Re: mvpart alternatives and machine learning multivariate analysis

classic Classic list List threaded Threaded
9 messages Options
Threaded
Open this post in threaded view
|  
Report Content as Inappropriate

Re: mvpart alternatives and machine learning multivariate analysis

Ralf Schäfer-2
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/

Best regards
Ralf


> Date: Fri, 23 Jun 2017 13:59:13 -0600
> From: Manuel Sp?nola <[hidden email] <mailto:[hidden email]>>
> To: "[hidden email] <mailto:[hidden email]>" <[hidden email] <mailto:[hidden email]>>
> Subject: [R-sig-eco] mvpart alternatives and machine learning
> multivariate analysis
> Message-ID:
> <CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=[hidden email] <mailto:CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=[hidden email]>>
> 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
> [hidden email] <mailto:[hidden email]> <[hidden email] <mailto:[hidden email]>>
> [hidden email] <mailto:[hidden email]>
> Tel?fono: (506) 8706 - 4662
> Personal website: Lobito de r?o <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
[hidden email]
https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
Threaded
Open this post in threaded view
|  
Report Content as Inappropriate

Re: mvpart alternatives and machine learning multivariate analysis

Manuel Spínola-2
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 <[hidden email]>:

> 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/
>
> Best regards
> Ralf
>
>
> Date: Fri, 23 Jun 2017 13:59:13 -0600
> From: Manuel Sp?nola <[hidden email]>
> To: "[hidden email]" <[hidden email]>
> Subject: [R-sig-eco] mvpart alternatives and machine learning
> multivariate analysis
> Message-ID:
> <CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=[hidden email]>
> 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
> [hidden email] <[hidden email]>
> [hidden email]
> Tel?fono: (506) 8706 - 4662
> Personal website: Lobito de r?o <https://sites.google.com/
> site/lobitoderio/>
> Institutional website: ICOMVIS <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
[hidden email] <[hidden email]>
[hidden email]
Teléfono: (506) 8706 - 4662
Personal website: Lobito de río <https://sites.google.com/site/lobitoderio/>
Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>

        [[alternative HTML version deleted]]

_______________________________________________
R-sig-ecology mailing list
[hidden email]
https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
Threaded
Open this post in threaded view
|  
Report Content as Inappropriate

Re: mvpart alternatives and machine learning multivariate analysis

Ralf Schäfer-2
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 <[hidden email]>:
>
> 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 <[hidden email] <mailto:[hidden email]>>:
> 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/>
>
> Best regards
> Ralf
>
>
>> Date: Fri, 23 Jun 2017 13:59:13 -0600
>> From: Manuel Sp?nola <[hidden email] <mailto:[hidden email]>>
>> To: "[hidden email] <mailto:[hidden email]>" <[hidden email] <mailto:[hidden email]>>
>> Subject: [R-sig-eco] mvpart alternatives and machine learning
>> multivariate analysis
>> Message-ID:
>> <CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=[hidden email] <mailto:CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=[hidden email]>>
>> 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
>> [hidden email] <mailto:[hidden email]> <[hidden email] <mailto:[hidden email]>>
>> [hidden email] <mailto:[hidden email]>
>> Tel?fono: (506) 8706 - 4662
>> Personal website: Lobito de r?o <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/>>
>
>
>
> --
> Manuel Spínola, Ph.D.
> Instituto Internacional en Conservación y Manejo de Vida Silvestre
> Universidad Nacional
> Apartado 1350-3000
> Heredia
> COSTA RICA
> [hidden email] <mailto:[hidden email]>
> [hidden email] <mailto:[hidden email]>
> Teléfono: (506) 8706 - 4662
> Personal website: Lobito de río <https://sites.google.com/site/lobitoderio/>
> Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>

        [[alternative HTML version deleted]]

_______________________________________________
R-sig-ecology mailing list
[hidden email]
https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
Threaded
Open this post in threaded view
|  
Report Content as Inappropriate

