ddPlot: Distance-Distance Plot

In abnormally-distributed/cvreg: Cross Validation and Robust Estimation Utilities

Description

This function allows you to input a data matrix, along with a robust estimate of the multivariate center and robust estimate of the covariance. The standard mean and covariance estimates are calculated from the data matrix, and a scatterplot of the mahalanobis distances for each row based on the standard estimate and robust estimates returned.

Usage

ddPlot(x, rmu, rcov, interact = F)

Arguments

x	a data frame or matrix of numeric covariates
rmu	robust multivariate center
rcov	robust covariance matrix
interact	if set to TRUE, allows you to label the outlying points by clicking on them. defaults to FALSE.

Value

a plot

Examples

out <- cov.ogk(x, all = T)
ddPlot(x, out$center, out$cov)

abnormally-distributed/cvreg documentation built on May 3, 2020, 3:45 p.m.