Introduction | Methods in the package | Application | Quality assessment using statistical tests
Package: BiTrinA 1.3.2
BiTrinA: Binarization and Trinarization of One-Dimensional Data
Provides methods for the binarization and trinarization of one-dimensional data and some visualization functions.
Authors:
BiTrinA_1.3.2.tar.gz
BiTrinA_1.3.2.zip(r-4.7)BiTrinA_1.3.2.zip(r-4.6)BiTrinA_1.3.2.zip(r-4.5)
BiTrinA_1.3.2.tgz(r-4.6-x86_64)BiTrinA_1.3.2.tgz(r-4.6-arm64)BiTrinA_1.3.2.tgz(r-4.5-x86_64)BiTrinA_1.3.2.tgz(r-4.5-arm64)
BiTrinA_1.3.2.tar.gz(r-4.7-arm64)BiTrinA_1.3.2.tar.gz(r-4.7-x86_64)BiTrinA_1.3.2.tar.gz(r-4.6-arm64)BiTrinA_1.3.2.tar.gz(r-4.6-x86_64)
BiTrinA_1.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BiTrinA/json (API)
| # Install 'BiTrinA' in R: |
| install.packages('BiTrinA', 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.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f9497086f5. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 116 | ||
| linux-devel-x86_64 | OK | 108 | ||
| source / vignettes | OK | 160 | ||
| linux-release-arm64 | OK | 119 | ||
| linux-release-x86_64 | OK | 115 | ||
| macos-release-arm64 | OK | 78 | ||
| macos-release-x86_64 | OK | 257 | ||
| macos-oldrel-arm64 | OK | 93 | ||
| macos-oldrel-x86_64 | OK | 166 | ||
| windows-devel | OK | 90 | ||
| windows-release | OK | 80 | ||
| windows-oldrel | OK | 65 | ||
| wasm-release | OK | 95 |
Exports:binarize.BASCbinarize.kMeansbinarizeMatrixplotplotStepFunctionsprintshowTASCtrinarize.kMeanstrinarizeMatrix
Dependencies:diptest
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 |
| k-means Trinarization | trinarize.kMeans |
| Utility function to trinarize a matrix of measurements | trinarizeMatrix |
