A user comment asks the following:

*"I wonder how can I alter the size of the "pie" in describe.simmap.... Same question for altering the color...."*

Well, there is no way at present to change the color or pie-size in describe.simmap(...,plot=TRUE); however, describe.simmap, it is easy to *recreate* the posterior probability plot of describe.simmap using the function output - while customizing its attributes.

Here's a quick demo:

> # check package version

> packageVersion("phytools")

[1] ‘0.2.54’

>

> # first simulate some data to use in the demo

> Q<-matrix(c(-2,1,1,1,-2,1,1,1,-2),3,3)

> rownames(Q)<-colnames(Q)<-letters[1:3]

> tree<-sim.history(pbtree(n=50,scale=1),Q)

> x<-tree$states

>

> # now the demo

> mtrees<-make.simmap(tree,x,model="ER",nsim=100)

make.simmap is sampling character histories conditioned on the transition matrix

Q =

a b c

a -2.041867 1.020934 1.020934

b 1.020934 -2.041867 1.020934

c 1.020934 1.020934 -2.041867

(estimated using likelihood);

and (mean) root node prior probabilities

pi =

a b c

0.3333333 0.3333333 0.3333333

Done.

> XX<-describe.simmap(mtrees,plot=FALSE)

100 trees with a mapped discrete character with states:

a, b, c

trees have 23.93 changes between states on average

changes are of the following types:

a,b a,c b,a b,c c,a c,b

x->y 2.11 2.91 4.62 5.77 4.94 3.58

mean total time spent in each state is:

a b c total

raw 2.2816521 4.1930936 4.2593925 10.73414

prop 0.2125603 0.3906316 0.3968081 1.00000

> hh<-max(nodeHeights(tree))*0.02 # for label offset

> plot(tree,no.margin=TRUE,label.offset=hh,edge.width=2)

> nodelabels(pie=XX$ace,piecol=c("blue","red","green"), cex=0.5)

> tiplabels(pie=to.matrix(x,colnames(XX$ace)), piecol=c("blue","red","green"),cex=0.5)

> packageVersion("phytools")

[1] ‘0.2.54’

>

> # first simulate some data to use in the demo

> Q<-matrix(c(-2,1,1,1,-2,1,1,1,-2),3,3)

> rownames(Q)<-colnames(Q)<-letters[1:3]

> tree<-sim.history(pbtree(n=50,scale=1),Q)

> x<-tree$states

>

> # now the demo

> mtrees<-make.simmap(tree,x,model="ER",nsim=100)

make.simmap is sampling character histories conditioned on the transition matrix

Q =

a b c

a -2.041867 1.020934 1.020934

b 1.020934 -2.041867 1.020934

c 1.020934 1.020934 -2.041867

(estimated using likelihood);

and (mean) root node prior probabilities

pi =

a b c

0.3333333 0.3333333 0.3333333

Done.

> XX<-describe.simmap(mtrees,plot=FALSE)

100 trees with a mapped discrete character with states:

a, b, c

trees have 23.93 changes between states on average

changes are of the following types:

a,b a,c b,a b,c c,a c,b

x->y 2.11 2.91 4.62 5.77 4.94 3.58

mean total time spent in each state is:

a b c total

raw 2.2816521 4.1930936 4.2593925 10.73414

prop 0.2125603 0.3906316 0.3968081 1.00000

> hh<-max(nodeHeights(tree))*0.02 # for label offset

> plot(tree,no.margin=TRUE,label.offset=hh,edge.width=2)

> nodelabels(pie=XX$ace,piecol=c("blue","red","green"), cex=0.5)

> tiplabels(pie=to.matrix(x,colnames(XX$ace)), piecol=c("blue","red","green"),cex=0.5)

Obviously, to adjust the pie-sizes & colors we just change the values of cex & piecol.

That's it.

Great post! Very useful for plus-100-tips trees.

ReplyDeleteHi, I have problems with executing describe.simmap function.

ReplyDeleteI have an object with phylogenetic trees with mapped discrete characters, but I have a problem like this:

> simPP

500 phylogenetic trees with mapped discrete characters

>describe.simmap(simPP)

Error in sort.int(x, na.last = na.last, decreasing = decreasing, ...) :

'x' must be atomic

Can you help me please?

Thank you,

Can you report your package version number & how the stochastic mapped trees were obtained (i.e., did they read from file or were they generated by make.simmap)?

DeleteThanks.

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ReplyDelete