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-arm64OK107
linux-devel-x86_64OK122
source / vignettesOK161
linux-release-arm64OK101
linux-release-x86_64OK113
macos-release-arm64OK129
macos-release-x86_64OK204
macos-oldrel-arm64OK107
macos-oldrel-x86_64OK235
windows-devel-arm64OK306
windows-devel-x86_64OK128
windows-release-arm64OK170
windows-release-x86_64OK107
windows-oldrel-x86_64OK87
wasm-releaseOK114

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