Hello,
in adddtition to what Alex points, I would also recomend function K1K2
in the package ecespa: it implements differences of uivariate and
bivariate Ripley's K-functions (based on spatstat) to test for
aggregation and segregation of point patterns in the way suggested by
Dixon (2002,
Erin,
R is open source: you can see the source code if in doubt.
Looking at the source code, the situation is a bit unclear and depends on the
details of your data that I don't know. It seems that nested.npmanova() accepst
R distances structures of class dist. If your Unifrac distances
Hi Jari,
Yes, my distance matrix is of class dist, so it sounds like my unifrac
dissimilarities were handled correctly.
Thank you!
Erin
On Mar 11, 2013, at 12:57 AM, Jari Oksanen wrote:
Erin,
R is open source: you can see the source code if in doubt.
Looking at the source code, the
Could also take a look at the dbmss package and related publications. I
recently used their M(r) function for something similar to what you
describe.
Marcon, E., Puech, F. Traissac, S. (2012b). Characterizing the relative
spatial structure of point
patterns. International Journal of Ecology,
On Thu, 2013-03-07 at 11:13 -0800, Rich Shepard wrote:
On Thu, 7 Mar 2013, Philippi, Tom wrote:
I would look at packages bio.infer, paltran, fossil, and analogue, and
search to see if anyone has pushed them in the direction you want to go.
To this list I would add Steve Juggins' excellent
Hi Jay,
What you describe is similar to research conducted at UCL by myself and
colleagues and also as part of an EU project that finished a few years
ago now.
Since then, my thoughts on this have expanded a little and Sarah's point
about path analysis was where I would have gone next if I was
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Dear Gavin,
On Mon, Mar 11, 2013 at 1:58 PM, Gavin Simpson gavin.simp...@ucl.ac.uk wrote:
Hi Jay,
What you describe is similar to research conducted at UCL by myself and
colleagues and also as part of an EU project that finished a few years
ago now.
Since then, my thoughts on this have
