Package: OutliersO3 0.7

Antony Unwin

OutliersO3: Draws Overview of Outliers (O3) Plots

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 FastPCS() from the package 'FastPCS', mvBACON() from 'robustX', adjOutlyingness() from 'robustbase', DectectDeviatingCells() from 'cellWise', covMcd() from 'robustbase'.

Authors:Antony Unwin [aut, cre, cph]

OutliersO3_0.7.tar.gz
OutliersO3_0.7.zip(r-4.7)OutliersO3_0.7.zip(r-4.6)OutliersO3_0.7.zip(r-4.5)
OutliersO3_0.7.tgz(r-4.6-any)OutliersO3_0.7.tgz(r-4.5-any)
OutliersO3_0.7.tar.gz(r-4.7-any)OutliersO3_0.7.tar.gz(r-4.6-any)
OutliersO3_0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
OutliersO3/json (API)

# Install 'OutliersO3' in R:
install.packages('OutliersO3', repos = c('https://antonr4.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/antonr4/outlierso3/issues

Datasets:

On CRAN:

Conda:

4.89 score 39 scripts 422 downloads 4 exports 62 dependencies

Last updated from:eccb1cc141. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK165
source / vignettesOK250
linux-release-x86_64OK168
macos-release-arm64OK149
macos-oldrel-arm64OK136
windows-develOK101
windows-releaseOK112
windows-oldrelOK95
wasm-releaseOK160

Exports:O3plotColoursO3plotMO3plotTO3prep

Dependencies:cellWiseclicpp11crayondata.tableDEoptimRdplyrfarverFastPCSforcatsgenericsGGallyggplot2ggstatsgluegridExtragtablehmsisobandjsonlitelabelinglatticelifecyclemagrittrMASSmatrixStatsmemiscmvtnormpatchworkpcaPPpillarpkgconfigplyrprettyunitsprogresspurrrR6RColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangrlistrobustbaserobustXrrcovS7scalesshapestringistringrsvdtibbletidyrtidyselectutf8vctrsviridisLitewithrXMLyaml

Different outlier tolerance levels for different O3 plots
Introduction | Using individual tolerance levels for different methods | Analysing etymology data with different tolerance levels
Rendered fromMultTolLevels.Rmdusingknitr::rmarkdown

Last update: 2026-06-24
Started: 2020-04-24

Drawing O3 (Overview Of Outliers) plots
Introduction | A first O3 plot | Comparing different outlier tolerance levels | Comparing two methods | Using five methods simultaneously
Rendered fromDrawingO3plots.Rmdusingknitr::rmarkdown

Last update: 2026-06-24
Started: 2020-04-24

Including results from other outlier identification methods in O3 plots
Introduction | Using a single new method with up to 3 tolerance levels. | Using one of more new methods and adding their results to results for methods in OutliersO3. | Tips for constructing an outResults list.
Rendered fromxtraO3methods.Rmdusingknitr::rmarkdown

Last update: 2026-06-24
Started: 2020-04-24

Drawing additional parallel coordinate plots to support O3 plots
Introduction | Setting up variables for alternative highlighting
Rendered fromPCPsO3.Rmdusingknitr::rmarkdown

Last update: 2026-06-24
Started: 2020-04-24