Hi Ben,
Just to follow up - if your tree is ultrametric then any pair of tips which
span the root will have the same distance (which will be equal to twice the
total depth of the tree). Other nodes in the tree will also create equal
distances in the same way, but for a reasonably balanced tree
Hi all,
I would enquire the list about a simple issue. Is there any method implemented
to test for changes in diversification rate as applied to fossil (non-
ultrametric) trees?. As far as I understand, the methods so far available work
on ultrametric trees (I've inspected laser's
Dear all
I'm trying to compare one trait across three (unordered categorical) groups
including 25 species (let's say for example basal metabolic rate of aquatic,
terrestrial and aerial mammals).
If the data would be normally distributed, I would simply use a phylogenetic
ANOVA including a
Hi Karin.
GLS with x as a factor is a generalized ANOVA which assumes [in the case
of gls(...,correlation=corBrownian)] that the residual error in the
ANOVA model has evolved by Brownian evolution. If you read your data
into data frame Z with row names as species names, for instance:
Pasquale-
This isn't a feasible solution, because the branch lengths of a
paleo-tree are a function of birth, death and sampling rates. I'll be
discussing work that Matt Pennell, Emily King and I have been doing
relating to this issue next month at Evolution.
-Dave
On Wed, May 30, 2012 at 8:23
Hello,
I have been trying to figure out a few details in the caper functions brunch
and crunch.
Say I want to run PIC for Y as a function of X (as seen in Garland and Ives
2000), my understanding is I would have to find the IC's for Y and X
independently and apply the regression formulas.
Hi Yanthe,
It's been a while since I've used these functions, but if I remember correctly,
you can do what you ask with crunch but not brunch.
What kinds of models can I use in crunch? Can I do Y as a function of X1
and X2, all of the variables being continuous? Are the contrasts for
