README.md

In hadley/ggstat: Statistical Computations for Visualisation

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.

2. Functions follow the bigvis 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 or ggvis: 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:

# install.packages("devtools")
devtools::install_github("hadley/ggstat")

hadley/ggstat documentation built on May 17, 2019, 10:40 a.m.