Package: BiTrinA 1.3.1
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_1.3.1.tar.gz
BiTrinA_1.3.1.zip(r-4.5)BiTrinA_1.3.1.zip(r-4.4)BiTrinA_1.3.1.zip(r-4.3)
BiTrinA_1.3.1.tgz(r-4.4-x86_64)BiTrinA_1.3.1.tgz(r-4.4-arm64)BiTrinA_1.3.1.tgz(r-4.3-x86_64)BiTrinA_1.3.1.tgz(r-4.3-arm64)
BiTrinA_1.3.1.tar.gz(r-4.5-noble)BiTrinA_1.3.1.tar.gz(r-4.4-noble)
BiTrinA_1.3.1.tgz(r-4.4-emscripten)BiTrinA_1.3.1.tgz(r-4.3-emscripten)
BiTrinA.pdf |BiTrinA.html✨
BiTrinA/json (API)
| # Install 'BiTrinA' in R: |
| install.packages('BiTrinA', repos = c('https://hkestler.r-universe.dev', 'https://cloud.r-project.org')) |
- 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 1 years agofrom:3559ece3eb. Checks:OK: 8 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 10 2024 |
| R-4.5-linux-x86_64 | OK | Nov 10 2024 |
| R-4.4-win-x86_64 | OK | Nov 10 2024 |
| R-4.4-mac-x86_64 | OK | Nov 10 2024 |
| R-4.4-mac-aarch64 | OK | Nov 10 2024 |
| R-4.3-win-x86_64 | OK | Nov 10 2024 |
| R-4.3-mac-x86_64 | OK | Nov 10 2024 |
| R-4.3-mac-aarch64 | OK | Nov 10 2024 |
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 |
