R: Ellipses Plot - Visual Correlation Matrix Comparison

ellipsesPlot.covfm {robust} | R Documentation

## 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 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.

### Usage

      ellipsesPlot.covfm(x, ...)

### Arguments

`x` | a `"covfm"` object.
`...` | additional arguments are ignored.

### Value

x is invisibly returned.

### Examples

      data(woodmod.dat)
      woodm.fm <- fit.models(list(Robust = "covRob", Classical = "covClassic"),
                             data = woodmod.dat)
      ellipsesPlot.covfm(woodm.fm)

[Package robust version 0.5-0.0 Index]