Package: winsorize 0.0.2.1

winsorize: Winsorize Data

Remove outliers by means of winsorization, ie shrinking outlying observations to the border of the main part of the data. This package started from the excellent robustHD package by Andreas Alfons in order to reduce the number dependent package being pulled in. We expect to update the code over time.

Authors:Andreas Alfons [aut], Dirk Eddelbuettel [aut, cre]

winsorize_0.0.2.1.tar.gz
winsorize_0.0.2.1.zip(r-4.7-x86_64)winsorize_0.0.2.1.zip(r-4.7-arm64)winsorize_0.0.2.1.zip(r-4.6-x86_64)winsorize_0.0.2.1.zip(r-4.6-arm64)winsorize_0.0.2.1.zip(r-4.5-x86_64)
winsorize_0.0.2.1.tgz(r-4.6-x86_64)winsorize_0.0.2.1.tgz(r-4.6-arm64)winsorize_0.0.2.1.tgz(r-4.5-x86_64)winsorize_0.0.2.1.tgz(r-4.5-arm64)
winsorize_0.0.2.1.tar.gz(r-4.7-arm64)winsorize_0.0.2.1.tar.gz(r-4.7-x86_64)winsorize_0.0.2.1.tar.gz(r-4.6-arm64)winsorize_0.0.2.1.tar.gz(r-4.6-x86_64)
winsorize_0.0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
winsorize/json (API)

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

Bug tracker:https://github.com/eddelbuettel/winsorize/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

2.30 score 4 stars 3 scripts 4 exports 2 dependencies

Last updated from:c546844b80. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK89
linux-devel-x86_64OK98
source / vignettesOK147
linux-release-arm64OK122
linux-release-x86_64OK94
macos-release-arm64OK124
macos-release-x86_64OK155
macos-oldrel-arm64OK88
macos-oldrel-x86_64OK320
windows-devel-arm64OK190
windows-devel-x86_64OK129
windows-release-arm64OK189
windows-release-x86_64OK92
windows-oldrel-x86_64OK88
wasm-releaseOK83

Exports:corHuberrobStandardizestandardizewinsorize

Dependencies:RcppRcppArmadillo

Readme and manuals

Help Manual

Help pageTopics
Winsorize Datawinsorize-package
Robust correlation based on winsorization.corHuber
Data standardizationrobStandardize standardize
Data cleaning by winsorizationwinsorize winsorize.data.frame winsorize.default winsorize.matrix