doi:10.1080/10618600.2019.1575226>. The available methods are HDoutliers() from the package 'HDoutliers', FastPCS() from the package 'FastPCS', mvBACON() from 'robustX', adjOutlyingness() from 'robustbase', DectectDeviatingCells() from 'cellWise', covMcd() from 'robustbase'.">

OutliersO3: Draws Overview of Outliers (O3) Plots (original) (raw)

Potential outliers are identified for all combinations of a dataset's variables. O3 plots are described in Unwin(2019) <doi:10.1080/10618600.2019.1575226>. The available methods are HDoutliers() from the package 'HDoutliers', FastPCS() from the package 'FastPCS', mvBACON() from 'robustX', adjOutlyingness() from 'robustbase', DectectDeviatingCells() from 'cellWise', covMcd() from 'robustbase'.

Version: 0.6.3
Depends: R (≥ 3.3.0)
Imports: stats, utils, grDevices, rlist, ggplot2, dplyr, tidyr, forcats, HDoutliers, robustbase, robustX, FastPCS, cellWise (≥ 2.1.0), GGally, memisc
Suggests: knitr, gridExtra, rmarkdown, languageR
Published: 2020-04-25
DOI: 10.32614/CRAN.package.OutliersO3
Author: Antony Unwin
Maintainer: Antony Unwin
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: OutliersO3 results

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