plotPi0 {cancerTiming} | R Documentation |
A plotting function to plot the confidence intervals of the estimated pi[0] values returned from eventTiming
plotPi0(est, ui, li, samples, labels = NULL, xlab = "Segment", ylab = expression(pi[0]), pchFac = rep(1, length(est)), whHighlight = NULL, nMut = NULL, xorder = NULL, ...)
est |
vector of the estimates of pi[0] |
ui |
vector of the upper values for the confidence interval of the pi[0] |
li |
vector of the lower values for the confidence interval of the pi[0] |
samples |
vector indicating which sample each pi[0] corresponds to (will be converted to factor with factor command) |
labels |
character vector of the labels of each estimate (optional) |
xlab |
label for the xaxis, defaults to “Segment” |
ylab |
label for the yaxis, defaults to “pi[0]” |
pchFac |
vector of pch values for the center of the confidence interval |
whHighlight |
a vector of indices of the estimates that should be ‘highlighted’ by coloring their confidence intervals red (optional) |
nMut |
a vector of values of the number of mutations from each confidence interval to be printed at the top of the plot |
xorder |
a vector giving an ordering of the estimates for the confidence intervals; if NULL, an order within each sample is created automatically. |
... |
arguments passed to plotCI function |
The order of the estimates found internally by the program (or given by the user) are returned invisibly.
Elizabeth Purdom
plotCI, eventTiming