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##' CH_VACC_C_BCG Percentage of children 12-23 months who had received BCG vaccination
##' ms_afm_15 in github
##' KR
#' @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 Miaolei Bao, Yunhan Wu, Qianyu Dong
#' @examples
#' \dontrun{
#' dhsData <- getDHSdata(country = "Zambia", indicator = "CH_VACC_C_BCG", year = 2018)
#' }
#'
#' @export
CH_VACC_C_BCG<- function(Rdata){
KRdata <- Rdata %>%
mutate(wt = v005/1000000)
# age of child. If b19 is not available in the data use v008 - b3
if ("TRUE" %in% (!("b19" %in% names(KRdata))))
KRdata [[paste("b19")]] <- NA
if ("TRUE" %in% all(is.na(KRdata$b19)))
{ b19_included <- 0} else { b19_included <- 1}
if (b19_included==1) {
KRdata <- KRdata %>%
mutate(age = b19)
} else {
KRdata <- KRdata %>%
mutate(age = v008 - b3)
}
# *** Two age groups used for reporting.
KRdata <- KRdata %>%
mutate(agegroup =
case_when(
age>=12 & age<=23 ~ 1,
age>=24 & age<=35 ~ 2 )) %>%
set_value_labels(agegroup = c("12-23" = 1, "24-35"=2)) %>%
set_variable_labels(agegroup = "age group of child for vaccination")
# Selecting children
# Create subset of KRfile to select for children for VAC indicators
# Select agegroup 1 or agegroup 2
KRvac <- KRdata %>%
subset(agegroup==1 & b5==1) # select age group and live children
# *** BCG ***
# //BCG either source
KRvac <- KRvac %>%
mutate(CH_VACC_C_BCG =
case_when(h2%in%c(1,2,3) ~ 1, h2%in%c(0,8) ~ 0 )) %>%
set_value_labels(CH_VACC_C_BCG = c("Yes" = 1, "No"=0)) %>%
set_variable_labels(CH_VACC_C_BCG = "BCG vaccination according to either source")
colnames(KRvac)[colnames(KRvac) == 'CH_VACC_C_BCG'] <- 'value'
return(KRvac)
}
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