Usage
## S3 method for class 'NMixPredCondCDFMarg':
plot(x, ixcond, imargin, prob, over=FALSE,
auto.layout=TRUE, type="l", lwd=1, lty, col, qlwd=1, qlty, qcol,
main, xlab, ylab, ylim,
annot=TRUE, \dots)Arguments
x
an object of class NMixPredCondCDFMarg.
ixcond
if given then conditional cdf's of all margins given x[[icond]][ixcond] are plotted where
icond is taken from x.
imargin
if given then conditional cdf's of the imargin-th margin given all values of x[[icond]]
are plotted - either separately or all in one plot.
prob
probabilities of pointwise posterior quantiles which
should be added to the plot. Computed values of requested posterior
quantiles must be present in the object x (see argument
prob of
over
logical. If TRUE and imargin is given then
all conditional cdf's are drawn in one plot.
auto.layout
if TRUE then the function determines itself
how to divide the plotting region to draw the computed cdf's.
lty
type of the line. It can be a vector in which
case different lines are drawn in different types.
col
color used to draw the lines. It can be a vector in which
case different lines are drawn in different colors.
qlwd
line width for pointwise posterior quantiles.
qlty
type of the line for pointwise posterior quantiles.
qcol
color used to draw pointwise posterior quantiles.
main
main title of the plot. Either character which is
replicated or a vector of characters.
xlab
label for the x-axis. Either character which is
replicated or a vector of characters.
ylab
label for the y-axis. Either character which is
replicated or a vector of characters.
ylim
limits for the y-axis.
annot
if TRUE and imargin is given and
over is TRUE then a legend is added to the plot.
...
additional arguments passed to the plot function.