plot.moc {moc} | R Documentation |
plot.moc
plots the fitted and observed values of a fitted
moc model.
profilesplot
is a generic method to plot subject profiles of fitted model.
profilesplot.moc
plots the response profiles of each subject
of fitted moc
object with colors that are a posterior
probability mix of group colors.
plot.residuals.moc
nicely plots and object of type
residuals.moc
.
mix.colors.moc
computes subject colors by mixing group base colors
accordind to the subject posterior probabilities.
plot(x,against=1:x$ntimes,main="",xlab="",ylab="", prob.legend=TRUE,scale=FALSE,group.colors=rainbow(x$groups),...) plot(x,against="Index",groups=1:dim(x)[3],sunflower=FALSE,...) profilesplot(x,...) profilesplot(x,against=1:x$ntimes,main="",xlab="",ylab="", col.legend=TRUE,scale=FALSE, group.colors=rainbow(x$groups),...) mix.colors.moc(object,group.colors=rainbow(object$groups))
x,object |
Objects of class moc or residuals.moc . |
against |
x axis for plotting the profiles.
A variable against which to plot the residuals or the strings
|
main, xlab, ylab, ... |
Arguments to be passed to plot ,
matplot . |
prob.legend, col.legend |
Add a mixture probabilities and color legend to the plot. |
scale |
Specify if each variable should be scaled.(see scale ) |
group.colors |
The groups colors to be used in the plot. |
groups |
Specify for which groups residuals.moc plot is
requested. |
sunflower |
Specify if a sunflower or standard plot is requested. |
plot.moc
invisibly returns a list
containing the
plotted values and scaling information. plot.residuals.moc
invisibly returns the plotted residual values. mix.colors.moc
invisibly returns subject mixed colors in hexadecimal RGB values.
Bernard Boulerice <Bernard.Boulerice@umontreal.ca>
moc
,residuals.moc
,print.moc
,
AIC.moc