R/RH_PAHC_W_MON.R

In surveyPrev: Mapping the Prevalence of Binary Indicators using Survey Data in Small Areas

#'RH_PAHC_W_MON
#'IRdata
#'Problems in accessing health care: Getting money for treatment
#'
#'
#' @param Rdata  data.frame from surveyPrev::getDHSdata
#'
#' @return A partially processed data.frame that will be used in  surveyPrev::getDHSindicator. The whole function can be used as a parameter in surveyPrev::getDHSindicator
#'
#' @author Qianyu Dong
#' @examples
#' \dontrun{
#' dhsData <- getDHSdata(country = "Zambia",
#'                                  indicator = "FP_CUSA_W_MOD",
#'                                  year = 2018)
#' data <- getDHSindicator(dhsData, indicator = NULL,
#'                          FUN = surveyPrev::fp_cruse_mod)
#' }
#' @export
#'
RH_PAHC_W_MON <- function(Rdata){

  IRdata <- Rdata %>%
    mutate(wt = v005/1000000)
  # IRdata <- IRdata %>%
  #   mutate(rh_prob_permit =
  #            case_when(
  #              v467b %in% c(0,2,9, NA)   ~ 0 ,
  #              v467b ==1 ~ 1)) %>%
  #   set_value_labels(rh_prob_permit = c("Yes" = 1, "No"=0)) %>%
  #   set_variable_labels(rh_prob_permit = "Problem health care access: permission to go")


  # //Getting money
  IRdata <- IRdata %>%
    mutate(rh_prob_money =
             case_when(
               v467c %in% c(0,2,9, NA)   ~ 0 ,
               v467c ==1 ~ 1)) %>%
    set_value_labels(rh_prob_money = c("Yes" = 1, "No"=0)) %>%
    set_variable_labels(rh_prob_money = "Problem health care access: getting money")

  # # //Distance to facility
  # IRdata <- IRdata %>%
  #   mutate(rh_prob_dist =
  #            case_when(
  #              v467d %in% c(0,2,9, NA)   ~ 0 ,
  #              v467d ==1 ~ 1)) %>%
  #   set_value_labels(rh_prob_dist = c("Yes" = 1, "No"=0)) %>%
  #   set_variable_labels(rh_prob_dist = "Problem health care access: distance to facility")
  #
  # # //Not wanting to go alone
  # IRdata <- IRdata %>%
  #   mutate(rh_prob_alone =
  #            case_when(
  #              v467f %in% c(0,2,9, NA)   ~ 0 ,
  #              v467f ==1 ~ 1)) %>%
  #   set_value_labels(rh_prob_alone = c("Yes" = 1, "No"=0)) %>%
  #   set_variable_labels(rh_prob_alone = "Problem health care access: not wanting to go alone")
  #
  # # //At least one problem
  # IRdata <- IRdata %>%
  #   mutate(rh_prob_minone =
  #            ifelse(rh_prob_permit+rh_prob_money+rh_prob_dist+rh_prob_alone>=1,1,0)) %>%
  #   set_value_labels(rh_prob_minone = c("Yes" = 1, "No"=0)) %>%
  #   set_variable_labels(rh_prob_minone = "At least one problem in accessing health care")


  colnames(IRdata)[colnames(IRdata) == 'rh_prob_money'] <- "value"

  return(IRdata)
}