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-any)piecenorms_1.1.0.zip(r-4.6-any)piecenorms_1.1.0.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
piecenorms/json (API)

# 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 289 downloads 2 exports 102 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK142
source / vignettesOK359
linux-releaseOK135
macos-releaseOK142
macos-oldrelOK121
windows-develOK92
windows-releaseOK96
windows-oldrelOK91
wasm-releaseOK107

Exports:normalisrpiecenorm

Dependencies:actuarassertthatbase64encbbmlebdsmatrixbriocallrcellrangerclassclassIntcliCOINrcpp11crayoncvardescdiffobjdigestdplyre1071evaluateexpintextraDistrfarverfastICAfastmapfBasicsfGarchfsgbutilsgenericsggplot2gluegssgtableGUILDShmshtmltoolsintervalsisobandjsonliteKernSmoothlabelinglatticelifecyclelogitnormmagrittrMASSMatrixmvtnormnakagaminloptrnumDerivopenxlsxotelpillarpkgbuildpkgconfigpkgloadpoilogpoweRlawpracmapraiseprettyunitsprocessxprogressproxypsR6rbibutilsRColorBrewerRcppRcppArmadilloRcppParallelRdpackreadxlrematchRfastrlangrprojrootS7sadsscalesspatialstablediststringitestthattibbletidyselecttimeDatetimeSeriesunivariateMLutf8vctrsvdiffrVGAMviridisLitewaldowithrxml2ziggzip