Reputation: 329
I'd like to subtract specific columns within a list. I'm still learning how to properly use the apply functions. For example, given
> b <- list(data.frame(12:16, 3*2:6), data.frame(10:14, 2*1:5))
> b
[[1]]
X12.16 X3...2.6
1 12 6
2 13 9
3 14 12
4 15 15
5 16 18
[[2]]
X10.14 X2...1.5
1 10 2
2 11 4
3 12 6
4 13 8
5 14 10
I'd like some function x so that I get
> x(b)
[[1]]
X12.16 X3...2.6 <newcol>
1 12 6 6
2 13 9 4
3 14 12 2
4 15 15 0
5 16 18 -2
[[2]]
X10.14 X2...1.5 <newcol>
1 10 2 8
2 11 4 7
3 12 6 6
4 13 8 5
5 14 10 4
Thanks in advance.
Upvotes: 1
Views: 738
Reputation: 18661
with dplyr
:
library(dplyr)
lapply(b, function(x) x %>% mutate(new_col = .[[1]]-.[[2]]))
Result:
[[1]]
X12.16 X3...2.6 new_col
1 12 6 6
2 13 9 4
3 14 12 2
4 15 15 0
5 16 18 -2
[[2]]
X10.14 X2...1.5 new_col
1 10 2 8
2 11 4 7
3 12 6 6
4 13 8 5
5 14 10 4
Upvotes: 0
Reputation: 3200
Here is a solution:
lapply(b, function(x) {
x[, 3] <- x[, 1] - x[, 2]
x
})
[[1]]
X12.16 X3...2.6 V3
1 12 6 6
2 13 9 4
3 14 12 2
4 15 15 0
5 16 18 -2
[[2]]
X10.14 X2...1.5 V3
1 10 2 8
2 11 4 7
3 12 6 6
4 13 8 5
5 14 10 4
Upvotes: 1
Reputation: 206197
If your data.frames had nice and consistent names, you could use transform
with lapply
b <- list(data.frame(a=12:16, b=3*2:6), data.frame(a=10:14, b=2*1:5))
lapply(b, transform, c=a-b)
Upvotes: 4