https://github.com/hadley/ggstat

Statistical computations for visualisation
https://github.com/hadley/ggstat

Last synced: 9 months ago
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Statistical computations for visualisation

• Host: GitHub
• URL: https://github.com/hadley/ggstat
• Owner: hadley
• Created: 2014-11-11T20:06:07.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2016-05-09T22:29:18.000Z (over 9 years ago)
• Last Synced: 2025-04-14T04:16:52.041Z (9 months ago)
• Language: C++
• Size: 89.8 KB
• Stars: 70
• Watchers: 6
• Forks: 12
• Open Issues: 8
• Metadata Files:
  • Readme: README.md

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README

          
# ggstat

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

[![Coverage Status](https://img.shields.io/codecov/c/github/hadley/ggstat/master.svg)](https://codecov.io/github/hadley/ggstat?branch=master)

[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/ggstat)](https://cran.r-project.org/package=ggstat)

The goal of ggstat is to extract out useful statistical transformations needed by visualisation tools and make them as fast as possible.

ggstat will provides two families of functions:

1.  Functions that work directly on the raw data, and work with hundreds of

    thousands of observations.

   

1.  Functions follow the [bigvis](http://vita.had.co.nz/papers/bigvis.html)

    philosophy of bin-summarise-smooth, that scale to millions of observations.

ggstat provides a low-level vector-based interface. Functions have at most three vector inputs (`x`, `y`, and `wt`), as well as parameters that control the operation of the function. Each summary function is paired with a parameter function that will guess reasonable defaults from data. All functions return a data frame with consistent variable names and types. Most people will use ggstat via a visualisation package like [ggplot2](http://ggplot2.org) or [ggvis](http://ggvis.rstudio.com): using ggstat directly will general be frustrating because you have to call multiple functions to get the job done.

## Installation

You can install ggstat from github with:

```R

# install.packages("devtools")

devtools::install_github("hadley/ggstat")

```