Sorry, that second line of code won't work: do it in 2.
f <- function() {return(sample(1:5,3,replace=T/F))}
replicate(100,f())
Michael
On Wed, Aug 10, 2011 at 3:06 PM, R. Michael Weylandt <
michael.weyla...@gmail.com> wrote:
> To pick random elements to sample, you can just use the sample function
>
> sample(1:5,3,replace=T/F) # pick true or false as needed for your data.
>
> If you replicate this, you should have no problem.
>
> replicate(100,function() return(sample(1:5,3,replace=T/F)))
>
> This will be plenty fast, but if you get into very large scale boot
> strapping, you might want to vectorize the whole thing. That's easily done
> with replace = T (just take 3*100 samples and then convert the output vector
> to a matrix) but I'm not sure its quite as easy with replace = F.
>
> Hope this helps,
>
> Michael
>
>
> On Wed, Aug 10, 2011 at 2:37 PM, Vikram Chhatre
> <crypticline...@gmail.com>wrote:
>
>> Hello,
>>
>> I am a R beginner and hoping to obtain some hints or suggestions about
>> using permutations to sort a data set I have.
>>
>> Here is an example dataset:
>>
>>
>> Ind1 11 00 12 15 28
>> Ind2 21 33 22 67 52
>> Ind3 22 45 21 22 56
>> Ind4 11 25 74 77 42
>> Ind5 41 32 67 45 22
>>
>> This will be read into a variable using read.table. What I want to do
>> is permute these individuals and every time pick 3 individuals and
>> write them to a new variable. I want to do this 100 times so that in
>> the end I will have 100 tables containing data for 3 individuals each.
>> The data (for individuals) itself is not to be permuted, rather the
>> selection of individuals.
>>
>> I am guessing this is probably trivial to do. But I would appreciate
>> any advice on this matter.
>>
>> Thank you.
>> Vikram
>>
>> ______________________________________________
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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.
>>
>
>
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