Dear all,
I have one factor and several covariates and I would like to know which
of these explanatory variables are more likely to explain a response
variable in a comparative analysis. The factor is a dummy variable (0-1).
At first, my strategy would be to use contrasts of all variables
On 24/05/11 01:38, Julien Claude wrote:
Dear all,
I have one factor and several covariates and I would like to know which
of these explanatory variables are more likely to explain a response
variable in a comparative analysis. The factor is a dummy variable (0-1).
At first, my strategy would
Hi Andrew,
Andrew Barr wrote on 24/05/2011 22:25:
Hi all,
I am trying to figure out how to specify the line type for a polytomy
using plot.phylo(). If I read in an example tree and plot it while
specifying a single value for the argument edge.lty, the function
automatically takes care of the
Hi Brian,
They look the same for me. Maybe it's easier to see this using the
default values of nodelabels():
plot(tree)
nodelabels(tree$node.label)
x11()
plot(rooted)
nodelabels(rooted$node.label)
Best,
Emmanuel
Brian Bourke wrote on 23/05/2011 23:44:
Hi Emmanuel
I've done as you
Hello Phylo List,
I am currently trying to run independent contrasts with APE. As I
don't have an actual measure for branch length I have tried both the
Grafen and BR=1 methods available through 'compute.brlen'. I know from
using mesquite that there are also methods for calculating branch
