hadley / r4ds
R for data science: a book
See what the GitHub community is most excited about today.
R for data science: a book
Easy interactive web applications with R
A collection of datasets of ML problem solving
Collection of various algorithms implemented in R.
Rmd source files for the HarvardX series PH525x
Machine Learning in R
forecast package for R
Repository for Programming Assignment 2 for R Programming on Coursera
new layout algorithms for network visualizations in R
Run the PACTA analysis on EQ & CB portfolios
Functions and workflows to run financial stress tests on climate change related risk types
Mastering Shiny: a book
The Composer of ggplots
ggplot extension: options for tailored facets, multiple colourscales and miscellaneous
Visualizations of distributions and uncertainty
An implementation of the Language Server Protocol for R
Visualize walmart store openings
Tools to make an R developer's life easier
Apuntes personales sobre estadística, machine learning y lenguaje de programación R
Dynamic Documents for R
shinyML is a R package that use h2o and Spark frameworks to easily compare supervised machine learning models on regression or classification tasks (published on CRAN in July 2019)
My awesome profile README