report
awesome-R
report | awesome-R | |
---|---|---|
4 | 6 | |
663 | 5,792 | |
1.2% | - | |
7.4 | 4.0 | |
4 days ago | 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.
report
awesome-R
- Good coding groups for black women?
- Where to learn R?
-
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?
sf - Simple Features for R
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
papaja - papaja (Preparing APA Journal Articles) is an R package that provides document formats to produce complete APA manuscripts from RMarkdown-files (PDF and Word documents) and helper functions that facilitate reporting statistics, tables, and plots.
easystats - :milky_way: The R easystats-project
ggthemr - Themes for ggplot2.
bibliometrix - An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.
lab02_R_intro - Vežbe 2: Uvod u R
Practical-Applications-in-R-for-Psychologists - Lesson files for Practical Applications in R for Psychologists.
viridis - Colorblind-Friendly Color Maps for R
feltr - A R package to read Felt maps to simple feature data 🗺️
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R