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 subject response profiles (variables
or posterior) of each subject of a fitted moc
object with
colors that are a mix of group colors (see mix.colors.moc
).
plot.residuals.moc
nicely plots and object of type
residuals.moc
.
entropyplot
is a generic method to plot subject entropy.
entropyplot.moc
plots the prior and posterior subject entropy
(standardized or not) corresponding to a moc
model. The subject
entropy are first sorted by prior then by posterior within prior.
## S3 method for class 'moc': plot(x, against = 1:x$nvar,main = paste(substitute(x)), xlab = "", ylab = "", prob.legend = TRUE, scale = FALSE, group.colors = rainbow(x$groups), ...) ## S3 method for class 'residuals.moc': plot(x, against = "Index", groups = 1:dim(x)[3], sunflower = FALSE, group.colors = NULL, ...) profilesplot(x, ...) ## S3 method for class 'moc': profilesplot(x, against = 1:x$nvar, main = NULL, xlab = "", ylab = "", col.legend = TRUE, scale = FALSE, group.colors = rainbow(x$groups), type = "subject", ...) entropyplot(x, ...) ## S3 method for class 'moc': entropyplot(x, main = NULL, std = TRUE, lwd = 1.5, col = c("red3","green3","gray95"), shade.gr.col = gray(1-0.5*(0:(x$groups-1))/(x$groups-1)), legend = TRUE, ...)
x |
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, legend |
Add mixture probabilities, color legend and lines to the plot. |
sunflower |
Specify if a sunflower or standard plot is requested. |
scale |
Specify if each variable should be scaled.(see scale ) |
groups |
Specify for which groups residuals.moc plot is
requested. |
type |
A string giving the type of profiles to plot
|
std |
If TRUE standardized entropy are plotted. |
lwd, col |
entropyplot.moc will plot the prior and posterior
entropy with lines of width lwd and colors col[1:2] , the
third color is used for the area between the two curves. |
shade.gr.col |
entropyplot.moc will mix these colors with
mix.colors.moc and paint the area between the two curves
accordingly. |
group.colors |
The groups base colors. |
plot.moc
invisibly returns a list
containing the
plotted values and scaling information.
plot.residuals.moc
invisibly returns the plotted residual values.
Bernard Boulerice <Bernard.Boulerice@sympatico.ca>
moc
, residuals.moc
, print.moc
,
AIC.moc