Plots the residuals against predictors or fitted values using symbols whose size is proportional to the probability that the associated observation was generated by the associated component of the model.
1 2 3 
x 
A list with components containing the residuals, the relevant
probabilities, the predictors, and the observations, as returned
by 
vs.fit 
Logical argument. If TRUE the residuals are plotted versus the fitted values. 
whichx 
Indicates which predictor to plot against if there is more than one; i.e. indicates which column of the x matrix to use. If vs.fit is TRUE, whichx is ignored. 
shape 
The shape of the plotting symbol; possible values are "disc", "square", and "diamond". Partial matching is used so only the first few letters need be given. 
ngon 
The "disc" shape is actually a regular polygon; ngon specifies how many sides it should have; ignored if shape is not equal to "disc". 
size 
A scale factor to change the absolute sizes of the plotting symbols; values larger than 1 make the symbols larger; values less than 1 make them smaller. 
xlab 
The x label for the plot; defaults to "x". 
... 
Additional arguments to be passed to the polygon function which actually draws the plotting symbols. 
This function is a "method" for plot. The plot produced is visually assessed by ignoring or discounting small symbols.
A residual plot is produced in whatever device is currently open.
The idea of creating residual plots for regression mixtures by making the symbol size proportional to the associated probability is due to Adrian Baddeley of the University of Western Australia.
Rolf Turner r.turner@auckland.ac.nz http://www.stat.auckland.ac.nz/~rolf
Turner, T. R. (2000) Estimating the rate of spread of a viral infection of potato plants via mixtures of regressions. Appl. Statist. vol. 49, Part 3, pp. 371 – 384.
bootcomp, cband, covmix, mixreg, plot.cband, qq.mix, resid.mix
1  #See \link{mixreg} for examples.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
Please suggest features or report bugs with the GitHub issue tracker.
All documentation is copyright its authors; we didn't write any of that.