Re: mvpart alternatives and machine learning multivariate analysis

Torsten
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/) 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 <[hidden email]> 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 <[hidden email]>:
> >
> > 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 <[hidden email]
> <mailto:[hidden email]>>:
> > 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/>
> >
> > Best regards
> > Ralf
> >
> >
> >> Date: Fri, 23 Jun 2017 13:59:13 -0600
> >> From: Manuel Sp?nola <[hidden email] <mailto:[hidden email]
> >>
> >> To: "[hidden email] <mailto:[hidden email]>"
> <[hidden email] <mailto:[hidden email]>>
> >> Subject: [R-sig-eco] mvpart alternatives and machine learning
> >>      multivariate    analysis
> >> Message-ID:
> >>      <CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=6w3DXTw@
> mail.gmail.com <mailto:CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=6w3
> [hidden email]>>
> >> 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
> >> [hidden email] <mailto:[hidden email]> <[hidden email] <mailto:
> [hidden email]>>
> >> [hidden email] <mailto:[hidden email]>
> >> Tel?fono: (506) 8706 - 4662
> >> Personal website: Lobito de r?o <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/>>
> >
> >
> >
> > --
> > Manuel Spínola, Ph.D.
> > Instituto Internacional en Conservación y Manejo de Vida Silvestre
> > Universidad Nacional
> > Apartado 1350-3000
> > Heredia
> > COSTA RICA
> > [hidden email] <mailto:[hidden email]>
> > [hidden email] <mailto:[hidden email]>
> > Teléfono: (506) 8706 - 4662
> > Personal website: Lobito de río <https://sites.google.com/
> site/lobitoderio/>
> > Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>
>
>         [[alternative HTML version deleted]]
>
> _______________________________________________
> R-sig-ecology mailing list
> [hidden email]
> https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
>

        [[alternative HTML version deleted]]

_______________________________________________
R-sig-ecology mailing list
[hidden email]
https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
Threaded
Open this post in threaded view
|  
Report Content as Inappropriate

Re: mvpart alternatives and machine learning multivariate analysis

Ralf Schäfer-2
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 <[hidden email]>:
>
> 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 <[hidden email] <mailto:[hidden email]>> 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 <[hidden email] <mailto:[hidden email]>>:
> >
> > 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 <[hidden email] <mailto:[hidden email]> <mailto:[hidden email] <mailto:[hidden email]>>>:
> > 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 <[hidden email] <mailto:[hidden email]> <mailto:[hidden email] <mailto:[hidden email]>>>
> >> To: "[hidden email] <mailto:[hidden email]> <mailto:[hidden email] <mailto:[hidden email]>>" <[hidden email] <mailto:[hidden email]> <mailto:[hidden email] <mailto:[hidden email]>>>
> >> Subject: [R-sig-eco] mvpart alternatives and machine learning
> >>      multivariate    analysis
> >> Message-ID:
> >>      <CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=[hidden email] <mailto:[hidden email]> <mailto:CABkCotRiCwJjsh <mailto:CABkCotRiCwJjsh>=_hsONMsh+OE52rC7L6E3Q4ssOUM=[hidden email] <mailto:[hidden email]>>>
> >> 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
> >> [hidden email] <mailto:[hidden email]> <mailto:[hidden email] <mailto:[hidden email]>> <[hidden email] <mailto:[hidden email]> <mailto:[hidden email] <mailto:[hidden email]>>>
> >> [hidden email] <mailto:[hidden email]> <mailto:[hidden email] <mailto:[hidden email]>>
> >> 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
> > [hidden email] <mailto:[hidden email]> <mailto:[hidden email] <mailto:[hidden email]>>
> > [hidden email] <mailto:[hidden email]> <mailto:[hidden email] <mailto:[hidden email]>>
> > 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
> [hidden email] <mailto:[hidden email]>
> 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
[hidden email]
https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
Threaded
Open this post in threaded view
|  
Report Content as Inappropriate

Re: mvpart alternatives and machine learning multivariate analysis

Manuel Spínola-2
In reply to this post by Torsten
Thank you very much Torsten.

