coordProj.Rd
Plots coordinate projections given multidimensional data and parameters of an MVN mixture model for the data.
coordProj(data, dimens = c(1,2), parameters = NULL, z = NULL, classification = NULL, truth = NULL, uncertainty = NULL, what = c("classification", "error", "uncertainty"), addEllipses = TRUE, fillEllipses = mclust.options("fillEllipses"), symbols = NULL, colors = NULL, scale = FALSE, xlim = NULL, ylim = NULL, cex = 1, PCH = ".", main = FALSE, ...)
data  A numeric matrix or data frame of observations. Categorical variables are not allowed. If a matrix or data frame, rows correspond to observations and columns correspond to variables. 

dimens  A vector of length 2 giving the integer dimensions of the
desired coordinate projections. The default is

parameters  A named list giving the parameters of an MCLUST model, used to produce superimposing ellipses on the plot. The relevant components are as follows:

z  A matrix in which the 
classification  A numeric or character vector representing a classification of
observations (rows) of 
truth  A numeric or character vector giving a known
classification of each data point.
If 
uncertainty  A numeric vector of values in (0,1) giving the
uncertainty of each data point. If present argument 
what  Choose from one of the following three options: 
addEllipses  A logical indicating whether or not to add ellipses with axes
corresponding to the withincluster covariances in case of

fillEllipses  A logical specifying whether or not to fill ellipses with transparent
colors when 
symbols  Either an integer or character vector assigning a plotting symbol to each
unique class in 
colors  Either an integer or character vector assigning a color to each
unique class in 
scale  A logical variable indicating whether or not the two chosen
dimensions should be plotted on the same scale, and
thus preserve the shape of the distribution.
Default: 
xlim, ylim  Arguments specifying bounds for the ordinate, abscissa of the plot. This may be useful for when comparing plots. 
cex  A numerical value specifying the size of the plotting symbols. The default value is 1. 
PCH  An argument specifying the symbol to be used when a classification has not been specified for the data. The default value is a small dot ".". 
main  A logical variable or 
...  Other graphics parameters. 
A plot showing a twodimensional coordinate projection of the data, together with the location of the mixture components, classification, uncertainty, and/or classification errors.
if (FALSE) { est < meVVV(iris[,5], unmap(iris[,5])) par(pty = "s", mfrow = c(1,1)) coordProj(iris[,5], dimens=c(2,3), parameters = est$parameters, z = est$z, what = "classification", main = TRUE) coordProj(iris[,5], dimens=c(2,3), parameters = est$parameters, z = est$z, truth = iris[,5], what = "error", main = TRUE) coordProj(iris[,5], dimens=c(2,3), parameters = est$parameters, z = est$z, what = "uncertainty", main = TRUE) }