R: Plotting methods for MOC models

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)