Ellipses Plot - Visual Correlation Matrix Comparison
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 ρ_{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.
ellipsesPlot.covfm(x, ...)
x |
a |
... |
additional arguments are ignored. |
x is invisibly returned.
data(woodmod.dat) woodm.fm <- fit.models(list(Robust = "covRob", Classical = "covClassic"), data = woodmod.dat) ellipsesPlot.covfm(woodm.fm)
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