Dear useRs?



I have the following problem! I have a function that calls one or more
functions, depending on the input parameters. I am searching for the fastest
way to select and execute the selected functions and return their results in
a list. The number of possible functions is 10, however usually only 2 are
selected (although sometimes more, even all).



For examples, if I have function "myf" and the possible functions that I
want to call are "mean", "max" and "sum". I have thought of one way (myf) to
do that and am interested if there maybe exists a faster way (the speed is
very important, since this can be repeated millions of times in my
function).





myf<-function(FUN, x){

       f<-list(mean=mean, max=max, sum=sum)

       res<- vector( mode="list")

       for(i in FUN){

               res[[i]]<-f[[i]](x)

       }

       return(res)

}

myf(FUN=c("mean","max"),x=1:10)





In this case, it would be faster if I would compute all functions, even if I
need only one:

myf.all<-function(x){

       list(mean=mean(x), max=max(x), sum=sum(x))

}



> gc();system.time(for(i in 1:10000)myf.all(1:20))

     used (Mb) gc trigger (Mb) max used (Mb)

Ncells 165659 4.5   350000 9.4  350000 9.4

Vcells 61135 0.5   786432 6.0  283043 2.2

[1] 0.90 0.00 1.08  NA  NA

> gc();system.time(for(i in 1:10000)myf(FUN="mean",1:20))

     used (Mb) gc trigger (Mb) max used (Mb)

Ncells 165659 4.5   350000 9.4  350000 9.4

Vcells 61135 0.5   786432 6.0  283043 2.2

[1] 1.14 0.00 1.40  NA  NA



This does (usually) not happen in my case, since most of functions I
consider are more complex.



Thanks in advance for any suggestions!


Best regards,

Ales Ziberna

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