly Color Maps for R
blogdown - Create Blogs and Websites with R Markdown
sf - Simple Features for R
Font-Awesome - The iconic SVG, font, and CSS toolkit
lab02_R_intro - Vežbe 2: Uvod u R
dplyr - dplyr: A grammar of data manipulation
llr - Lisp-like-R: A clojure inspired lisp that compiles to R in R
GetOldTweets-R - A project written in R to get old tweets, it bypass some limitations of Twitter Official API.
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
remotes - Install R packages from GitHub, GitLab, Bitbucket, git, svn repositories, URLs