Manuel

2017-06-24 10:02 GMT-06:00 Torsten Hauffe <[hidden email]>:

> 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/) 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 <[hidden email]> 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 <[hidden email]>:
>> >
>> > 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 <[hidden email]
>> <mailto:[hidden email]>>:
>> > 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/>
>> >
>> > Best regards
>> > Ralf
>> >
>> >
>> >> Date: Fri, 23 Jun 2017 13:59:13 -0600
>> >> From: Manuel Sp?nola <[hidden email] <mailto:
>> [hidden email]>>
>> >> To: "[hidden email] <mailto:[hidden email]>"
>> <[hidden email] <mailto:[hidden email]>>
>> >> Subject: [R-sig-eco] mvpart alternatives and machine learning
>> >>      multivariate    analysis
>> >> Message-ID:
>> >>      <CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=6w3DXTw@mail.
>> gmail.com <mailto:CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=6w3DXTw@
>> 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
>> >> [hidden email] <mailto:[hidden email]> <[hidden email] <mailto:
>> [hidden email]>>
>> >> [hidden email] <mailto:[hidden email]>
>> >> Tel?fono: (506) 8706 - 4662
>> >> Personal website: Lobito de r?o <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/>>
>> >
>> >
>> >
>> > --
>> > Manuel Spínola, Ph.D.
>> > Instituto Internacional en Conservación y Manejo de Vida Silvestre
>> > Universidad Nacional
>> > Apartado 1350-3000
>> > Heredia
>> > COSTA RICA
>> > [hidden email] <mailto:[hidden email]>
>> > [hidden email] <mailto:[hidden email]>
>> > Teléfono: (506) 8706 - 4662
>> > Personal website: Lobito de río <https://sites.google.com/site
>> /lobitoderio/>
>> > Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>
>>
>>         [[alternative HTML version deleted]]
>>
>> _______________________________________________
>> R-sig-ecology mailing list
>> [hidden email]
>> https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
>>
>
>


--
*Manuel Spínola, Ph.D.*
Instituto Internacional en Conservación y Manejo de Vida Silvestre
Universidad Nacional
Apartado 1350-3000
Heredia
COSTA RICA
[hidden email] <[hidden email]>
[hidden email]
Teléfono: (506) 8706 - 4662
Personal website: Lobito de río <https://sites.google.com/site/lobitoderio/>
Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>

        [[alternative HTML version deleted]]

_______________________________________________
R-sig-ecology mailing list
[hidden email]
https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
Threaded
Open this post in threaded view
|  
Report Content as Inappropriate

Re: mvpart alternatives and machine learning multivariate analysis

Manuel Spínola-2
In reply to this post by Ralf Schäfer-2
Thank you very much Ralf.

I am looking for alternatives to the classic CCA community analysis, and I
was thinking into machine learning techniques.

Manuel

2017-06-24 10:10 GMT-06:00 Ralf Schäfer <[hidden email]>:

> 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 <[hidden email]>:
>
> 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/) 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 <[hidden email]> 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 <[hidden email]>:
>> >
>> > 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 <[hidden email]
>> <mailto:[hidden email]>>:
>> > 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/>
>> >
>> > Best regards
>> > Ralf
>> >
>> >
>> >> Date: Fri, 23 Jun 2017 13:59:13 -0600
>> >> From: Manuel Sp?nola <[hidden email] <mailto:
>> [hidden email]>>
>> >> To: "[hidden email] <mailto:[hidden email]>"
>> <[hidden email] <mailto:[hidden email]>>
>> >> Subject: [R-sig-eco] mvpart alternatives and machine learning
>> >>      multivariate    analysis
>> >> Message-ID:
>> >>      <CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=6w3DXTw@mail.
>> gmail.com <mailto:CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=6w3DXTw@
>> 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
>> >> [hidden email] <mailto:[hidden email]> <[hidden email] <mailto:
>> [hidden email]>>
>> >> [hidden email] <mailto:[hidden email]>
>> >> Tel?fono: (506) 8706 - 4662
>> >> Personal website: Lobito de r?o <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/>>
>> >
>> >
>> >
>> > --
>> > Manuel Spínola, Ph.D.
>> > Instituto Internacional en Conservación y Manejo de Vida Silvestre
>> > Universidad Nacional
>> > Apartado 1350-3000
>> > Heredia
>> > COSTA RICA
>> > [hidden email] <mailto:[hidden email]>
>> > [hidden email] <mailto:[hidden email]>
>> > Teléfono: (506) 8706 - 4662
>> > Personal website: Lobito de río <https://sites.google.com/site
>> /lobitoderio/>
>> > Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>
>>
>>         [[alternative HTML version deleted]]
>>
>> _______________________________________________
>> R-sig-ecology mailing list
>> [hidden email]
>> https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
>>
>
>
>


