tolellipse {rrcov} | R Documentation |

## Tolerance Ellipse Plot

### Description

Plots the 0.975 tolerance ellipse of the bivariate data set `x`

.
The ellipse is defined by those data points whose distance
is equal to the squareroot of the 0.975 chisquare quantile
with 2 degrees of freedom.

### Usage

tolellipse(x, mcd, cutoff, id.n, classic = FALSE, tol.inv=1e-7)

### Arguments

`x` |
a two dimensional matrix or data frame. |

`mcd` |
An object of type mcd - its attributes center and cov will be used. If missing the MCD will be computed. |

`cutoff` |
Distance needed to flag data points outside the ellipse |

`id.n` |
Number of observations to identify by a label. If not supplied, the number of observations with distance larger than `cutoff` is used. |

`classic` |
Whether to plot the classical distances too. Default is `classic` =FALSE. |

`tol.inv` |
Tolerance to be used for computing the inverse see 'solve'. Default is `tol.inv = 10e-7` |

### See Also

`tolellipse`

### Examples

data(hbk)
mcd <- covMcd(hbk.x) # compute mcd in advance
tolellipse(hbk.x[,1:2]) # must be a 2-dimensional data set: take the first two columns

[Package

*rrcov* version 0.2-5

Index]