Hello R gurus,
I have a simple routine using for loops that i was just trying to make it
faster
y <- rnorm(10)
Nindiv <- 10
x <-matrix(sample(c(0:2),50,re = T),10)
gtemp <- rnorm(10)
ycorr <- array(0,c(Nindiv,1))
for (i in 1:Nindiv) {
for (k in 1:ncol(x)) {
ycorr[i] <- y[i] - x[i,k]*gtemp[k]
}
}
It works fine but I wanted to make it faster and I think an apply function
could probably solve this problem.
Any suggestions? Thanks
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