densityMap: Plot posterior density of stochastic mapping on a tree

In phytools: Phylogenetic Tools for Comparative Biology (and Other Things)

Plot posterior density of stochastic mapping on a tree

Description

Visualize posterior probability density from stochastic mapping using a color gradient on the tree.

Usage

densityMap(trees, res=100, fsize=NULL, ftype=NULL, lwd=3, check=FALSE,
   legend=NULL, outline=FALSE, type="phylogram", direction="rightwards",
   plot=TRUE, ...)
## S3 method for class 'densityMap'
plot(x, ...)

Arguments

trees	set of phylogenetic trees in a modified "multiPhylo" object. Values for a two-state discrete character are mapped on the tree. See make.simmap and read.simmap for details.
res	resolution for gradient plotting. Larger numbers indicate a finer (smoother) gradient.
fsize	relative font size - can be a vector with the second element giving the font size for the legend.
ftype	font type - see options in plotSimmap. As with fsize, can be a vector with the second element giving font type for the legend.
lwd	line width for branches. If a vector of two elements is supplied, the second element will be taken to be the desired width of the legend bar.
check	check to make sure that the topology and branch lengths of all phylogenies in trees are equal.
legend	if FALSE no legend is plotted; if a numeric value, it gives the length of the legend in units of branch length. Default is 0.5 times the total tree length.
outline	logical value indicating whether or not to outline the branches of the tree in black.
type	type of plot desired. Options are "phylogram" for a rightward square phylogram; and "fan" for a circular phylogram.
plot	logical value indicating whether or not to plot the tree. If plot=FALSE then an object of class "densityMap" will be returned without plotting.
direction	plotting direction for type="phylogram".
x	for plot.densityMap, an object of class "densityMap".
...	optional arguments for plot.densityMap. These include all the arguments of densityMap except trees and res. Additional optional arguments include mar (margins), offset (tip label offset: in units of the edge length or character widths, as in plotSimmap), and hold (whether or not to use dev.hold to hold output to graphical device before plotting; defaults to hold=TRUE). Also, the argument states can be used to 'order' the states on the probability axis (that is, which state should correspond to a posterior probability of 0 or 1). Some other plotting arguments, such as xlim and ylim, may also work.

Details

Function plots a tree with the posterior density for a mapped character from stochastic character mapping on the tree. Since the mapped value is the probability of being in state "1", only binary [0,1] characters are allowed.

Value

Plots a tree and returns an object of class "densityMap" invisibly.

Author(s)

Liam Revell [e-mail]

References

Bollback, J. P. (2006) Stochastic character mapping of discrete traits on phylogenies. BMC Bioinformatics, 7, 88.

Huelsenbeck, J. P., R. Neilsen, and J. P. Bollback (2003) Stochastic mapping of morphological characters. Systematic Biology, 52, 131-138.

Revell, L. J. (2013) Two new graphical methods for mapping trait evolution on phylogenies. Methods in Ecology and Evolution, 4, 754-759.

Revell, L. J. (2024) phytools 2.0: an updated R ecosystem for phylogenetic comparative methods (and other things). PeerJ, 12, e16505.

See Also

make.simmap, plotSimmap, read.simmap

Examples

## Not run: 
## load tree and data from Revell & Collar (2009)
data(sunfish.tree)
data(sunfish.data)
## extract discrete character (feeding mode)
fmode<-setNames(sunfish.data$feeding.mode,
     rownames(sunfish.data))
## do stochastic mapping
smap.trees<-make.simmap(sunfish.tree,fmode,model="ER",
     nsim=100)
## compute "densityMap" object
sunfish.dmap<-densityMap(smap.trees,plot=FALSE,
	res=50) ## res should be higher
## plot density map
plot(sunfish.dmap,lwd=5,outline=TRUE)
par(mar=c(5.1,4.1,4.1,2.1)) ## reset margins to default
## End(Not run)

phytools documentation built on June 22, 2024, 10:39 a.m.