data_glass

<p>A dataset containing spectra with \(d = 750\) wavelengths collected on
\(n = 180\) archeological glass samples.</p>

Tools for detecting cellwise outliers and robust methods to analyze
data which may contain them. Contains the implementation of the algorithms described in
Rousseeuw and Van den Bossche (2018) <doi:10.1080/00401706.2017.1340909> (open access)
Hubert et al. (2019) <doi:10.1080/00401706.2018.1562989> (open access),
Raymaekers and Rousseeuw (2021) <doi:10.1080/00401706.2019.1677270> (open access),
Raymaekers and Rousseeuw (2021) <doi:10.1007/s10994-021-05960-5> (open access),
Raymaekers and Rousseeuw (2021) <doi:10.52933/jdssv.v1i3.18> (open access),
Raymaekers and Rousseeuw (2022) <arXiv:2207.13493> (open access)
Rousseeuw (2022) <doi:10.1016/j.ecosta.2023.01.007> (open access).
Examples can be found in the vignettes:
"DDC_examples", "MacroPCA_examples", "wrap_examples", "transfo_examples",
"DI_examples", "cellMCD_examples" , "Correspondence_analysis_examples",
and "cellwise_weights_examples".

Jakob Raymaekers

cellWise

Analyzing Data with Cellwise Outliers

Peter Rousseeuw

Wannes Van den Bossche

Mia Hubert

data_glass function

<p>A data frame with 180 observations of 750 wavelengths.</p>

data_glass: The glass dataset

Description

Usage

Arguments

Format

Examples