auto_bin: Calculate appropriate bin separators for vpc

In vpc: Create Visual Predictive Checks

Description

This function calculates bin separators either using R's native binning approaches available in the classInt library such as 'kmeans', 'jenks', 'pretty' etc. Alternatively, a custom approach is available which is based on finding the nadirs in the density functions for the independent variable. Default approach is k-means clustering.

Usage

auto_bin(dat, type = "kmeans", n_bins = 8, verbose = FALSE, ...)

## S3 method for class 'numeric'
auto_bin(dat, type = "kmeans", n_bins = 8, verbose = FALSE, ...)

## S3 method for class 'data.frame'
auto_bin(dat, type = "kmeans", n_bins = 8, verbose = FALSE, ...)

Arguments

dat	data frame
type	auto-binning type: "density", "time", or "data"
n_bins	number of bins to use; either a positive integer or "auto". For "density" the function might not return a solution with the exact number of bins.
verbose	show warnings and other messages (TRUE or FALSE)
...	arguments passed on to underlying binning functions

Value

A vector of bin separators

vpc documentation built on Jan. 16, 2021, 5:44 p.m.