Sarath, Maybe someone can show a direct access to the statistic. One way to get around is to access 't' component of the boot object which contains individual estimates. so you can extract standard error by
sqrt(var(bootObj$t)) Weidong Gu On Fri, Jul 22, 2011 at 11:36 AM, Sarath Gamini Banneheka <banneh...@yahoo.com> wrote: > Dear R user, > > I used the following to do a bootstrap. > > >>bootObj<-boot(data=DAT, statistic=Lp.est, > R=1000,x0=3) > > I have the following output from the above bootstrap. How > can I extract components of the output. > For example, how can I extract the std.error? > > >> bootObj > > ORDINARY NONPARAMETRIC BOOTSTRAP > > Call: > boot(data = DAT, statistic = Lp.est, R = 1000, x0 = 3) > > Bootstrap Statistics : > original bias std. error > t1* 794.9745 -0.6666341 4.042099 > > Any help is greatly appreciated. > > Thank you > > > Sarath Banneheka > > [[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. > > ______________________________________________ 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.
