[R-sig-eco] predict NMS scores for new samples

[Jonathan Coop]

Thanks to all for the useful suggestions -- I just wanted to report back on my experience using the code that Dave Roberts refers to below, on his web page.  It worked beautifully.  

I imagine that the utility of this approach would depend on the compositional overlap of the new samples with the old.  In the case of the research problem I am working on, there is quite a lot of overlap, and re-burning largely reinforces compositional shifts related to previous fires.

Jonathan

> From: jari.oksanen at oulu.fi
> To: droberts at montana.edu
> Date: Sun, 12 Oct 2014 20:38:53 +0000
> CC: r-sig-ecology at r-project.org
> Subject: Re: [R-sig-eco] predict NMS scores for new samples
> 
> 
> On 12/10/2014, at 23:13 PM, Dave Roberts wrote:
> 
> > Hi Jonathan,
> > 
> >   If you're using the metaMDS function in vegan with the monomds engine then it's possible.  I have posted a function (monomds)  at the bottom of
> > 
> > http://ecology.msu.montana.edu/labdsv/R/labs/lab9/lab9.html
> > 
> > that shows how to generate a labdsv:::nmds object from vegan's monomds function (courtesy of Peter Minchin).  You will have to have package vegan loaded to get the monomds FORTRAN code loaded.
> > Then you can use the function addpoints.nmds (also at the bottom of that page) to add points to an existing nmds.
> > 
> >   I'm not convinced that it's a good idea, but I worked with someone who needed it to fulfil contract obligations so I wrote it.
> > 
> It looks like a very good idea to me.
> 
> Cheers, Jari Oksanen
> 
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