perhaps this?
M <- dim(data_m)[2]
for(j in 1:M){
for (i in 4:T) {
data_q[i-3,j]=sum(data_m[(i-3):i,j])
}
}
of course, you can vectorize this and speed it up significantly, but
there is something evil about premature optimization.
On Mar 2, 1:29 pm, Mohammad Sabr <[email protected]> wrote:
> I am trying to run a loop where I can sum parts of a matrix. For example, I
> want at each step in the loop to sum the the next 4-values of a vector. I
> tried to do the following but the result were wrong:
>
> for (i in 4:T) {
> data_q[i-3,]=sum(data_m[i-3,]:data_m[i,])}
>
>
> can anyone please direct me on what should I do to run this loop properly
>
> Thanks in advance
> [[alternative HTML version deleted]]
>
> ______________________________________________
> [email protected] mailing listhttps://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
______________________________________________
[email protected] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.