rrcov: plot-methods – R documentation

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plot-methods

Methods for Function 'plot' in Package 'rrcov'

Description

Shows the Mahalanobis distances based on robust and/or classical estimates of the location and the covariance matrix in different plots. The following plots are available:

- index plot of the robust and mahalanobis distances

- distance-distance plot

- Chisquare QQ-plot of the robust and mahalanobis distances

- plot of the tolerance ellipses (robust and classic)

- Scree plot - Eigenvalues comparison plot

Usage

## S4 method for signature 'CovClassic'
plot(x, which = c("all","distance","qqchi2","tolellipse","screeplot"), 
        ask=(which=="all" && dev.interactive()), 
        cutoff, id.n, tol=1e-7, ...)
## S4 method for signature 'CovRobust'
plot(x, which = c("all","dd","distance","qqchi2","tolellipse","screeplot"), 
        classic=FALSE, ask=(which=="all" && dev.interactive()), 
        cutoff, id.n, tol=1e-7, ...)

Arguments

`x`	an object of class `"Cov"` or `"CovRobust"`
`which`	Which plot to show? See Details for description of the options. Default is `which`="all".

classic

whether to plot the classical distances too. Default is classic=FALSE.

`ask`	logical; if 'TRUE', the user is asked before each plot, see 'par(ask=.)'. Default is `ask = which=="all" && dev.interactive()`.
`cutoff`	The cutoff value for the distances.
`id.n`	Number of observations to identify by a label. If not supplied, the number of observations with distance larger than `cutoff` is used.
`tol`	tolerance to be used for computing the inverse see 'solve'. Default is `tol = 10e-7`
`...`	other parameters to be passed through to plotting functions.

Methods

x = "Cov", y = "missing": Plot mahalanobis distances for x.
x = "CovRobust", y = "missing": Plot robust and classical mahalanobis distances for x.

Examples

data(hbk)
hbk.x <- data.matrix(hbk[, 1:3])
cv <- CovClassic(hbk.x)
plot(cv)
rcv <- CovMest(hbk.x)
plot(rcv)

rrcov

Scalable Robust Estimators with High Breakdown Point

v1.5-5

GPL (>= 2)

Authors

Valentin Todorov [aut, cre] (<https://orcid.org/0000-0003-4215-0245>)

Initial release

2020-07-31