Dear Rui, Thanks. I check the spell in the code, no wrong (just spell wrong in the error message). After I download the newest 2.15 version, the code work fine with me, too. I guess it resulted from the old version (2.7.1) I used.
2012/6/25 Rui Barradas <[email protected]>: > Hello, > > Your code works with me, unchanged: > > > >> boot<-boot(c,table,100, sim="ordinary", stype="i",simple=TRUE) >> boot > > ORDINARY NONPARAMETRIC BOOTSTRAP > > > Call: > boot(data = c, statistic = table, R = 100, sim = "ordinary", > stype = "i", simple = TRUE) > > > Bootstrap Statistics : > original bias std. error > t1* 500.5 0.76209 8.876232 > > > But your error message shows a typo in 'simlpe' so, check your typing. > > Also, 'c', 'table' and 'boot' are really bad names for data objects or > functions, they already are R functions. > > Hope this helps, > > Rui Barradas > > Em 25-06-2012 08:26, he chen escreveu: >> >> I am doing boot with a large database, thus want to use simple=TRUE to >> reduce the memory used. >> I alreday set up sim="ordinary", stype="i" , but I don't know how to >> set "n=0". In fact, I don't know what does "n=0" mean? >> For example, >> >> a<-c(1:1000) >> b<-c(2:1001) >> c<-cbind(a,b) >> >> library(boot) >> table<-function(c,indices){ >> d<-c[indices,] >> e<-mean(d[,1]) >> return(e) >> } >> >> boot<-boot(c,table,100, sim="ordinary", stype="i",simple=TRUE) >> >> >> AND, r give "Error in statistic(data, original, ...) : unused >> argument(s) (simlpe = TRUE)" >> >> Thanks a lot! >> >> ______________________________________________ >> [email protected] 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. >> > -- Best Regards, Yours, Chen He PhD Candidate Institute of Population Research Peking University, Beijing, China ______________________________________________ [email protected] 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.
