Package: Binarize 1.3.2

Binarize: Binarization of One-Dimensional Data

Provides methods for the binarization of one-dimensional data and some visualization functions.

Authors:Stefan Mundus [aut], Christoph Müssel [aut], Florian Schmid [aut], Ludwig Lausser [aut], Tamara J. Blätte [aut], Martin Hopfensitz [aut], Paul Kaftan [ctb], Hans A. Kestler [aut, cre]

Binarize_1.3.2.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
Binarize/json (API)

# Install 'Binarize' in R:

install.packages('Binarize', repos = c('https://hkestler.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

binarizationExample - An artificial data set consisting of ten artificial feature vectors.
trinarizationExample - An artificial data set consisting of ten artificial feature vectors.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 1 stars 10 scripts 231 downloads 9 exports 1 dependencies

Last updated from:6f363f496e. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	140
linux-devel-x86_64	OK	114
source / vignettes	OK	166
linux-release-arm64	OK	105
linux-release-x86_64	OK	107
macos-release-arm64	OK	89
macos-release-x86_64	OK	224
macos-oldrel-arm64	OK	80
macos-oldrel-x86_64	OK	165
windows-devel	OK	126
windows-release	OK	91
windows-oldrel	OK	80
wasm-release	OK	112

Exports:binarize.BASC binarize.kMeans binarizeMatrix plot plotStepFunctions print show TASC trinarizeMatrix

Dependencies:diptest

Using the Binarize package

Rendered fromVignette.Rnwusingutils::Sweaveon May 20 2026.

Last update: 2019-04-07
Started: 2015-03-05

Citation

Readme and manuals

Help Manual

Help page	Topics
Class "BASCResult"	BASCResult-class plotStepFunctions,BASCResult-method print,BASCResult-method show,BASCResult-method
An artificial data set consisting of ten artificial feature vectors.	binarizationExample
Class "BinarizationResult"	BinarizationResult-class plotBinarization,BinarizationResult-method print,BinarizationResult-method show,BinarizationResult-method
Binarization Across Multiple Scales	binarize.BASC
k-means Binarization	binarize.kMeans
Utility function to binarize a matrix of measurements	binarizeMatrix
Visualization of binarization results.	plot,BinarizationResult,ANY-method plot,BinarizationResult-method plot,numeric,BinarizationResult-method
Visualization of trinarization results.	plot,numeric,TrinarizationResult-method plot,TrinarizationResult,ANY-method plot,TrinarizationResult-method
Plot all step functions for BASC or TASC	plotStepFunctions
Trinarization Across Multiple Scales	TASC
Class "TASCResult"	plotStepFunctions,TASCResult-method print,TASCResult-method show,TASCResult-method TASCResult-class
An artificial data set consisting of ten artificial feature vectors.	trinarizationExample
Class "TrinarizationResult"	plotTrinarization,TrinarizationResult-method print,TrinarizationResult-method show,TrinarizationResult-method TrinarizationResult-class
Utility function to trinarize a matrix of measurements	trinarizeMatrix