R for data science: a book
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R for data science: a book
A general-purpose tool for dynamic report generation in R
Easily generate information-rich, publication-quality tables from R
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.).
Create Blogs and Websites with R Markdown
Generate reproducible html5 slides from R markdown
Generate static html documentation for an R package
Render bits of R code for sharing, e.g., on GitHub or StackOverflow.
Generate R package documentation from inline R comments
R package for detecting doublets in single-cell RNA sequencing data
Reversible Reproducible Documents
ggplot2 tech themes, scales, and geoms
Download and use Census TIGER/Line shapefiles in R
Avoid the typical working directory pain when using 'knitr'
Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
Alternative to pkgdown to document R packages
A simple author handler for scientific writing
Accesses parasite occurrence records from the London Natural History Museum's Host-Parasite database, which contains over a quarter of a million helminth records.
R package that provides complex systems datasets from the Colorado Index of Complex Networks (ICON) at https://icon.colorado.edu/.
Cite R :package: on the fly in R Markdown and Quarto