--
*Manuel Spínola, Ph.D.*
Instituto Internacional en Conservación y Manejo de Vida Silvestre
Universidad Nacional
Apartado 1350-3000
Heredia
COSTA RICA
[hidden email] <[hidden email]>
[hidden email]
Teléfono: (506) 8706 - 4662
Personal website: Lobito de río <https://sites.google.com/site/lobitoderio/>
Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>

        [[alternative HTML version deleted]]

_______________________________________________
R-sig-ecology mailing list
[hidden email]
https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
Threaded
Open this post in threaded view
|  
Report Content as Inappropriate

Re: mvpart alternatives and machine learning multivariate analysis

Gavin Simpson-2
In reply to this post by Torsten
Right, but mvabund fits quite different types of model to that fitted
in a multivariate tree, which can be seen as an unsupervised
constrained clustering of the multivariate species response matrix.

All the best

Gavin

On 24 June 2017 at 10:02, Torsten Hauffe <[hidden email]> wrote:

> 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/) 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 <[hidden email]> 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 <[hidden email]>:
>> >
>> > 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 <[hidden email]
>> <mailto:[hidden email]>>:
>> > 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/>
>> >
>> > Best regards
>> > Ralf
>> >
>> >
>> >> Date: Fri, 23 Jun 2017 13:59:13 -0600
>> >> From: Manuel Sp?nola <[hidden email] <mailto:[hidden email]
>> >>
>> >> To: "[hidden email] <mailto:[hidden email]>"
>> <[hidden email] <mailto:[hidden email]>>
>> >> Subject: [R-sig-eco] mvpart alternatives and machine learning
>> >>      multivariate    analysis
>> >> Message-ID:
>> >>      <CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=6w3DXTw@
>> mail.gmail.com <mailto:CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=6w3
>> [hidden email]>>
>> >> 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
>> >> [hidden email] <mailto:[hidden email]> <[hidden email] <mailto:
>> [hidden email]>>
>> >> [hidden email] <mailto:[hidden email]>
>> >> Tel?fono: (506) 8706 - 4662
>> >> Personal website: Lobito de r?o <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/>>
>> >
>> >
>> >
>> > --
>> > Manuel Spínola, Ph.D.
>> > Instituto Internacional en Conservación y Manejo de Vida Silvestre
>> > Universidad Nacional
>> > Apartado 1350-3000
>> > Heredia
>> > COSTA RICA
>> > [hidden email] <mailto:[hidden email]>
>> > [hidden email] <mailto:[hidden email]>
>> > Teléfono: (506) 8706 - 4662
>> > Personal website: Lobito de río <https://sites.google.com/
>> site/lobitoderio/>
>> > Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>
>>
>>         [[alternative HTML version deleted]]
>>
>> _______________________________________________
>> R-sig-ecology mailing list
>> [hidden email]
>> https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
>>
>
>         [[alternative HTML version deleted]]
>
> _______________________________________________
> R-sig-ecology mailing list
> [hidden email]
> https://stat.ethz.ch/mailman/listinfo/r-sig-ecology



--
Gavin Simpson, PhD

_______________________________________________
R-sig-ecology mailing list
[hidden email]
https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
Threaded
Open this post in threaded view
|  
Report Content as Inappropriate

Re: mvpart alternatives and machine learning multivariate analysis

Gavin Simpson-2
In reply to this post by Manuel Spínola-2
If you want to stick with or at least compare a mulivariate tree with
other approaches (like CCA or mvabund or boral) then the partykit
package provides an implementation of a multivariate tree model, using
conditional inference trees (i.e. you use conditional inference to
decide if spits are "significant" and stop splitting when they aren't
rather than the classic build a big tree and prune it back with
cost-complexity pruning and cross-validation.

