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'))

Peer review:

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

On CRAN:

2 exports 0.85 score 90 dependencies 3 scripts 310 downloads

Last updated 2 months agofrom:106daccd20. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winOKAug 23 2024
R-4.5-linuxOKAug 23 2024
R-4.4-winOKAug 23 2024
R-4.4-macOKAug 23 2024
R-4.3-winOKAug 23 2024
R-4.3-macOKAug 23 2024

Exports:normalisrpiecenorm

Dependencies:actuarassertthatbase64encbriocallrcellrangerclassclassIntcliCOINrcolorspacecpp11crayoncvardescdiffobjdigestdplyre1071evaluateexpintextraDistrfansifarverfastICAfastmapfBasicsfGarchfsgbutilsgenericsggplot2gluegssgtablehmshtmltoolsisobandjsonliteKernSmoothlabelinglatticelifecyclelogitnormmagrittrMASSMatrixmgcvmunsellnakagaminlmeopenxlsxpillarpkgbuildpkgconfigpkgloadpraiseprettyunitsprocessxprogressproxypsR6rbibutilsRColorBrewerRcppRdpackreadxlrematchrematch2rlangrprojrootscalesspatialstablediststringitestthattibbletidyselecttimeDatetimeSeriesunivariateMLutf8vctrsvdiffrviridisLitewaldowithrxml2zip