On 29 Mar 2004, at 16:54, Andreas Plank wrote:on=2.63
my question is about ordination technics:
To decide using a linear model response or a unimodal model response,
in Canoco (software for ordination technics)
you can calculate a so-called "length of gradient".

(from Canoco Help file:)
The length of gradient is a measure of how unimodal the species
responses are along an ordination axis. It is the range of the
sample scores divided by the average within-species standard
deviation along the axis. The gradient length is expressed in
standard deviation units of species turnover (SD).

The function cca in package vegan and other functions give many outputs, but I didn't find anything about "length of gradient". Is there a possibility to calculate this in R? If yes how can I calculate this?

You cannot get this scaling in the cca function. However, function decorana() gives you "axis lengths". Cajo ter Braak suggested a linear approximation to Mark Hill's "sd scaling" that would be easy to implement in cca (actually, in summary.cca(), since no scaling is done until your request one), but I haven't bothered to do that. By the way, I disagree with the recommendation: CA is in general better than PCA, even with "short gradients" so you don't need axis lengths.


Please read the posting guide (about messages that should be sent to the list vs. to the package authors).

cheers, jari oksanen
--
Jari Oksanen, Oulu, Finland

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