View source: R/addBAMMshifts.R
| addBAMMshifts | R Documentation |
BAMM-inferred rate shifts to a phylogeny plotAdds symbols to a plotted tree to mark the location(s) where there is a shift in the macroevolutionary dynamics of diversification or trait evolution.
addBAMMshifts(
ephy,
index = 1,
method = "phylogram",
cex = 1,
pch = 21,
col = 1,
bg = 2,
msp = NULL,
shiftnodes = NULL,
par.reset = TRUE,
...
)
ephy |
An object of class |
index |
An integer indicating which posterior sample to use for adding shifts to the plotted tree. |
method |
A character string indicating the method used in plotting. Must be "polar" or "phylogram". |
cex |
A numeric indicating the character expansion ("size") of the plotted points. |
pch |
An integer indicating the choice of plotting symbol. |
col |
An integer or character string indicating the border color of the plotting symbol. |
bg |
An integer or character string indicating the background color of the plotting symbol. |
msp |
If not |
shiftnodes |
An optional vector of node numbers indicating the locations of shifts to plot. |
par.reset |
A logical indicating whether to reset the graphical parameters before exiting. |
... |
additional arguments to be passed to |
Any given sample from the posterior distribution sampled using
BAMM contains a potentially unique configuration of rate shifts
and associated parameters. There is no single "best" rate shift, but
rather a set of shift configurations (and associated parameters) -
along with their relative probabilities - sampled with MCMC. This
function enables the user to plot the locations of shifts sampled with
BAMM for a given sample from the posterior.
If the bammdata object contains just a single sample, these
shifts will be plotted regardless of the value of index.
If a shiftnodes argument is passed care should be taken to
ensure that the nodes are in the same order as in the event data for
the sample index.
Mike Grundler
getShiftNodesFromIndex, plot.bammdata
data(whales, events.whales)
ed <- getEventData(whales, events.whales, burnin=0.25, nsamples = 500)
# adding shifts to tree for specific posterior samples
plot(ed, method="polar")
addBAMMshifts(ed, index=5, "polar")
# multi-panel plotting and adding shifts
par(mfrow=c(2,3),mar=c(5,1,1,1))
samples = sample(1:length(ed$eventData), 6)
for (i in 1:6) {
sed <- subsetEventData(ed, samples[i])
plot(sed, par.reset=FALSE)
addBAMMshifts(sed,index=1,method="phylogram",par.reset=FALSE)
}
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