acs.boxplot: Make boxplot from ACS PUMS data

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

Description

Make a weighted boxplot of the distribution of a numeric field in the ACS PUMS data, partitioned by a categorical field.

Usage

acs.boxplot(data, x, y, title = NULL, xlab = NULL, ylab = NULL)

Arguments

data	ACS PUMS data for housing or population
x	(string) name of categorical variable in data to put on x-axis
y	(string) name of numeric variable in data for y-axis
title	optional plot title
xlab	optional x label
ylab	optional y label

Value

ggplot of the weighted distribution of y, partitioned by x

Examples

wa.house16$Beds <- clip.column(wa.house16, 'BDSP', 5)
acs.boxplot(wa.house16[!is.na(wa.house16$GRNTP),], 'Beds', 'GRNTP',
            title='Rent vs. Bedrooms', xlab='Beds (max. 5)',
            ylab='Gross Rent($)')

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