R Packages
Inspired by R and our community
The Posit team contributes code to many R packages and projects. R users are doing some of the most innovative and important work in science, education, and industry. It’s a daily inspiration and challenge to keep up with the community and all it is accomplishing.
Analyze and explore
tidyverse
The tidyverse is an opinionated collection of R packages designed for data science. All packages share an underlying philosophy and common APIs.
ggplot2
ggplot2 is an enhanced data visualization package for R. Create stunning multi-layered graphics with ease.
dplyr
dplyr is the next iteration of plyr, focussing on only data frames. dplyr is faster and has a more consistent API.
tidyr
tidyr makes it easy to “tidy” your data. Tidy data is data that’s easy to work with: it’s easy to munge (with dplyr), visualise (with ggplot2 or ggvis) and model (with R’s hundreds of modelling packages).
purrr
purrr enhances R’s functional programming (FP) toolkit by providing a complete and consistent set of tools for working with functions and vectors.
stringr
A consistent, simple and easy-to-use set of wrappers around the fantastic 'stringi' package.
Communicate and interact
Shiny
Shiny makes it incredibly easy to build interactive web applications with R. Shiny has automatic “reactive” binding between inputs and outputs and extensive pre-built widgets
Quarto
Use Quarto to develop your code and ideas in a reproducible document. Knit plots, tables, and results together with narrative text, and create analyses ready to be shared.
Flexdashboard
Use flexdashboard to publish groups of related data visualizations as a dashboard.
Model and predict
tidymodels
The tidymodels framework is a collection of packages for modeling and machine learning using tidyverse principles.
sparklyr
Sparklyr provides bindings to Spark’s distributed machine learning library. Together with sparklyr’s dplyr interface, you can easily create and tune machine learning workflows on Spark, orchestrated entirely within R.
TensorFlow for R
TensorFlow is an open-source software library for Machine Intelligence. The R interface to TensorFlow lets you work productively using the high-level Keras and Estimator APIs and the core TensorFlow API.
Connect and Integrate
plumber
Plumber enables you to convert your existing R code into web APIs by merely adding a couple of special comments.
reticulate
The reticulate package provides a comprehensive set of tools for interoperability between Python and R.
Additional Resources
Databases using R
Posit makes it easy to work with databased in R.