Inspired by R and its community

The RStudio 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.

rmarkdown lets you insert R code into a markdown document. R then generates a final document, in a wide variety of formats, that replaces the R code with its results.

Project Site Link

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.

Project CRAN Site Link

knitr is an elegant, flexible and fast dynamic report generation that combines R with TeX, Markdown, or HTML.

Project Site Link

ggplot 2 is an enhanced data visualization package for R. Create stunning multi-layered graphics with ease.

Project Site Link

tidyr is new package that 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).

Project Paper Link

readr makes it easy to read many types of tabular data including; Delimited files withread_delim(), read_csv(), read_tsv(), and read_csv2(), Fixed width files with read_fwf(), and read_table(), and Web log files with read_log().

Project Blog Link

lubridate is an R package that makes it easier to work with dates and times. The link will bring you to a concise tour of some of the things lubridate can do for you.

Project Link

The aim of devtools is to make your life as a package developer easier by providing R functions that simplify many common tasks.

Project GitHub Link

magrittr provides a mechanism for chaining commands with a new forward-pipe operator, %>%.

Project CRAN Site Link

packrat is a dependency management tool for R to make your R projects more isolated, portable, and reproducible.

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The stringr package aims to provide a clean, modern interface to common string operations.

Project CRAN Site Link

dplyr is the next iteration of plyr, focussing on only data frames. dplyr is faster and has a more consistent API.

Project GitHub Link