Alfredo,
I'd be happy to try to help, but need rather more information.
What version of R, ecodist? What OS?
What do your data look like - str() is very helpful in this regard,
or possibly summary(as.vector(Dx)) and summary(as.vector(Dy)).
What are Dx and Dy? How were the dissimilarities
Hi Sarah,
Thanks for your reply. I've solved the problem (or at least gotten around
it). Dy is a Bray-Curtis dissimilarity matrix and Dx a euclidean matrix
representing an environmental gradient. I was running MRM as:
MRM(Dy~exp(Dx)). If I run MRM(log(Dy)~Dx) I don't get the error message.
Should
Sarah,
I don't think I've got the programming skills at the moment to contribute a
patch, but I'll keep it mind for the future. Thanks for the log()
reminder. It could definitely be tragic to confuse bases.
Best wishes,
A
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View this message in context:
Hi Everyone,
MRM is returning what seems to be a matrix singularity error:
Error in solve.default(XX) :
system is computationally singular: reciprocal condition number =
1.88323e-86
when running MRM(Dy~exp(Dx)).
I would appreciate it if anyone could help me around this.
Thanks,
A
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