I want to conditionally create a new var = old var. My data looks like this:
id id2
1.1 1 1
1.2 2 2
1.3 3 3
1.4 4 4
1.5 NA 5
5.5 5 6
5.6 6 7
5.7 7 8
5.8 8 9
5.51 NA 10
9.9 9 11
9.10 10 12
9.11 11 13
9.4 NA 14
12.12 12 15
12.2 NA 16
13.13 13 17
13.14 14 18
13.15 15 19
13.16 16 20
How can I create a new var = id2 when id is missing? If id is not missing, id3 is missing.
id id2 id3
1.1 1 1
1.2 2 2
1.3 3 3
1.4 4 4
1.5 NA 5 5
5.5 5 6
5.6 6 7
5.7 7 8
5.8 8 9
5.51 NA 10 10
9.9 9 11
9.10 10 12
9.11 11 13
9.4 NA 14 14
12.12 12 15
12.2 NA 16 16
13.13 13 17
13.14 14 18
13.15 15 19
13.16 16 20
Thanks!!
Assuming that dat
is your data frame, you can do the following based on ifelse
in base R.
dat$id3 <- with(dat, ifelse(is.na(id), id2, NA))
Or
dat2 <- transform(dat, id3 = ifelse(is.na(id), id2, NA))
DATA
dat <- read.table(text = " id id2
1.1 1 1
1.2 2 2
1.3 3 3
1.4 4 4
1.5 NA 5
5.5 5 6
5.6 6 7
5.7 7 8
5.8 8 9
5.51 NA 10
9.9 9 11
9.10 10 12
9.11 11 13
9.4 NA 14
12.12 12 15
12.2 NA 16
13.13 13 17
13.14 14 18
13.15 15 19
13.16 16 20",
header = TRUE)
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