I have the following data frame:
y <- data.frame(group = letters[1:5], a = rnorm(5) , b = rnorm(5), c = rnorm(5), d = rnorm(5) )
How to
You could use apply
> apply(y[,-1],1,function(x) cor(x[1:2],x[3:4]))
[1] -1 -1 1 -1 1
Or ddply
(although this might be overkill, and if two rows have the same group
it will do the correlation of columns a&b and c&d for both those rows):
> ddply(y,.(group),function(x) cor(c(x$a,x$b),c(x$c,x$d)))
group V1
1 a -1
2 b -1
3 c 1
4 d -1
5 e 1