Thanks to a colleague, I circumvented the problem by replacing the
as.factor argument by inserting:
custom.subsets(X[, c(1,2)], group = list(X[,3]))
This works!
Cheers and thanks to all who commented on this,
Oliver
On Mon, Dec 6, 2021 at 2:08 PM Oliver Betz
wrote:
Dear all:
I
If I change the third line into: custom.subsets(dat[, c(2,3)], group =
as.factor(dat[, 4])), the error message is as follows:
Error in X[, 4] : subscript out of bounds
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I will be very happy if anybody can give a hint how to resolve this problem.
My best wishes,
Oliver Betz
AICc) bewteen the three branch length
transformation models (lambda, kappa, delta), or would it be
sufficient to stick to lambda to get an idea of the phylognetic
non-indepedence of the residual errors of the regression model?
Thank you for any suggestions,
Oliver Betz
University of Tübingen
ma$Pinv) # partial correlations
Best wishes,
Julien
De : R-sig-phylo de la part de
Oliver Betz
Envoyé : dimanche 13 juin 2021 14:45
À : r-sig-phylo@r-project.org
Objet : [R-sig-phylo] phylogenetic correlation analysis
Dear all:
I would like to perform a phylogenetic correla
be to calculate PICs and do standard correlation analyses on
them, but there might be a more direct solution available?
Which R package would you recommend for such analysis?
Thank you very much,
Oliver Betz
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R-sig-phylo mailing list - R-sig-phylo@r
you have any idea why these packages produce these different
results and which software I should follow?
Thanks for any suggestions.
Oliver Betz
University of Tübingen
Tübingen
Germany
(((D.scabricollis:0.0281398198,D.punctiventris:0.0522260568):0.0165304832,(D.chetri:0.0324715501
cally done by the algorithm?
I will be glad if you have any hint how ro resove this.
My best wishes,
Oliver Betz
(University of Tübingen, Gernmany)
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