Displays a barplot of either the proportion of simulations classified
to any of the models or the mean misclassification probabilities of
models for all tolerance levels in the "cv4postpr" object.
# S3 method for cv4postpr
plot(x, probs = FALSE, file = NULL, postscript
= FALSE, onefile = TRUE, ask = !is.null(deviceIsInteractive()), caption
= NULL, ...)
an object of class "cv4postpr".
logical, if TRUE the mean posterior model
probabilities are plotted. If FALSE the frequencies of the
simulations classified to the different models (default).
a character string giving the name of the file. See
postscript for details on accepted file names. If
NULL (the default) plots are printed to the null device
(e.g. X11). If not NULL plots are printed on a
pdf device. See also postscript.
logical; if FALSE (default) plots are
printed on a pdf device, if TRUE on a
postscript device.
logical, if TRUE (the default) allow multiple
figures in one file. If FALSE, generate a file name
containing the page number for each page. See
postscript for further details.
logical; if TRUE (the default), the user is asked
before each plot, see par(ask=.).
captions to appear above the plot(s); character
vector of valid graphics annotations, see
as.graphicsAnnot. Can be set to
"" or NA to suppress all captions.
other parameters passed to barplot.
Model are distinguised with different intensities of the gray colour. The first model in alphabetic order has the darkest colour. If the classification of models is perfect (so that the frequency (or probability) of each model is zero for all but the correct model) each bar has a single colour of its corresponding model.
cv4postpr, summary.cv4postpr
## see ?cv4postpr for examples
Run the code above in your browser using DataLab