clean_acs_micro: Process ACS microdata from IPUMS.
In greaterlouisvilleproject/glptools: Tools for analysis of Greater Louisville Project data
clean_acs_micro R Documentation
Process ACS microdata from IPUMS.
Description
Adds FIPS codes and the Tulsa MSA code, if appropriate. Process race, sex, and education variables if present.
Usage
clean_acs_micro(df, gq = T, pull_peers = T, remove_vars = T)
Arguments
df
A dataframe of microdata from IPUMS.
gq
Include group quarters residents? Defaults to FALSE.
pull_peers
Subset the data to peers? Defaults to TRUE.
Subsets to peer MSAs if present. Otherwise, subsets to peers counties.
greaterlouisvilleproject/glptools documentation built on Feb. 9, 2025, 11:21 a.m.
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| clean_acs_micro | R Documentation |
Process ACS microdata from IPUMS.
Description
Adds FIPS codes and the Tulsa MSA code, if appropriate. Process race, sex, and education variables if present.
Usage
clean_acs_micro(df, gq = T, pull_peers = T, remove_vars = T)
Arguments
df |
A dataframe of microdata from IPUMS. |
gq |
Include group quarters residents? Defaults to |
pull_peers |
Subset the data to peers? Defaults to |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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