Package: normaliseR 0.1.2
Trent Henderson
normaliseR: Re-Scale Vectors and Time-Series Features
Provides standardized access to a range of re-scaling methods for numerical vectors and time-series features calculated within the 'theft' ecosystem.
Authors:
normaliseR_0.1.2.tar.gz
normaliseR_0.1.2.zip(r-4.5)normaliseR_0.1.2.zip(r-4.4)normaliseR_0.1.2.zip(r-4.3)
normaliseR_0.1.2.tgz(r-4.4-any)normaliseR_0.1.2.tgz(r-4.3-any)
normaliseR_0.1.2.tar.gz(r-4.5-noble)normaliseR_0.1.2.tar.gz(r-4.4-noble)
normaliseR_0.1.2.tgz(r-4.4-emscripten)normaliseR_0.1.2.tgz(r-4.3-emscripten)
normaliseR.pdf |normaliseR.html✨
normaliseR/json (API)
| # Install 'normaliseR' in R: |
| install.packages('normaliseR', repos = c('https://hendersontrent.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hendersontrent/normaliser/issues
Pkgdown site:https://hendersontrent.github.io
Last updated 12 months agofrom:fc032ccc48. Checks:7 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 25 2025 |
| R-4.5-win | OK | Jan 25 2025 |
| R-4.5-linux | OK | Jan 25 2025 |
| R-4.4-win | OK | Jan 25 2025 |
| R-4.4-mac | OK | Jan 25 2025 |
| R-4.3-win | OK | Jan 25 2025 |
| R-4.3-mac | OK | Jan 25 2025 |
Exports:maxabs_scalerminmax_scalernormalisenormalizerobustsigmoid_scalersigmoid_scalerzscore_scaler
Dependencies:clicolorspacedplyrfansifarvergenericsgluelabelinglifecyclemagrittrmunsellpillarpkgconfigR6RColorBrewerrlangscalestibbletidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Rescales a numeric vector using maximum absolute scaling | maxabs_scaler |
| Rescales a numeric vector into the unit interval [0,1] | minmax_scaler |
| Scale each feature vector into a user-specified range for visualisation and modelling | normalise normalize |
| Re-Scale Vectors and Time-Series Features | normaliseR-package normaliseR |
| Rescales a numeric vector using an outlier-robust Sigmoidal transformation | robustsigmoid_scaler |
| Rescales a numeric vector using a Sigmoidal transformation | sigmoid_scaler |
| Rescales a numeric vector into z-scores | zscore_scaler |