An illustration with the classic hunting spider data set (which was
used in the mvpart paper too IIRC) can be found at the end of one of
the vignettes supplied with partykit:
https://cran.r-project.org/web/packages/partykit/vignettes/ctree.pdf

When I used this recently to replicate an analysis from a book chapter
I wrote a few years back, the partykit implementation worked well
after a little fiddling, but some of the plot options for the terminal
nodes don't work so well if your species response matrix has many
columns in it (i.e. lots of species).

HTH

Gavin

On 24 June 2017 at 10:35, Manuel Spínola <[hidden email]> wrote:

> Thank you very much Ralf.
>
> I am looking for alternatives to the classic CCA community analysis, and I
> was thinking into machine learning techniques.
>
> Manuel
>
> 2017-06-24 10:10 GMT-06:00 Ralf Schäfer <[hidden email]>:
>
>> 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 <[hidden email]>:
>>
>> 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/) 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 <[hidden email]> 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 <[hidden email]>:
>>> >
>>> > 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 <[hidden email]
>>> <mailto:[hidden email]>>:
>>> > 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/>
>>> >
>>> > Best regards
>>> > Ralf
>>> >
>>> >
>>> >> Date: Fri, 23 Jun 2017 13:59:13 -0600
>>> >> From: Manuel Sp?nola <[hidden email] <mailto:
>>> [hidden email]>>
>>> >> To: "[hidden email] <mailto:[hidden email]>"
>>> <[hidden email] <mailto:[hidden email]>>
>>> >> Subject: [R-sig-eco] mvpart alternatives and machine learning
>>> >>      multivariate    analysis
>>> >> Message-ID:
>>> >>      <CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=6w3DXTw@mail.
>>> gmail.com <mailto:CABkCotRiCwJjsh=_hsONMsh+OE52rC7L6E3Q4ssOUM=6w3DXTw@
>>> 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
>>> >> [hidden email] <mailto:[hidden email]> <[hidden email] <mailto:
>>> [hidden email]>>
>>> >> [hidden email] <mailto:[hidden email]>
>>> >> Tel?fono: (506) 8706 - 4662
>>> >> Personal website: Lobito de r?o <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/>>
>>> >
>>> >
>>> >
>>> > --
>>> > Manuel Spínola, Ph.D.
>>> > Instituto Internacional en Conservación y Manejo de Vida Silvestre
>>> > Universidad Nacional
>>> > Apartado 1350-3000
>>> > Heredia
>>> > COSTA RICA
>>> > [hidden email] <mailto:[hidden email]>
>>> > [hidden email] <mailto:[hidden email]>
>>> > Teléfono: (506) 8706 - 4662
>>> > Personal website: Lobito de río <https://sites.google.com/site
>>> /lobitoderio/>
>>> > Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>
>>>
>>>         [[alternative HTML version deleted]]
>>>
>>> _______________________________________________
>>> R-sig-ecology mailing list
>>> [hidden email]
>>> https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
>>>
>>
>>
>>
>
>
> --
> *Manuel Spínola, Ph.D.*
> Instituto Internacional en Conservación y Manejo de Vida Silvestre
> Universidad Nacional
> Apartado 1350-3000
> Heredia
> COSTA RICA
> [hidden email] <[hidden email]>
> [hidden email]
> Teléfono: (506) 8706 - 4662
> Personal website: Lobito de río <https://sites.google.com/site/lobitoderio/>
> Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>
>
>         [[alternative HTML version deleted]]
>
> _______________________________________________
> R-sig-ecology mailing list
> [hidden email]
> https://stat.ethz.ch/mailman/listinfo/r-sig-ecology



--
Gavin Simpson, PhD

_______________________________________________
R-sig-ecology mailing list
[hidden email]
https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
Loading...