plot.moc: Plotting methods for MOC models.
In moc: General Nonlinear Multivariate Finite Mixtures

Description Usage Arguments Value Author(s) See Also

View source: R/moc.R

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$nvar,main = "",
     xlab = "", ylab = "", prob.legend = TRUE, scale = FALSE,
     group.colors = rainbow(x$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 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 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 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.
`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.