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ggstat

★ 70 Open GitHub ↗

Statistical computations for visualisation

// repository documentation

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# ggstat

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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")
```

ggstat

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