Hello,
I'm new in gee, and I want to detect AFLP loci (y) (column of 0 and 1) under
the selection of one environmental variable (x).
I'm using gee(locus~x,id=data$sites ,corstr=exchangeable, family=binomial).
package (gee)
I'm using gee because of the autocorrelation in my experiment design
Hi Folks,
After that very long-winded answer I still managed to leave out something. I
want to reinforce what Ted and Joe said regarding absolute vs. log scales.
Most comparative methods machinery as currently implemented work with absolute
scales (the random component of the evolutionary
Hi Matthew.
I don't doubt that other members of the list have better suggestions,
but it is possible to add a tip in all possible places using bind.tree()
in ape.
For instance, starting with a random unrooted tree with, say, 4 taxa:
tree-rtree(n=4,rooted=FALSE,br=rep(1,5))
# create a 5th
Of course, we could generalize my preceding suggestion with the
following function:
add.everywhere-function(tree,tip.name){
tree-unroot(tree)
tree$edge.length-rep(1,nrow(tree$edge))
new.tip-list(edge=matrix(c(2,1),1,2),tip.label=tip.name,
edge.length=1,Nnode=1)
