I think this does what your loop is doing.  Take about 0.5 seconds.

> system.time(
+ result <- lapply(xs, function(.val){
+     .sums <- filter(.val, rep(1,5))  # add 5 connected values together
+     .sums[-c(1,2,length(.sums)-1, length(.sums))]
+ })
+ )
[1] 0.50 0.00 0.54   NA   NA
>



On 1/30/06, Constantine Tsardounis <costas.magnuse@gmail.com> wrote:
>
> Hello, good morning or evening!...
>
> After studying some of the examples at S-poetry Document, I tried to
> implement some of the concepts in my R script, that intensively uses
> looping constructs. However I did not manage any improvement.
> My main problem is that I have a list of a lot of data e.g.:
> > xs
> [[1]]
> [1]........................[1000]
> [[2]]
> [1]........................[840]
> ...
> [[50]]
> [1]........................[945]
>
>
> Having a script with loops inside loops (for example in a Monte-Carlo
> simulation) takes a lot of minutes before it is completed. Is there
> another easier way to perform functions for each of the [[i]]  ? Using
> probably apply? or constructing a specific function? or using the
> so-called "vectorising" tricks?
>
> One example could be the following,  that calculates the sums 1:5,
> 2:6, 3:7,...,  for each of xs[[i]] :
>
> xs <- lapply(1:500,  function(x) rnorm(1000))
> totalsum <- list()
> sums <- list()
> first <- list()
>
> for(i in 1:length(xs)) {
> totalsum[i] <- sum(xs[[i]])
>        for(j in 1:length(xs[[i]])) {
>                if(j == 1) {
>                        sums[[i]] <- list()
>                        }
>                if(j >= 5) {
>                        sums[[i]][j] <- sum(xs[[i]][(j-4):j])
>                        }
>                }
> }
>
> Of course the functions I actually call are more complicated,
> increasing the total time of calculations to a lot of minutes,...
>
> << 1 >>. How could I optimize (or better eliminate?...) the above
> loop? Any other suggestions for my scripting habits?
>
> Another problem that I am facing is that calculating a lot of lists
> (>50), that contain results of various econometric tests of all the
> variables, in the form of
>
>   example.list[[i]] <- expression
>
> demands more than 50 lines at the beginning of the script that
> "initiate" the lists (e.g.
> example.list.1 <- list()
> example.list.2 <- list()
> ...
> example.list.50 <- list()
>
> << 2 >>.    Is there a way to avoid that?
>
>
> Thank you very very much in advance,
>
> Constantine  Tsardounis
>
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>



--
Jim Holtman
Cincinnati, OH
+1 513 247 0281

What the problem you are trying to solve?

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