Hi r-help-boun...@r-project.org napsal dne 30.04.2010 23:11:54:
> Hello David, > > On Apr 30, 2010, at 11:00 PM, David Winsemius wrote: > > Note: Loops may be just as fast or faster than apply calls. > > > How come!? is this true also for other similar functions: lapply, tapply and sapply? > > Then the only advantage of these above is only syntactic sugar? Yes and no. If your loop(s) is poorly written it can be much slower then *apply operator but usually not from loop point of view but from the code itself. Regards Petr > > >> > >> indices <- replicate(B,sample(1:N, size=N, replace=TRUE)) > >> theta_star <- apply(indices,2,statistic,data) > > > > Why not: > > > > theta_star <- apply(indices,2, function(x) statistic(data, x) ) > > > > May end up as a data class that needs further work, depending on what > "statistic" return. > > > Nice! thank you! > > Best regards, > Giovanni > ______________________________________________ > 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.
