plot.moc {moc}R Documentation

Plotting methods for MOC models

Description

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 (variables or posterior) profiles of each subject of fitted moc object with colors that are a mix of group colors according to posterior probability.

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.

entropyplot is a generic method to plot entropy.

entropyplot.moc plots the prior and posterior subject entropy (standardized or not) corresponding to a moc model. The entropy being first sorted on prior then on posterior within prior.

Usage


  ## 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",...)

  mix.colors.moc(object,group.colors=rainbow(object$groups))

  entropyplot(x,...)

  ## S3 method for class 'moc':
  entropyplot(x,main=NULL,std=TRUE,lwd=1.5,col=c("red3","green3","gray95"),legend=TRUE,...)

 

Arguments

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
Index:
The default, use the index of the residuals array.
Observation:
Use the column (variable) index of the response matrix.
Subject:
Use the row (subject) index of the response matrix.
main, xlab, ylab, ... Arguments to be passed to plot, matplot.
prob.legend, col.legend, legend Add a 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)
group.colors The groups colors to be used in the plot.
groups Specify for which groups residuals.moc plot is requested.
type A string givint the type of profiles to plot
subject:
(default) for subject profiles.
variable:
for pairs plot of response variables.
posterior:
for pairs of posterior probabilities.
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.

Value

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.

Author(s)

Bernard Boulerice <Bernard.Boulerice@umontreal.ca>

See Also

moc,residuals.moc,print.moc, AIC.moc


[Package Contents]