Wednesday, November 28, 2012

Plotting many stochastically mapped trees

I recently described a new function, densityMap (1, 2), that can be used to plot the posterior probability of a binary trait evolving along the branches of the tree based on the method of stochastic character mapping (Neilsen 2002; Huelsenbeck et al. 2003; Bollback et al. 2006). There's another way to do this, of course - we can just plot them all! Here's a quick demo & the resultant visualization (from 100 stochastic maps):

> # data for the binary [0,1] state in x
> trees<-make.simmap(tree,x,nsim=100)
> par(mfrow=c(10,10))
> cols<-c("blue","red"); names(cols)<-c(0,1)
> plotSimmap(trees,cols,ftype="off",lwd=1,pts=F)

That's pretty cool. Still, I think there is an argument for densityMap:

> par(mfrow=c(1,1))
> densityMap(trees)
sorry - this might take a while; please be patient
Waiting to confirm page change...


  1. Dear Dr. Ravell:
    It´s possible to summarize the results of a make.simmap when states>2??
    Many Thanks

    1. Yes - you can get the posterior probabilities at internal (& terminal) nodes using describe.simmap and plot them using various methods (e.g., 1, 2). - Liam


Note: due to the very large amount of spam, all comments are now automatically submitted for moderation.