Hi Taby,
this is not best solution for sure but it will give you, maybe, some ideas
:)
I am also looking forward to see other solutions.
data<-data.frame(id=1:(165+42),x=rep(c("male","female"),c(42,165)))
f<-function(x) {
str.sample<-list()
for (i in 1:length(levels(x$x)))
{
str.sample[[i]]<-x[x$x==levels(x$x)[i]
,][sample(tapply(x$x,x$x,length)[i],20,rep=T),]
}
strat.sample<-do.call("rbind",str.sample)
return(strat.sample)
}
f(data)
repl<-list()
for(i in 1:1000)
{
repl[[i]]<-f(data)
}
repl
Andrija
On Thu, Mar 10, 2011 at 10:04 AM, taby gathoni <tab...@yahoo.com> wrote:
> Please note is with replacement
>
>
>
> From: taby gathoni <tab...@yahoo.com>
> To: R help <r-help@r-project.org>
> Sent: Thursday, March 10, 2011 11:53 AM
> Subject: [R] random sampling steps in R
>
> Dear all,
>
> Could someone assist me in random sampling steps/code in R? I have a main
> sample of 42 males and 165 females and I want to come up with about 1000
> samples of 20 males and 20 females from this main sample. While at it, i
> would also like to come up Accuracy Ratios (ARs) with corresponding
> confidence intervals.
>
> Please assist.
>
>
> Thanks so much,
>
> Taby
>
>
>
> [[alternative HTML version deleted]]
>
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
>
>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
> and provide commented, minimal, self-contained, reproducible code.
>
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and provide commented, minimal, self-contained, reproducible code.
