Re-read
?"["
(always better to read the docs before archives...)

and note in particular:

"[[ can be applied recursively to lists, so that if the single index i
is a vector of length p, alist[[i]] is equivalent to
alist[[i1]]...[[ip]] providing all but the final indexing results in a
list."

I agree -- it's terse. But it's accurate and complete.

-- Bert

On Thu, Mar 7, 2013 at 12:14 PM, Jeff Hollenbeck <holl...@peak.org> wrote:
> Dear R Users.
>
> This seems like a simple task, but I'm stuck.
>
> I have a list with 3 elements: (2 vectors and 1 matrix).  I wish to extract 
> each of these data elements using index subscripts and multiply them with a 
> vector multiplier.
>
> What I have:
>> betas
> [1] 0.01 0.01 0.01
>
>> LData[1]
> $int
>   [1] 1 1 1 1 1 1 1 1 1 1
> $date
>        [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
>   [1,]  152  153  154  155  156  157  158  159  160  161
>   [2,]  163  164  165  166  167  168  162  163  164  165
> $land
>   [1] 0 0 0 0 1 0 1 1 0 0
>
> What I'm trying to do:
> I would like to have the elements in the vector, betas[1:3] multiplied by 
> corresponding data elements in LData[[1:3]].
> This is how I initially try to do it, but does not work:
>
>> probs <- betas[1:3] * LData[[1:3]]
> Error in LData[[1:3]] : recursive indexing failed at level 2
>
> Apparently, the above is not allowed.  But, if I try
>
>> probs <- betas[1:3] * LData[1:3]
> Error in betas[1:3] * LData[1:3] :
>   non-numeric argument to binary operator
>
> I can see that the list keys get in the way of the multiplication operation.
>
> There just has to be a way to do this.  I have searched archives and find 
> plenty of examples of extracting data elements individually, and even 
> extraction of multiple vector elements (unfortunately one of mine is an 
> matrix), but not my situation.  In particular, no examples attempting to 
> vectorize the math operation.  yapply and mapply don't seem to be what I 
> want, but what I've read of them confuses me.  Want to avoid for loops, 
> unless its the only way.
>
> All help is much appreciated!
>
> Thanks.
>
> *******************************************************************
> Jeff P. Hollenbeck
> USGS Forest and Rangeland Ecosystem Science Center
> 3200 SW Jefferson Way
> Corvallis, OR 97331
> 541-750-0966
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm

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