Hi all
In a study we have phenotyped multiple individuals of 24 species of rice
for at least 20 morphological/anatomical traits of leaf (leaf width, leaf
length, etc.).
We then analyzed the trends for each of them, and also performed
statistical tests (like ANOVA) to examine variation among species for each
trait.
Our study does not focus much over association of one trait with another,
as we wish to do it later; but a few instances of comparisons between
traits are there.
After the review of work, critics suggested that statistical tests used in
this study are not proper to compare phylogenetically dependent samples, so
Independent contrast methods (Felsenstein, 1985) should be used to correct
different divergence time among species.
What we are confused about is how to analyze independent contrasts when we
analyze "one trait at a time".
In our previous works, we have done phylogenetic correction using 'ape'
package in R (Paradis et al., 2004) for computing correlation between pairs
of traits. But in present case, we are not sure how to proceed for
statistical tests if we obtain independent contrasts (from means for each
species?) for a given trait?
Any suggestion would be highly appreciated.
Thanks again,
Vivek
--
Research Associate
School of Computational and Integrative Sciences,
Jawaharlal Nehru University, New Delhi
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