Hello, Instead of Reduce try do.call. do.call ('rbind', list) But with such a long list it will still take time. Hope this helps, Rui Barradas? Enviado a partir do meu smartphone Samsung Galaxy.-------- Mensagem original --------De: Christofer Bogaso <bogaso.christofer at gmail.com> Data: 10/06/2018 16:33 (GMT+00:00) Para: r-help <r-help at r-project.org> Assunto: [R] Efficient manipulation with list object Hi, I have a list of length 10,000, and each element of that list is a matrix with 3 columns and 2,000 rows. Now when I tried to make a Matrix object with that list using Reduce('rbind', list), my code is taking a considerable amount of time. Is there any way to implement same above task in more efficient way? Thanks, [[alternative HTML version deleted]] ______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see 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]]
Using do.call() reduces my calculation time significantly. On Sun, Jun 10, 2018 at 10:45 PM ruipbarradas <ruipbarradas at sapo.pt> wrote:> Hello, > > Instead of Reduce try do.call. > > do.call ('rbind', list) > > But with such a long list it will still take time. > > Hope this helps, > > Rui Barradas > > > > Enviado a partir do meu smartphone Samsung Galaxy. > -------- Mensagem original -------- > De: Christofer Bogaso <bogaso.christofer at gmail.com> > Data: 10/06/2018 16:33 (GMT+00:00) > Para: r-help <r-help at r-project.org> > Assunto: [R] Efficient manipulation with list object > > Hi, > > I have a list of length 10,000, and each element of that list is a matrix > with 3 columns and 2,000 rows. > > Now when I tried to make a Matrix object with that list using > Reduce('rbind', list), my code is taking a considerable amount of time. > > Is there any way to implement same above task in more efficient way? > > Thanks, > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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]]
You may be able to speed it up further by using `data.table`'s `rbindlist` or a similar function as shown here https://stackoverflow.com/a/49772719/5861244. 2018-06-10 21:20 GMT+02:00 Christofer Bogaso <bogaso.christofer at gmail.com>:> Using do.call() reduces my calculation time significantly. > > On Sun, Jun 10, 2018 at 10:45 PM ruipbarradas <ruipbarradas at sapo.pt> wrote: > >> Hello, >> >> Instead of Reduce try do.call. >> >> do.call ('rbind', list) >> >> But with such a long list it will still take time. >> >> Hope this helps, >> >> Rui Barradas >> >> >> >> Enviado a partir do meu smartphone Samsung Galaxy. >> -------- Mensagem original -------- >> De: Christofer Bogaso <bogaso.christofer at gmail.com> >> Data: 10/06/2018 16:33 (GMT+00:00) >> Para: r-help <r-help at r-project.org> >> Assunto: [R] Efficient manipulation with list object >> >> Hi, >> >> I have a list of length 10,000, and each element of that list is a matrix >> with 3 columns and 2,000 rows. >> >> Now when I tried to make a Matrix object with that list using >> Reduce('rbind', list), my code is taking a considerable amount of time. >> >> Is there any way to implement same above task in more efficient way? >> >> Thanks, >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >> 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 at r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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.