Is this what you mean?
# Sample data
sample_df <- data.frame(
ID = c(1,2,3,4,5,6,7,8,9,10,11,12,13,
14,15,16,17,18,19),
X = c(1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1),
Y = c(0, NA, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1),
Z = c(NA,NA,NA,NA,1,1,NA,NA,1,1,1,1,
NA,0,NA,NA,1,NA,0)
)
my_func <- function(dat,var1,var2){
dat[[var2]] <- ifelse(is.na(dat[[var1]]), NA, dat[[var2]])
print(dat[[var2]])
}
my_func(sample_df, "Y", "Z")
#> [1] NA NA NA NA 1 1 NA NA 1 1 1 1 NA 0 NA NA 1 NA 0
Created on 2021-12-02 by the reprex package (v2.0.1)
If this doesn't solve your problem, please provide a proper REPRoducible EXample (reprex) illustrating your issue.