auto_bin: Calculate appropriate bin separators for vpc

In ronkeizer/vpc: Create Visual Predictive Checks

Calculate appropriate bin separators for vpc

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 debugging information (TRUE or FALSE)
...	arguments passed on to underlying binning functions

Value

A vector of bin separators

ronkeizer/vpc documentation built on May 11, 2023, 11:09 p.m.