Package: piecenorms 1.1.0

piecenorms: Calculate a Piecewise Normalised Score Using Class Intervals

Provides an implementation of piecewise normalisation techniques useful when dealing with the communication of skewed and highly skewed data. It also provides utilities that recommends a normalisation technique based on the distribution of the data.

Authors:David Hammond [aut, cre]

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piecenorms.pdf |piecenorms.html✨
piecenorms/json (API)
NEWS

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

Bug tracker:https://github.com/david-hammond/piecenorms/issues

On CRAN:

Conda:

3.00 score 1 stars 3 scripts 162 downloads 2 exports 105 dependencies

Last updated 8 months agofrom:106daccd20. Checks:6 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 21 2025
R-4.5-winNOTEMar 21 2025
R-4.5-macNOTEMar 21 2025
R-4.5-linuxNOTEMar 21 2025
R-4.4-winOKMar 21 2025
R-4.4-macOKMar 21 2025
R-4.4-linuxOKMar 21 2025
R-4.3-winOKMar 21 2025
R-4.3-macOKMar 21 2025

Exports:normalisrpiecenorm

Dependencies:actuarassertthatbase64encbbmlebdsmatrixbriocallrcellrangerclassclassIntcliCOINrcolorspacecpp11crayoncvardescdiffobjdigestdplyre1071evaluateexpintextraDistrfansifarverfastICAfastmapfBasicsfGarchfsgbutilsgenericsggplot2gluegssgtableGUILDShmshtmltoolsintervalsisobandjsonliteKernSmoothlabelinglatticelifecyclelogitnormmagrittrMASSMatrixmgcvmunsellmvtnormnakagaminlmenloptrnumDerivopenxlsxpillarpkgbuildpkgconfigpkgloadpoilogpoweRlawpracmapraiseprettyunitsprocessxprogressproxypsR6rbibutilsRColorBrewerRcppRcppArmadilloRcppParallelRdpackreadxlrematchRfastrlangrprojrootsadsscalesspatialstablediststringitestthattibbletidyselecttimeDatetimeSeriesunivariateMLutf8vctrsvdiffrVGAMviridisLitewaldowithrxml2ziggzip