bin: Fast binning of numeric vector into equidistant bins

In MESS: Miscellaneous Esoteric Statistical Scripts

Fast binning of numeric vector into equidistant bins

Description

Fast binning of numeric vector into equidistant bins

Usage

bin(x, width, origin = 0, missinglast = FALSE)

Arguments

x	A matrix of regressor variables. Must have the same number of rows as the length of y.
width	The width of the bins
origin	The starting point for the bins. Any number smaller than origin will be disregarded
missinglast	Boolean. Should the missing observations be added as a separate element at the end of the returned count vector.

Details

Missing values (NA, Inf, NaN) are added at the end of the vector as the last bin returned if missinglast is set to TRUE

Value

An list with elements counts (the frequencies), origin (the origin), width (the width), missing (the number of missings), and last_bin_is_missing (boolean) telling whether the missinglast is true or not.

Author(s)

Hadley Wickham (from SO: https://stackoverflow.com/questions/13661065/superimpose-histogram-fits-in-one-plot-ggplot) - adapted here by Claus Ekstrøm <[e-mail]>

Examples

set.seed(1)
x <- sample(10, 20, replace = TRUE)
bin(x, 15)

MESS documentation built on Aug. 21, 2023, 1:05 a.m.