Hello,
This is my first time addressing such a big audience so apologies in
advance in case I fail to formulate this question.
I am working with 13 species of trees, and the data I have are:
1 continuous (phenolic concentration in xylem and in phloem) and 2
categorical variables: lineage (3 subclades) and habitat (fire and non
fire).
I am trying to see how species can be splitted 'objectively' based on
these variables. I tried to do a regression tree using the rpart
library, but repeatedly got the following answer, even when I tried to
run it using ONLY the categorical variables:
> plot(fit, compress=TRUE)
Error in plot.rpart(fit, compress = TRUE) :
fit is not a tree, just a root
Can anyone please help me think about this?
Many thanks,
claudia romero
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