robust (version 0.4-18.2)

ellipsesPlot.covfm: Ellipses Plot - Visual Correlation Matrix Comparison

Description

When there are 3 or more variables in the data, this function produces a matrix with ellipses drawn in the upper triangle. The ellipse in cell \(i,j\) of the plot is drawn to be a contour of a standard bivariate normal with correlation \(\rho_{ij}\). One ellipse is drawn in each cell for each model in the covfm object. When there are 2 variables in the data, this function produces a scatter plot of the data with an overlaid 95% confidence ellipse for each model in the covfm object.

Usage

ellipsesPlot.covfm(x, ...)

Arguments

x

a "covfm" object.

…

additional arguments are ignored.

Value

x is invisibly returned.

Examples

# NOT RUN {
  data(woodmod.dat)
  woodm.fm <- fit.models(list(Robust = "covRob", Classical = "covClassic"),
                         data = woodmod.dat)
  ellipsesPlot.covfm(woodm.fm)
# }