Some surveys ship several linked fixed-width files that share a respondent key (e.g. GSS cycle 16, "Aging and Social Support", 2002, whose MAIN, CG4, CG6 and CR files all join on `RECID`, with the person weight `WGHT_PER` living only in MAIN). `get_pumf()` returns the survey's primary module; `pumf_module()` returns one of its sibling modules **on the same DuckDB connection**, so the two tbls are joinable on the shared key without opening a second connection.
Examples
# \donttest{
main <- get_pumf("GSS", "Cycle 16 (2002)") # primary module (MAIN), has WGHT_PER
#> GSS/Cycle 16 (2002) is a multi-module survey; you loaded the primary module. Other linked modules: CG4, CG6, CR.
#> Open one on the same connection with pumf_module(), e.g.:
#> cg4 <- pumf_module(main, "CG4")
if (!is.null(main)) {
cg4 <- pumf_module(main, "CG4") # caregiving module, same connection
dplyr::left_join(main, cg4, by = "RECID")
close_pumf(main)
}
#> GSS/Cycle 16 (2002) modules join on 'RECID' (e.g. dplyr::inner_join(main, CG4, by = "RECID")).
# }
