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:
-
Functions that work directly on the raw data, and work with hundreds of thousands of observations.
-
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.
You can install ggstat from github with:
# install.packages("devtools")
devtools::install_github("hadley/ggstat")