I think his question is about maxlike as well, where such method is lacking.

Cheers,
Roman



On Mon, Aug 12, 2013 at 11:40 AM, Rafael Wüest <rafael.wueest@wsl.ch> wrote:

> Hi Gerardo
>
> I'm not sure I understand exactly what your question is about. Maybe some
> reproducible example code could help... Assuming you want to fit a maxent
> model using a dataframe and providing background presences, the help file
> in ?maxent should be helpful as it says:
>
> maxent(x, p, ...)
>
> p: [...] If x is a data.frame, p should be a vector with a length equal to
> nrow(x) and contain 0 (background) and 1 (presence) values, to indicate
> which records (rows) in data.frame x are presence records, and which are
> background records.
>
> HTH, Rafael
>
>
> On 12.08.2013, at 08:28, Gerardo Martin <gerardommc@gmail.com> wrote:
>
> > Hi, I', trying to implement a series of species distribution models. I
> am working with seasonal data and as I want to project them to several
> different scenarios, i need to use strictly samples with data format. I
> have extracted the background and pseudoabsences points from their
> corresponding raster files, so nos i want to fit the maxlike and maxent
> models and then project them with different rasterStack objects. The
> problem is that i haven't found out if there's a data.frame method for
> maxlike, there's no reference to such a thing in the reference manual.
> Besides, for maxent, the sdm vignete only describes how to run maxent with
> a rasterStack. I have found out how to specify pseudoabsences for maxent
> providing a vector with 1's and 0's, but no method as to specify a data
> frame with the background data.
> >
> > Regards
> >
> > Gerardo
> >
> > _______________________________________________
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> > https://stat.ethz.ch/mailman/listinfo/r-sig-geo
>
>
>
> --
> Rafael Wüest
> Swiss Federal Research Institute WSL
> Zürcherstrasse 111
> 8903 Birmensdorf
> Switzerland
>
> +41 44 7392126
> rafael.wueest@wsl.ch
> http://www.wsl.ch/info/mitarbeitende/wueest/index_EN
>
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-- 
In God we trust, all others bring data.

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