cut_interval: Discretise numeric data into categorical

In duthedd/ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics

Description

cut_interval makes n groups with equal range, cut_number makes n groups with (approximately) equal numbers of observations; cut_width makes groups of width width.

Usage

cut_interval(x, n = NULL, length = NULL, ...)

cut_number(x, n = NULL, ...)

cut_width(x, width, center = NULL, boundary = NULL, closed = c("right",
  "left"))

Arguments

x	numeric vector
n	number of intervals to create, OR
length	length of each interval
...	other arguments passed on to cut
width	The bin width.
center, boundary	Specify either the position of edge or the center of a bin. Since all bins are aligned, specifying the position of a single bin (which doesn't need to be in the range of the data) affects the location of all bins. If not specified, uses the "tile layers algorithm", and sets the boundary to half of the binwidth. To center on integers, width = 1 and center = 0. boundary = 0.5.
closed	One of "right" or "left" indicating whether right or left edges of bins are included in the bin.

Author(s)

Randall Prium contributed most of the implementation of cut_width.

Examples

table(cut_interval(1:100, 10))
table(cut_interval(1:100, 11))

table(cut_number(runif(1000), 10))

table(cut_width(runif(1000), 0.1))
table(cut_width(runif(1000), 0.1, boundary = 0))
table(cut_width(runif(1000), 0.1, center = 0))

duthedd/ggplot2 documentation built on May 20, 2019, 11:13 a.m.