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:
piecenorms_1.1.0.tar.gz
piecenorms_1.1.0.zip(r-4.5)piecenorms_1.1.0.zip(r-4.4)piecenorms_1.1.0.zip(r-4.3)
piecenorms_1.1.0.tgz(r-4.4-any)piecenorms_1.1.0.tgz(r-4.3-any)
piecenorms_1.1.0.tar.gz(r-4.5-noble)piecenorms_1.1.0.tar.gz(r-4.4-noble)
piecenorms_1.1.0.tgz(r-4.4-emscripten)piecenorms_1.1.0.tgz(r-4.3-emscripten)
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
Last updated 4 months agofrom:106daccd20. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 21 2024 |
R-4.5-win | OK | Nov 21 2024 |
R-4.5-linux | OK | Nov 21 2024 |
R-4.4-win | OK | Nov 21 2024 |
R-4.4-mac | OK | Nov 21 2024 |
R-4.3-win | OK | Nov 21 2024 |
R-4.3-mac | OK | Nov 21 2024 |
Dependencies:actuarassertthatbase64encbriocallrcellrangerclassclassIntcliCOINrcolorspacecpp11crayoncvardescdiffobjdigestdplyre1071evaluateexpintextraDistrfansifarverfastICAfastmapfBasicsfGarchfsgbutilsgenericsggplot2gluegssgtablehmshtmltoolsisobandjsonliteKernSmoothlabelinglatticelifecyclelogitnormmagrittrMASSMatrixmgcvmunsellnakagaminlmeopenxlsxpillarpkgbuildpkgconfigpkgloadpraiseprettyunitsprocessxprogressproxypsR6rbibutilsRColorBrewerRcppRdpackreadxlrematchrlangrprojrootscalesspatialstablediststringitestthattibbletidyselecttimeDatetimeSeriesunivariateMLutf8vctrsvdiffrviridisLitewaldowithrxml2zip
Readme and manuals
Help Manual
Help page | Topics |
---|---|
piecenorms: Calculate a Piecewise Normalised Score Using Class Intervals | piecenorms-package piecenorms |
Creates a recommended classInt based on the type of distribution. | normalisr |
Get piecewse normalised values from a vector of observations | piecenorm |