#' extract demo data
#'
#' @param data data
#' @param years years
#' @param ageyr logical or variable name
#' @param agemth logical or variable name
#' @param sex logical or variable name
#' @param eth1 logical or variable name
#' @param eth2 logical or variable name
#' @param eth3 logical or variable name
#' @param military logical or variable name
#' @param country_of_birth logical or variable name
#' @param citizenship logical or variable name
#' @param time_in_US logical or variable name
#' @param edu logical or variable name
#' @param in_school logical or variable name
#' @param marital logical or variable name
#' @param household_size logical or variable name
#' @param family_size logical or variable name
#' @param annual_household_income logical or variable name
#' @param annual_family_income logical or variable name
#' @param poverty logical or variable name
#' @param psu logical or variable name
#' @param strata logical or variable name
#' @param wtint2yr logical or variable name
#' @param wtint4yr logical or variable name
#' @param wtmec2yr logical or variable name
#' @param wtmec4yr logical or variable name
#' @param Year logical
#' @param status logical
#' @param exam_month logical
#'
#' @return dataframe
#' @export
#'
attach_demo <- function(data,years,
ageyr,
agemth,
sex,
eth1,
eth2,
eth3,
military,
country_of_birth ,
citizenship,
time_in_US,
edu,
in_school,
marital,
household_size,
family_size,
annual_household_income,
annual_family_income,
poverty,
status,
exam_month,
psu,
strata,
wtint2yr,
wtint4yr,
wtmec2yr,
wtmec4yr,
Year=FALSE
){
years <- data_years(data,years)
tsv <- nhs_tsv('demo',years = years,cat=FALSE)
if (!missing(edu)){
if (isFALSE(edu)){
eduname <- 'edu'
}else if(isTRUE(edu)){
eduname <- 'edu'
}else if(edu =='-u' & nchar(edu)==2){
eduname <- 'edu'
}else if(edu =='-u' & nchar(edu)>2){
edu <- '-u'
eduname <- do::knife_right(edu,2)
}else if(is.character(edu)){
edu <- TRUE
eduname <- edu
}
}
var <- c()
var <- var |>
attach_variable_formula(ageyr,'ridageyr') |>
attach_variable_formula(agemth,'ridagemn') |>
attach_variable_formula(sex,'riagendr') |>
attach_variable_formula(eth1,'ridreth1') |>
attach_variable_formula(eth2,'ridreth2') |>
attach_variable_formula(eth3,'ridreth3') |>
attach_variable_formula(edu,'dmdeduc2') |>
attach_variable_formula(edu,'dmdeduc3') |>
attach_variable_formula(military,'dmqmilit,dmqmiliz') |>
attach_variable_formula(country_of_birth,'dmdborn,dmdborn2,dmdborn4') |>
attach_variable_formula(citizenship,'dmdcitzn') |>
attach_variable_formula(time_in_US,'dmdyrsus') |>
attach_variable_formula(in_school,'dmdschol') |>
attach_variable_formula(marital,'dmdmartl,dmdmartz') |>
attach_variable_formula(household_size,'dmdhhsiz') |>
attach_variable_formula(family_size,'dmdfmsiz') |>
attach_variable_formula(annual_household_income,'indhhinc,indhhin2') |>
attach_variable_formula(annual_family_income,'indfminc,indfminc2') |>
attach_variable_formula(poverty,'indfmpir') |>
attach_variable_formula(status,'ridstatr') |>
attach_variable_formula(exam_month,'ridexmon') |>
attach_variable_formula(psu,'sdmvpsu') |>
attach_variable_formula(strata,'sdmvstra') |>
attach_variable_formula(wtint2yr,'wtint2yr') |>
attach_variable_formula(wtint4yr,'wtint4yr') |>
attach_variable_formula(wtmec2yr,'wtmec2yr') |>
attach_variable_formula(wtmec4yr,'wtmec4yr')
var[var %in% c("dmdeduc2:edu", "dmdeduc3:edu")] <- c("dmdeduc2", "dmdeduc3")
var[var %in% c("dmdeduc2:edu-u", "dmdeduc3:edu-u")] <- c("dmdeduc2-u", "dmdeduc3-u")
d <- nhs_read(tsv,var,cat = FALSE,Year = Year)
if (all(c('dmdeduc2','dmdeduc3') %in% colnames(d))){
d$edu <- ifelse(is.na(d$dmdeduc2),d$dmdeduc3,d$dmdeduc2)
d <- drop_col(d,'dmdeduc2','dmdeduc3')
colnames(d)[colnames(d)=='edu'] <- eduname
}
attach_return_data(data,d,Year,'seqn')
}
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