robustbase: summarizeRobWeights – R documentation

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summarizeRobWeights

Print a Nice "summary" of Robustness Weights

Description

Print a nice “summary” about a numeric vector of robustness weights. Observations with weights around zero are marked as outliers.

Usage

summarizeRobWeights(w, digits = getOption("digits"),
                    header = "Robustness weights:",
 	            eps = 0.1 / length(w), eps1 = 1e-3, ...)

Arguments

`w`	numeric vector of robustness weigths.
`digits`	digits to be used for `print`ing.
`header`	string to be printed as header line.
`eps`	numeric tolerance eps: values of `w` with \|w[i]\| < eps/n are said to be outliers.
`eps1`	numeric tolerance: values of `w` with \|1 - w[i]\| < eps1 are said to have weight ‘`~= 1`’.
`...`	potential further arguments, passed to `print()`.

Value

none; the function is used for its side effect of printing.

Author(s)

Martin Maechler

Examples

w <- c(1,1,1,1,0,1,1,1,1,0,1,1,.9999,.99999, .5,.6,1e-12)
summarizeRobWeights(w) # two outside ~= {0,1}
summarizeRobWeights(w, eps1 = 5e-5)# now three outside {0,1}

## See the summary(<lmrob>) outputs

robustbase

Basic Robust Statistics

v0.93-7

GPL (>= 2)

Authors

Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Peter Rousseeuw [ctb] (Qn and Sn), Christophe Croux [ctb] (Qn and Sn), Valentin Todorov [aut] (most robust Cov), Andreas Ruckstuhl [aut] (nlrob, anova, glmrob), Matias Salibian-Barrera [aut] (lmrob orig.), Tobias Verbeke [ctb, fnd] (mc, adjbox), Manuel Koller [aut] (mc, lmrob, psi-func.), Eduardo L. T. Conceicao [aut] (MM-, tau-, CM-, and MTL- nlrob), Maria Anna di Palma [ctb] (initial version of Comedian)

Initial release

2021-01-04