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A Grammar of Data Manipulation

An Object Oriented System Meant to Become a Successor to S3 and S4

Common S3 Generics not Provided by Base R Methods Related to Model Fitting

Functional Programming Tools

Tidy Messy Data

Simple, Consistent Wrappers for Common String Operations

Methods to Convert R Data to YAML and Back

Parsing and Evaluation Tools that Provide More Details than the Default

Unit Testing for R

Application Directories: Determine Where to Save Data, Caches, and Logs

Easily Install and Load the 'Tidyverse'

Tools for Working with URLs and HTTP

Find Differences Between R Objects

Flexibly Reshape Data: A Reboot of the Reshape Package

Tools for Splitting, Applying and Combining Data

Lazy (Non-Standard) Evaluation

A 'dplyr' Back End for Databases

Perform HTTP Requests and Process the Responses

Tools for Working with Categorical Variables (Factors)

Import and Export 'SPSS', 'Stata' and 'SAS' Files