Tools to make an R developer's life easier
- r
- package-creation
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Tools to make an R developer's life easier
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.).
Graph and network visualization using tabular data in R
Machine Learning in R
:lock_with_ink_pen: Opinionated, typographic-centric ggplot2 themes and theme components
:round_pushpin: Repel overlapping text labels away from each other in your ggplot2 figures.
Improve the readability of R code with the pipe
English and European soccer results 1871-2022
💡 Easily improve the user experience of your Shiny apps in seconds
Glue strings to data in R. Small, fast, dependency free interpreted string literals.
R wrapper for highcharts
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
Guide, reference and cheatsheet on web scraping using rvest, httr and Rselenium.
Download and use Census TIGER/Line shapefiles in R
Current version of the SuperLearner R package
The repository host gives no description.
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
R bindings to the libgit2 library
talk with NCBI entrez using R
An R package to flexible rearrange, reshape and aggregate data
Pry open the covers of R
Chemical Information from the Web
Multi-Paradigm Pipeline Implementation
Generate roxygen2 skeletons populated with information scraped from the function script.