Package: normaliseR 0.1.2

Trent Henderson

normaliseR: Re-Scale Vectors and Time-Series Features

Provides standardized access to a range of re-scaling methods for numerical vectors and time-series features calculated within the 'theft' ecosystem.

Authors:Trent Henderson [cre, aut]

normaliseR_0.1.2.tar.gz
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normaliseR.pdf |normaliseR.html
normaliseR/json (API)

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

Peer review:

Bug tracker:https://github.com/hendersontrent/normaliser/issues

On CRAN:

7 exports 1.16 score 23 dependencies 1 dependents 903 downloads

Last updated 7 months agofrom:fc032ccc48. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 28 2024
R-4.5-winOKAug 28 2024
R-4.5-linuxOKAug 28 2024
R-4.4-winOKAug 28 2024
R-4.4-macOKAug 28 2024
R-4.3-winOKAug 28 2024
R-4.3-macOKAug 28 2024

Exports:maxabs_scalerminmax_scalernormalisenormalizerobustsigmoid_scalersigmoid_scalerzscore_scaler

Dependencies:clicolorspacedplyrfansifarvergenericsgluelabelinglifecyclemagrittrmunsellpillarpkgconfigR6RColorBrewerrlangscalestibbletidyselectutf8vctrsviridisLitewithr

Introduction to normaliseR

Rendered fromnormaliseR.Rmdusingknitr::rmarkdownon Aug 28 2024.

Last update: 2024-02-25
Started: 2023-08-20