How can I avoid nested 'for' loops or quicken the process?

Hi All,

I'm still pretty new to using R - and I was hoping I might be able to get
some advice as to how to use 'apply' or a similar function instead of using
nested for loops.

Unfortunately, you have given nothing that is reproducible.

The details of MyFunction and the exact structure of the list objects are 
crucial.

Check out the _Posting Guide_ for hints on how to formulate a question 
that will elecit an answer that helps you.

HTH,

Chuck

Right now I have a script which uses nested for loops similar to this:

i <- 1
for(a in Alpha) { for (b in Beta) { for (c in Gamma) { for (d in Delta) {
for (e in Epsilon)
 {
      Output[i] <- MyFunction(X, Y, a, b, c, d, e)
       i <- i+1
 }}}}}


Where Output[i] is a data frame, X and Y are data frames, and Alpha, Beta,
Gamma, Delta, and Epsilon are all lists, some of which are numeric, some
logical (TRUE/FALSE).

Any advice on how to implement some sort of solution that might be quicker
than these nested 'for' loops would be greatly appreciated.

Thanks!

	[[alternative HTML version deleted]]

______________________________________________
R-help at r-project.org 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.

Charles C. Berry                            (858) 534-2098
                                             Dept of Family/Preventive Medicine
E mailto:cberry at tajo.ucsd.edu	            UC San Diego
http://famprevmed.ucsd.edu/faculty/cberry/  La Jolla, San Diego 92093-0901

I do agree with Dr Berry that your question failed on several grounds  
in adherence to the Posting Guide, so this is off list.

Maybe this will give you  guidance that you can apply to your next  
question to the list:

 > alist <- list("a","b","c")
 > blist <- list("ab","ac","ad")

 > expand.grid(alist, blist)
   Var1 Var2
1    a   ab
2    b   ab
3    c   ab
4    a   ac
5    b   ac
6    c   ac
7    a   ad
8    b   ad
9    c   ad

 > apply( expand.grid(alist, blist), 1, function(x) paste(x[1], x[2],  
sep=""))
[1] "aab" "bab" "cab" "aac" "bac" "cac" "aad" "bad" "cad"

 > clist <- list("AA","BB")

 > apply(expand.grid(alist, blist, clist),1,function(x) paste(x[1],  
x[2], x[3], sep=""))
  [1] "aabAA" "babAA" "cabAA" "aacAA" "bacAA" "cacAA" "aadAA" "badAA"  
"cadAA" "aabBB"
[11] "babBB" "cabBB" "aacBB" "bacBB" "cacBB" "aadBB" "badBB" "cadBB"

 > dlist <- list(TRUE,FALSE)

 > apply(expand.grid(alist, blist, clist, dlist),1,function(x)  
paste(x[1], x[2], x[3], (x[4]), sep=""))[8:12]
[1] "badAATRUE" "cadAATRUE" "aabBBTRUE" "babBBTRUE" "cabBBTRUE"


This could get unwieldily if the length of the lists are appreciable,  
since the number of rows will be the product of all the lengths. On  
the other hand you could create a dataframe indexed by the variables  
in expand.grid's output:

 >  master.df <- data.frame( expand.grid(alist, blist, clist, dlist),
                             results = apply(expand.grid(alist, blist,  
clist,dlist),1,
                                     function(x) paste(x[1], x[2],  
x[3], (x[4]), sep="")))

David Winsemius

On Dec 22, 2008, at 3:33 PM, Charles C. Berry wrote:

> On Mon, 22 Dec 2008, Brigid Mooney wrote:
>
>> Hi All,
>>
>> I'm still pretty new to using R - and I was hoping I might be able  
>> to get
>> some advice as to how to use 'apply' or a similar function instead  
>> of using
>> nested for loops.
>
> Unfortunately, you have given nothing that is reproducible.
>
> The details of MyFunction and the exact structure of the list  
> objects are crucial.
>
> Check out the _Posting Guide_ for hints on how to formulate a  
> question that will elecit an answer that helps you.
>
> HTH,
>
> Chuck
>
>
>>
>> Right now I have a script which uses nested for loops similar to  
>> this:
>>
>> i <- 1
>> for(a in Alpha) { for (b in Beta) { for (c in Gamma) { for (d in  
>> Delta) {
>> for (e in Epsilon)
>> {
>>      Output[i] <- MyFunction(X, Y, a, b, c, d, e)
>>       i <- i+1
>> }}}}}
>>
>>
>> Where Output[i] is a data frame, X and Y are data frames, and  
>> Alpha, Beta,
>> Gamma, Delta, and Epsilon are all lists, some of which are numeric,  
>> some
>> logical (TRUE/FALSE).
>>
>> Any advice on how to implement some sort of solution that might be  
>> quicker
>> than these nested 'for' loops would be greatly appreciated.
>>
>> Thanks!
>>
>> 	[[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help at r-project.org 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.
>>
>
> Charles C. Berry                            (858) 534-2098
>                                            Dept of Family/Preventive  
> Medicine
> E mailto:cberry at tajo.ucsd.edu	            UC San Diego
> http://famprevmed.ucsd.edu/faculty/cberry/  La Jolla, San Diego  
> 92093-0901
>
> ______________________________________________
> R-help at r-project.org 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.