Dear Lawrence,
I think I had a similar issue and for me it was because of the format of
the grouping factors.
I did as suggested by Mike and create a geomorph data frame first, but
in the same time I had to transform my vectors into factors based on
character vectors.
Maybe you can try the following code:
gdf <- geomorph.data.frame(data=data,
age=as.factor(as.character(classifier$age )),
species=as.factor(as.character(classifier$species)))
TA <- trajectory.analysis(data ~ age*species, data=gdf)
Have a nice day
Allowen
Le 11/04/2017 22:11, Lawrence Fatica a écrit :
Hi all,
I am trying to use the trajectory.analysis function in geomorph and
have come across an error I'm not sure how to fix. The command I am
using is as follows:
trajectory.analysis(proc.coords ~ classifier$age + classifier$species
+ classifier$age:classifier$species)
in which "proc.coords" is the output from gpagen, and "classifier" is
a data frame with factors denoting age classes and species.
The error I get is as follows:
Error in procD.fit(f1, data = data, pca = FALSE) :
Different numbers of specimens in dependent and independent variables
I've double checked that I have Procrustes coordinates for 90
specimens, age categories for 90 specimens, and species designations
for 90 specimens. I've gotten this to work in an earlier version of
geomorph. Am I overlooking something here?
Many thanks,
Lawrence
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Allowen EVIN
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Institut des Sciences de l'Evolution - Montpellier
Equipe: Dynamique de la biodiversité, anthropo-écologie
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Tel : +33 (0)4 67 14 41 60
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University of Liverpool, UK.
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