data=data.frame("x1"=c(1:10),
"x2"=c(1:4,4,6:10),
"x3"=c(1:3,2:5,5:7),
"x4"=c(21:30),
"x5"=c(35:44))
recode=c("x1","x2","x3")
data <- data[recode %in% c(4,5)] <- NA
I want to store a specific set of variables for example above I store x1,x2,x3 in 'recode'. Then I want to change all the values for all variables in recode such that any value of 4 or 5 is set to NA.
We need to use replace
with lapply
data[recode] <- lapply(data[recode], function(x) replace(x, x %in% 4:5, NA))
data
# x1 x2 x3 x4 x5
#1 1 1 1 21 35
#2 2 2 2 22 36
#3 3 3 3 23 37
#4 NA NA 2 24 38
#5 NA NA 3 25 39
#6 6 6 NA 26 40
#7 7 7 NA 27 41
#8 8 8 NA 28 42
#9 9 9 6 29 43
#10 10 10 7 30 44
Or with dplyr
library(dplyr)
data %>%
mutate_at(vars(recode), ~ na_if(., 4)) %>%
mutate_at(vars(recode), ~ na_if(., 5))
# x1 x2 x3 x4 x5
#1 1 1 1 21 35
#2 2 2 2 22 36
#3 3 3 3 23 37
#4 NA NA 2 24 38
#5 NA NA 3 25 39
#6 6 6 NA 26 40
#7 7 7 NA 27 41
#8 8 8 NA 28 42
#9 9 9 6 29 43
#10 10 10 7 30 44