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]

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winsorize.pdf |winsorize.html✨
winsorize/json (API)

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

Peer review:

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

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

On CRAN:

openblascpp

2.65 score 3 stars 3 scripts 4 exports 2 dependencies

Last updated 8 days agofrom:c263e999ec. Checks:OK: 3 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 12 2024
R-4.5-win-x86_64OKDec 12 2024
R-4.5-linux-x86_64OKDec 12 2024
R-4.4-win-x86_64NOTEDec 12 2024
R-4.4-mac-x86_64NOTEDec 12 2024
R-4.4-mac-aarch64NOTEDec 12 2024
R-4.3-win-x86_64NOTEDec 12 2024
R-4.3-mac-x86_64NOTEDec 12 2024
R-4.3-mac-aarch64NOTEDec 12 2024

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