R is a free programming language and software environment for statistical computing and graphics. R has a wide variety of statistical linear and non-linear modeling and provides numerous graphical techniques.
Exploratory and diagnostic machine learning tools for R
:rocket: R package: doFuture - A Universal Foreach Parallel Adaptor using the Future API of the 'future' Package
Simple colour manipulation in R
R interface to Google Cloud Machine Learning Engine
:bar_chart: An R htmlwidget interface to the TauCharts javascript library
RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)
Tools, shapefiles & data to work with an "AlbersUSA" composite projection in R
A Qlik server-side extension plugin for accessing R.
R package to convert R objects to JSON
Collection of resources I've found to be helpful for data science and programming
Machine learning pipelines for R.
exploratory data analysis using random forests
Tools to uniformly read in text data including semi-structured transcripts
R tools for geo-web processing of gridded data via the Geo Data Portal. geoknife slices up gridded data according to overlap with irregular features,...
Find out who maintains the R packages you use and say 'thank you'
Create reusable dplyr::case_when() functions
R Client for Canvas LMS API
R package to perform sentiment analysis and Parts of Speech tagging for Dutch/French/English/German/Spanish/Italian
Ppts, códigos y videos de las meetups, data science days, videollamadas y workshops. Data Science Research es una organización sin fines de lucro que...
Download, parse, store, and load text datasets instead of storing it in packages
Tidyflow: a workflow that fits the tidyverse
Repository for the OpenMx Structural Equation Modeling package
R functions for dealing with slippy map tile servers.
:no_entry: ARCHIVED :no_entry: Set Up 'Travis' for Testing and Deployment