RStartHere
R package guide
A comprehensive guide to useful R packages for data science workflow
A guide to some of the most useful R Packages that we know about
664 stars
78 watching
220 forks
Language: R
last commit: over 5 years ago
Linked from 2 awesome lists
qinwf/awesome-r
grabear/awesome-rshinyRelated projects:
| Repository | Description | Stars |
|---|---|---|
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 rstudio-education/rstats-ed | A curated repository of resources and courses for learning R and teaching statistical analysis | 453 |
| rstudio/r-manuals | A re-styled version of the R documentation set to improve readability | 88 |
| rstudio/dygraphs | An R interface to a popular JavaScript charting library for creating interactive time-series plots with customizable features. | 365 |
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 ropensci/datapackager | Enables reproducible data processing and sharing through standardization and packaging | 154 |
| rstudio/shinythemes | Provides pre-built UI themes for Shiny applications | 152 |
 romantseg/rbooks | A curated collection of R book recommendations for various skill levels and interests | 243 |
| rstudio/tensorflow | A package that provides an interface to the TensorFlow machine learning framework from within R. | 1,329 |
 ujjwalkarn/datasciencer | A comprehensive resource for learning R programming and data science concepts | 2,019 |
| rstudio/renv | A tool for managing isolated, portable and reproducible R project environments. | 1,023 |
| rstudio/gt | Provides functions to construct publication-quality tables from R data | 2,047 |
| rstudio/plumber | Converts R code into a web API with minimal configuration | 1,407 |
 r-lib/pkgdown | A tool that generates static HTML documentation for R packages | 724 |