Hi Agus.
I think the problem is that c() concatenates your data for the
continuous dependent variables in your model into one long vector. Try
instead:
table<-as.matrix(table)
Y<-cbind(table[,2],table[,3])
x<-as.factor(table[,1])
phy.manova(tree,Y,x)
Good luck. - Liam
Liam J. Revell, Assistant Professor of Biology
University of Massachusetts Boston
web: http://faculty.umb.edu/liam.revell/
email: liam.rev...@umb.edu
blog: http://phytools.blogspot.com
On 9/25/2012 11:54 AM, Agus Camacho wrote:
Hope not being abusing of this list.
Possibly, I missed something. I tried both with matrix and dataframe and
reached to the same problem:
phy.manova(tree, c(table$option,table$difoption), table$morph, data.names=NULL,
nsim=1000, test="Wilks")Warning: no tip labels, order assumed to be the same as
in the treeError in model.frame.default(formula = as.matrix(td$data) ~ group,
drop.unused.levels = TRUE)
phy.manova(tree, c(table[,"option"],table[,"difoption"]), table[,"morph"],
data.names=NULL, nsim=1000, test="Wilks")Error in model.frame.default(formula = as.matrix(td$data) ~ group,
drop.unused.levels = TRUE) :
variable lengths differ (found for 'group')> length(table[,"morph"])
[1] 10> length(table[,"option"])[1] 10> length(table[,"difoption"])
[1] 10
theregoes the data:
morph option difoption
C._leiolepis 2 2.916667 -0.1666667
C._nicterus 2 2.354167 -0.2083333
C._sinebrachiatus 2 2.464286 0.2857143
S._catimbau 2 2.411765 0.2352941
N._ablephara 2 2.795455 0.1363636
P._erythrocercus 1 1.545455 1.0909091
P._tetradactylus 1 1.740000 1.0800000
V._rubricauda 1 1.462500 0.7250000
M._maximiliani 1 1.269231 0.3846154
P._paeminosus 1 1.307692 0.6153846
Morph is of class factor.
For the developers, thanks for making all these analyses possible.
Cheers,
Agus
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