Package: OutliersO3 0.6.3

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

Authors:Antony Unwin

OutliersO3_0.6.3.tar.gz
OutliersO3_0.6.3.zip(r-4.7)OutliersO3_0.6.3.zip(r-4.6)OutliersO3_0.6.3.zip(r-4.5)
OutliersO3_0.6.3.tgz(r-4.6-any)OutliersO3_0.6.3.tgz(r-4.5-any)
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OutliersO3_0.6.3.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://impaug.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.81 score 1 stars 32 scripts 239 downloads 4 exports 136 dependencies

Last updated from:41c935239b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK182
source / vignettesOK338
linux-release-x86_64OK173
macos-release-arm64OK101
macos-oldrel-arm64OK108
windows-develOK121
windows-releaseOK124
windows-oldrelOK106
wasm-releaseOK144

Exports:O3plotColoursO3plotMO3plotTO3prep

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacellWisecliclustercolorspacecowplotcpp11crayoncrosstalkdata.tableDEoptimRDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfarverfastmapFastPCSflashClustFNNfontawesomeforcatsforecastFormulafracdifffsgenericsGGallyggplot2ggrepelggstatsgluegridExtragtableHDoutliershighrhmshtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmatrixStatsmclustmemiscmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmvtnormnlmenloptrnnetnumDerivotelpatchworkpbkrtestpcaPPpillarpkgconfigplyrprettyunitsprogresspromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasreshape2rlangrlistrmarkdownrobustbaserobustXrrcovS7sassscalesscatterplot3dshapeSparseMstringistringrsurvivalsvdtibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisLitewithrxfunXMLyamlzoo

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: 2020-04-24
Started: 2019-01-18

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

Last update: 2020-04-24
Started: 2019-01-18

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

Last update: 2020-04-24
Started: 2019-01-18

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: 2019-01-18
Started: 2019-01-18