column.cut: Cut numeric column and assign labels to bins

In davidthaler/PUMSutils: Computes Point Estimates and Standard Errors on the ACS PUMS Data

Description

Cuts a numeric column using Hmisc::cut2 and optionally assigns different labels to the levels produced. If labels are provided, there must be as many of them as there are levels.

Usage

column.cut(x, field, cuts, labels = NULL)

Arguments

x	input data frame
field	name of numeric column in x to cut
cuts	cut points. If cuts does not cover the range of the data, then extra bins will be returned on the ends.
labels	optional character vector of level labels. If used, must be same length as the factor produced.

Value

factor with binned values for x[[field]] and the names from labels

Examples

med.inc <- acs.median(wa.house16, 'HINCP')
cuts <- med.inc * c(0.3, 0.5, 0.8, 1.2)
labels <- c('0-30 AMI', '30-50 AMI', '50-80 AMI', '80-120 AMI', '>120 AMI')
wa.house16$Income.Band <- column.cut(wa.house16, 'HINCP', cuts=cuts, labels=labels)
group.count(wa.house16, 'Income.Band', drop.na.group=TRUE)

davidthaler/PUMSutils documentation built on July 13, 2019, 9:58 a.m.