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 :
> Indeed! To expand on this: if you need a tutorial for mvabund, we
Thank you very much Torsten.
Manuel
2017-06-24 10:02 GMT-06:00 Torsten Hauffe :
> 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
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
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
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
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 :
> Dear Manuel
>
> despite it has been
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