Dear Alex,
Is this what you want?
# Data set
my=read.table(textConnection("
X8 X9 X10 X102 X110 X177 X283 X284 X286 X292 X297 X306 X308 X314
0 1 0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0 1 0
0 1 0 0 0 0 0 0 0 0 0 0 1 0
1 0 0 0 1 0 0 0 0 1 0 0 0
0"),header=TRUE)
closeAllConnections()
rownames(my)=paste('s',1:4,sep="")
# Samples
res=list()
for(i in 1:5) res[[i]]<- my[,sample(colnames(my),5)]
res
HTH,
Jorge
On Wed, Oct 15, 2008 at 10:07 AM, Alex99 <[EMAIL PROTECTED]> wrote:
>
> Hi everyone,
>
> I have a dataset(named "Mydata") which includes 4 different variables
> named;
> s1,s2,s3,s4 .Each variable(symptom) has 14 patients.
> I need to use random sampling to make, 5 different samples from my data
> with
> 5 patients in each sample. i.e. using all 4 variables I need to make 5
> different samples by changing patients(with 5 patients in each sample).
>
>
> X8 X9 X10 X102 X110 X177 X283 X284 X286 X292 X297 X306 X308 X314
> s1 0 1 0 0 0 1 0 0 0 0 0 0 0 0
> s2 0 0 0 0 1 0 0 0 0 0 0 0 1 0
> s3 0 1 0 0 0 0 0 0 0 0 0 0 1 0
> s4 1 0 0 0 1 0 0 0 0 1 0 0 0 0
>
>
> I used this code:
>
> temp=list(NULL)
> for(i in 1:5) {temp[i]<-sample(Mydata,5, replace=F)} show(temp)
>
> but I get the following error:
> "number of items to replace is not a multiple of replacement length"
>
> any idea why I get this eeror message and how can I fix it?
> Thanks a lot.
>
> --
> View this message in context:
> http://www.nabble.com/Help-Help-with-sampling-tp19994275p19994275.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help@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.
>
[[alternative HTML version deleted]]
______________________________________________
R-help@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.
