https://github.com/wangyuchen/extdplyr

Data Manipulation Extension based on dplyr and tidyr
https://github.com/wangyuchen/extdplyr

Last synced: 5 months ago
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Data Manipulation Extension based on dplyr and tidyr

• Host: GitHub
• URL: https://github.com/wangyuchen/extdplyr
• Owner: wangyuchen
• License: other
• Created: 2017-02-12T06:51:12.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2020-04-20T00:55:12.000Z (about 5 years ago)
• Last Synced: 2024-08-13T07:15:08.627Z (8 months ago)
• Language: R
• Size: 43.9 KB
• Stars: 4
• Watchers: 1
• Forks: 1
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• jimsghstars - wangyuchen/extdplyr - Data Manipulation Extension based on dplyr and tidyr (R)

README

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

[![Travis-CI Build Status](https://travis-ci.org/wangyuchen/extdplyr.svg?branch=master)](https://travis-ci.org/wangyuchen/extdplyr)

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 the same interface and preserves all features from `dplyr` like fast performance and various data sources.

### 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 comform 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.