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]

piecenorms_1.1.0.tar.gz
piecenorms_1.1.0.zip(r-4.7)piecenorms_1.1.0.zip(r-4.6)piecenorms_1.1.0.zip(r-4.5)
piecenorms_1.1.0.tgz(r-4.6-any)piecenorms_1.1.0.tgz(r-4.5-any)
piecenorms_1.1.0.tar.gz(r-4.7-any)piecenorms_1.1.0.tar.gz(r-4.6-any)
piecenorms_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

2.70 score 1 stars 3 scripts 179 downloads 2 exports 101 dependencies

Last updated from:106daccd20. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK160
source / vignettesOK186
linux-release-x86_64OK195
macos-release-arm64OK92
macos-oldrel-arm64OK127
windows-develOK105
windows-releaseOK86
windows-oldrelOK99
wasm-releaseOK119

Exports:normalisrpiecenorm

Dependencies:actuarassertthatbase64encbbmlebdsmatrixbriocallrcellrangerclassclassIntcliCOINrcpp11crayoncvardescdiffobjdigestdplyre1071evaluateexpintextraDistrfarverfastICAfastmapfBasicsfGarchfsgbutilsgenericsggplot2gluegssgtableGUILDShmshtmltoolsintervalsisobandjsonliteKernSmoothlabelinglatticelifecyclelogitnormmagrittrMASSMatrixmvtnormnakagaminloptrnumDerivopenxlsxpillarpkgbuildpkgconfigpkgloadpoilogpoweRlawpracmapraiseprettyunitsprocessxprogressproxypsR6rbibutilsRColorBrewerRcppRcppArmadilloRcppParallelRdpackreadxlrematchRfastrlangrprojrootS7sadsscalesspatialstablediststringitestthattibbletidyselecttimeDatetimeSeriesunivariateMLutf8vctrsvdiffrVGAMviridisLitewaldowithrxml2ziggzip