acs.recode: Rewrite variable levels using data dictionary

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

Description

In the ACS PUMS data, many fields are integer-coded categoricals. There is a data dictionary (a text document) that describes the mapping from integers to level definitions. Function acs.recode takes the data dicitonary as a string and uses it to construct a factor variable that recodes integer levels to the text definitions given in the data dictionary.

Usage

acs.recode(x, field, dd, max.len = NULL)

Arguments

x	ACS PUMS data frame
field	column name for a variable in the ACS PUMS data
dd	the ACS data dictionary loaded as a string
max.len	max length of description in characters, default is all

Value

factor column with integer levels in x[field] replaced with the desciption for that level from the data dictionary.

Examples

wa.pop16$employment <- acs.recode(wa.pop16, 'ESR', data.dict16, max.len=40)
group.count(wa.pop16, 'employment')

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