[R-sig-eco] Using multiple species data for gam

[Tim Meehan]

If you want to do this in a glm framework, you might look into the mvabund
package:

http://cran.r-project.org/web/packages/mvabund/mvabund.pdf

I've never used it with anything approaching 1000 species, though.

On Tue, Feb 10, 2015 at 2:41 AM, Rajendra Mohan panda <rmp.iit.kgp at gmail.com
> wrote:

> Dear All
>
> I have >1000 species with presence and absence (0 or 1) values and with
> seven corresponding predictor variables. If I can run gam/glm for the data
> using all species data simultaneously vs predictors. Data are arranged in
> columns against their GPS locations (see below). I know it is possible to
> do separately for each species.
>
> Your kind response is highly appreciated.
>
> Sites  Sp1  Sp2 Sp3 Alt Temp Pptn   Ft
> 1A         0      1    1     20   30     1000 Evergreen
>
> With Best Regards
> Rajendra M Panda
> School of Water Resources
> Indian Institute of Technology Kharagpur, India
>
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>
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