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A R package for splitting, applying and combining large problems into simpler problems
Professional data validation for the R environment
🔮 Easy access to model information for various model objects
Install R packages from GitHub, GitLab, Bitbucket, git, svn repositories, URLs
Word counts and readability statistics in R markdown documents
Exercise solutions to "R for Data Science"
A scripting and command-line front-end for GNU R
Tidy data frames and expressions with statistical summaries 📜
This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services.
Interpretation of cell states using reference single-cell maps
Convert PowerPoint Slides to xaringan (remark.js) Slides
new layout algorithms for network visualizations in R