discretizes: Discretize a continuous vector

In brightchan/cjbmisc:

Description

A group of functions to divide continous numeric vectors into discret parts. Similar to quantile then cut but easier to use.

• discretize: cut a vector by a function or by certain cutoff value using cut.
  Return a factor by replacing the original ones with the discrete value regions (<=xxx, xxx-xxx, >xxx).
  NOTE: NAs are automatically removed

• trisect: quantile a vector into three equal parts. To be used with discretize: discretize(x,trisect)

Usage

discretize(x, cutoff, label = NULL, include.lowest = TRUE, summary = FALSE)

trisect(x, na.rm = FALSE)

Arguments

x	numeric vector
cutoff	numeric value (single or vector) as cutting point(s) (Don't include min or maximum), or a function generating one cutting points (median, mean, etc) or multiple cutting points which include (quantile).
label	change the default output region labels to customized labels
include.lowest	see cut parameter include.lowest
summary	when TRUE, message a summary of the count of each discrete items.

Examples

discretize(rnorm(20),trisect,summary=TRUE)
discretize(rnorm(20),mean,label=c("low","high"),summary=TRUE)

brightchan/cjbmisc documentation built on Nov. 5, 2021, 4:12 p.m.