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)winsorize_0.0.2.1.zip(r-4.6)winsorize_0.0.2.1.zip(r-4.5)
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✨
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:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK131
linux-devel-x86_64OK113
source / vignettesOK141
linux-release-arm64OK148
linux-release-x86_64OK136
macos-release-arm64OK93
macos-release-x86_64OK207
macos-oldrel-arm64OK148
macos-oldrel-x86_64OK215
windows-develOK125
windows-releaseOK126
windows-oldrelOK89
wasm-releaseOK96

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