Usage
plotPi0(est, ui, li, samples, labels = NULL, xlab = "Segment",
ylab = expression(pi[0]),
pchFac = rep(1, length(est)), whHighlight = NULL,
nMut = NULL, xorder = NULL, ...)
Arguments
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