Indeed! To expand on this: if you need a tutorial for mvabund, we once analysed some categorical multivariate data and provided a tutorial: http://dx.doi.org/10.1007/s10646-015-1421-0 Paper and tutorial are freely available on researchgate
There are also many other methods, but to point you to some, it would be good if you were more specific than „community- environment relationships“. Best regards Ralf > Am 24.06.2017 um 18:02 schrieb Torsten Hauffe <torsten.hau...@gmail.com>: > > As far as I remember, on Windows you will need to download and install the > Rtools first (https://cran.r-project.org/bin/windows/Rtools/ > <https://cran.r-project.org/bin/windows/Rtools/>) because some parts of > mvpart need to be compiled. > > You can analyse multiple species-environment relationships with the mvabund > package. This is not fancy machine-learning but solid likelihood statistic. > > HTH, > Torsten > > On 24 June 2017 at 11:57, Ralf Schäfer <sena...@ecotoxicology.de > <mailto:sena...@ecotoxicology.de>> wrote: > Manuel, > > I just checked, it is currently still compatible. So you can download from > the archive and install from source - at least on Linux and OS X, nut sure > about Windows. > See Session information below: > > > R version 3.4.0 (2017-04-21) > > Platform: x86_64-apple-darwin15.6.0 (64-bit) > > Running under: macOS Sierra 10.12.5 > > > > Matrix products: default > > BLAS: > > /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRblas.0.dylib > > LAPACK: > > /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRlapack.dylib > > > > locale: > > [1] de_DE.UTF-8/de_DE.UTF-8/de_DE.UTF-8/C/de_DE.UTF-8/de_DE.UTF-8 > > > > attached base packages: > > [1] stats graphics grDevices utils datasets methods base > > > > other attached packages: > > [1] mvpart_1.6-2 > > > > loaded via a namespace (and not attached): > > [1] compiler_3.4.0 > > > However, there are certainly other packages that can partition multivariate > ecological data, though I am not aware of other packages for use with > multivariate regression trees. > > Regards > Ralf > > > > > Am 24.06.2017 um 17:47 schrieb Manuel Spínola <mspinol...@gmail.com > > <mailto:mspinol...@gmail.com>>: > > > > Thank you Ralf, > > > > But I guess is not going to be newer versions and could be incompatible > > with newer version of R, so at some moment there will be no accessibility > > to the package. > > > > Manuel > > > > 2017-06-24 5:25 GMT-06:00 Ralf Schäfer <sena...@ecotoxicology.de > > <mailto:sena...@ecotoxicology.de> <mailto:sena...@ecotoxicology.de > > <mailto:sena...@ecotoxicology.de>>>: > > Dear Manuel > > > > despite it has been removed, it should still work. > > At least I used it last year - just install the version from the archive > > manually: > > https://cran.r-project.org/src/contrib/Archive/mvpart/ > > <https://cran.r-project.org/src/contrib/Archive/mvpart/> > > <https://cran.r-project.org/src/contrib/Archive/mvpart/ > > <https://cran.r-project.org/src/contrib/Archive/mvpart/>> > > > > Best regards > > Ralf > > > > > >> Date: Fri, 23 Jun 2017 13:59:13 -0600 > >> From: Manuel Sp?nola <mspinol...@gmail.com <mailto:mspinol...@gmail.com> > >> <mailto:mspinol...@gmail.com <mailto:mspinol...@gmail.com>>> > >> To: "r-sig-ecology@r-project.org <mailto:r-sig-ecology@r-project.org> > >> <mailto:r-sig-ecology@r-project.org <mailto:r-sig-ecology@r-project.org>>" > >> <r-sig-ecology@r-project.org <mailto:r-sig-ecology@r-project.org> > >> <mailto:r-sig-ecology@r-project.org <mailto:r-sig-ecology@r-project.org>>> > >> Subject: [R-sig-eco] mvpart alternatives and machine learning > >> multivariate analysis > >> Message-ID: > >> <CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=6w3d...@mail.gmail.com > >> <mailto:6w3d...@mail.gmail.com> <mailto:CABkCotRiCwJjsh > >> <mailto:CABkCotRiCwJjsh>=_hsONMsh+OE52rC7L6E3Q4ssOUM=6w3d...@mail.gmail.com > >> <mailto:6w3d...@mail.gmail.com>>> > >> Content-Type: text/plain; charset="UTF-8" > >> > >> Dear list members, > >> > >> As mvpart has been removed form the CRAN repository, Is there any r package > >> that do similar analysis (multivariate partitioning)? > >> > >> Also, is there any other machine learning technique to do multivariate > >> analysis as done in ecology to asses multiple species-environment > >> relationships? > >> > >> Thank you very much in advance, > >> > >> Manuel > >> > >> -- > >> *Manuel Sp?nola, Ph.D.* > >> Instituto Internacional en Conservaci?n y Manejo de Vida Silvestre > >> Universidad Nacional > >> Apartado 1350-3000 > >> Heredia > >> COSTA RICA > >> mspin...@una.cr <mailto:mspin...@una.cr> <mailto:mspin...@una.cr > >> <mailto:mspin...@una.cr>> <mspin...@una.ac.cr <mailto:mspin...@una.ac.cr> > >> <mailto:mspin...@una.ac.cr <mailto:mspin...@una.ac.cr>>> > >> mspinol...@gmail.com <mailto:mspinol...@gmail.com> > >> <mailto:mspinol...@gmail.com <mailto:mspinol...@gmail.com>> > >> Tel?fono: (506) 8706 - 4662 > >> Personal website: Lobito de r?o > >> <https://sites.google.com/site/lobitoderio/ > >> <https://sites.google.com/site/lobitoderio/> > >> <https://sites.google.com/site/lobitoderio/ > >> <https://sites.google.com/site/lobitoderio/>>> > >> Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/ > >> <http://www.icomvis.una.ac.cr/> <http://www.icomvis.una.ac.cr/ > >> <http://www.icomvis.una.ac.cr/>>> > > > > > > > > -- > > Manuel Spínola, Ph.D. > > Instituto Internacional en Conservación y Manejo de Vida Silvestre > > Universidad Nacional > > Apartado 1350-3000 > > Heredia > > COSTA RICA > > mspin...@una.cr <mailto:mspin...@una.cr> <mailto:mspin...@una.ac.cr > > <mailto:mspin...@una.ac.cr>> > > mspinol...@gmail.com <mailto:mspinol...@gmail.com> > > <mailto:mspinol...@gmail.com <mailto:mspinol...@gmail.com>> > > Teléfono: (506) 8706 - 4662 > > Personal website: Lobito de río <https://sites.google.com/site/lobitoderio/ > > <https://sites.google.com/site/lobitoderio/>> > > Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/ > > <http://www.icomvis.una.ac.cr/>> > > [[alternative HTML version deleted]] > > _______________________________________________ > R-sig-ecology mailing list > R-sig-ecology@r-project.org <mailto:R-sig-ecology@r-project.org> > https://stat.ethz.ch/mailman/listinfo/r-sig-ecology > <https://stat.ethz.ch/mailman/listinfo/r-sig-ecology> [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
