Data Manipulation Extensions of 'Dplyr' and 'Tidyr'

If 'dplyr' is a grammar for data manipulation, 'extdplyr' is like a short paragraph written in 'dplyr'. 'extdplyr' extends 'dplyr' and 'tidyr' verbs to some common "routines" that manipulate data sets. It uses the same interface and preserves all the features from 'dplyr', has good performance, and supports various data sources.

extdplyr is an extension package for data manipulation based on dplyr and tidyr.

If dplyr is a grammar for data manipulation, extdplyr is like a short paragraph written in dplyr. extdplyr extends dplyr and tidyr verbs to some common "routines" that manipulate datasets. It uses a similar interface and preserves all features from the underlying dplyr functions like their fast performance and a variety of data backends.

Motivation

dplyr is powerful but also restrained in that it aims to provide the most important tools, but not to suit every needs. After several years of extensive use of dplyr, I found that some combinations of dplyr verbs become too frequent in my code that I wanted to extract them as functions. This is the origin of those routines in extdplyr.

Also there are some cases where the operations don't conform to dplyr's rules. Naturally one wouldn't expect these operations to be included into dplyr, but they can be implemented here for the occasional use.