A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
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Easily install and load packages from the tidyverse
- r
- data-science
- tidyverse
A curated list of awesome ggplot2 tutorials, packages etc.
- ggplot2
- ggplot2-themes
- data-visualization
- geoms
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
Write reusable, composable and modular R code
- r
- packages
- modules
Building R packages
A guide to some of the most useful R Packages that we know about
Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages.
This library packages the well-known charting library plotly.js into a razor component that can be used in a Blazor project.
- blazor
- plotly
- charting-library
- data-visualization
Facilitate citation of R packages
- citation-generator
- r
- r-package
- software-citation
Install R packages from snapshots on checkpoint-server
Alternative to pkgdown to document R packages
R package that provides complex systems datasets from the Colorado Index of Complex Networks (ICON) at https://icon.colorado.edu/.
A drat repository for R Package releases including the R COBOL Data Integration (rcoboldi) and R Bitcoincharts.com API packages (rbitcoinchartsapi).