kwewr
awesome-R
Our great sponsors
kwewr | awesome-R | |
---|---|---|
1 | 6 | |
3 | 5,781 | |
- | - | |
3.9 | 4.0 | |
over 3 years 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.
kwewr
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R as a SEO
Or you can create your own tools, I've written a small library to interface with KeywordsEvery API and put it on Github. https://github.com/retowyss/kwewr
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?
rib - An R implementation of Interactive Brokers API
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
curlconverter - :curly_loop: :arrow_right: :heavy_minus_sign: Translate cURL command lines into parameters for use with httr or actual httr calls (R)
easystats - :milky_way: The R easystats-project
googleCloudStorageR - Google Cloud Storage API to R
sf - Simple Features for R
lab02_R_intro - Vežbe 2: Uvod u R
viridis - Colorblind-Friendly Color Maps for R
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