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
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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:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK119
linux-devel-x86_64OK109
source / vignettesOK138
linux-release-arm64OK116
linux-release-x86_64OK107
macos-release-arm64OK114
macos-release-x86_64OK208
macos-oldrel-arm64OK101
macos-oldrel-x86_64OK161
windows-develOK109
windows-releaseOK119
windows-oldrelOK90
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