I may have misread your original posting, I thought you were using the boot package but I don't see any function bootstrap. I also don't see any documentation for the sampler parameter.  What package are you using?  If it is possible, I am sure I will be corrected. 
 
Sorry, I can't be of more help, 
 
Dan

Daniel J. Nordlund
Research and Data Analysis
Washington State Department of Social and Health Services
Olympia, WA  98504-5204



 


________________________________

	From: Zaihra T [mailto:zaihra@uwindsor.ca] 
	Sent: Wednesday, March 26, 2008 8:56 AM
	To: Nordlund, Dan (DSHS/RDA); Jan T. Kim; R-help@r-project.org
	Subject: Re: [R] sample size in bootstrap(boot)
	
	

	Hi Dan,

	Thanks for response yes i do know that bootstrap samples generated by function boot are of the same size as original dataset but somewhere in the R-help threads i saw a suggestion that one can control sample size (n) by using the following command(plz see below) but my problem is it doesnt work it gives error ( error in : n * nboot : non-numeric argument to binary operator)

	bootstrap(data,statistic,sampler=samp.bootstrap(size=20))

	 this is what somebody on R help suggested... can we fix that error somehow ? 

	On Wed, 26 Mar 2008 08:26:22 -0700 "Nordlund, Dan (DSHS/RDA)" wrote: 
	> > -----Original Message----- 
	> > From: r-help-bounces@r-project.org 
	> > [mailto:r-help-bounces@r-project.org] On Behalf Of Zaihra T 
	> > Sent: Wednesday, March 26, 2008 7:57 AM 
	> > To: Jan T. Kim; R-help@r-project.org 
	> > Subject: ! [R] sample size in bootstrap(boot) 
	> > 
	> > 
	> > Hi, 
	> > 
	> > Can someone tell me how to control sample size (n) in 
	> > bootstrap function 
	> > boot in R. Can we give some option like we give for # 
	> > of repeated 
	> > samples(R=say 100). 
	> > 
	> > Will appreciate any help. 
	> > 
	> > thanks 
	> 
	> I don't believe so. Isn't one of the differences between the bootstrap and other kinds of 
	> resampling that the bootstrap samples with replacement a sample of the same size as the 
	> original data? You could use the function sample() to select your subsets and compute your 
	> statistics of interest. 
	> 
	> Hope this is helpful, 
	> 
	> Dan 
	> 
	> Daniel J. Nordlund 
	> Research and Data Analysis 
	> Washington State Department of Social and! Health Services 
	> Olympia, WA 98504-5204 
	> 
	&g t; 
	> 

	


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