Package: TaxicabCA 0.1.1
TaxicabCA: Taxicab Correspondence Analysis
Computation and visualization of Taxicab Correspondence Analysis, Choulakian (2006) <doi:10.1007/s11336-004-1231-4>. Classical correspondence analysis (CA) is a statistical method to analyse 2-dimensional tables of positive numbers and is typically applied to contingency tables (Benzecri, J.-P. (1973). L'Analyse des Donnees. Volume II. L'Analyse des Correspondances. Paris, France: Dunod). Classical CA is based on the Euclidean distance. Taxicab CA is like classical CA but is based on the Taxicab or Manhattan distance. For some tables, Taxicab CA gives more informative results than classical CA.
Authors:
TaxicabCA_0.1.1.tar.gz
TaxicabCA_0.1.1.zip(r-4.5)TaxicabCA_0.1.1.zip(r-4.4)TaxicabCA_0.1.1.zip(r-4.3)
TaxicabCA_0.1.1.tgz(r-4.4-any)TaxicabCA_0.1.1.tgz(r-4.3-any)
TaxicabCA_0.1.1.tar.gz(r-4.5-noble)TaxicabCA_0.1.1.tar.gz(r-4.4-noble)
TaxicabCA_0.1.1.tgz(r-4.4-emscripten)TaxicabCA_0.1.1.tgz(r-4.3-emscripten)
TaxicabCA.pdf |TaxicabCA.html✨
TaxicabCA/json (API)
| # Install 'TaxicabCA' in R: |
| install.packages('TaxicabCA', repos = c('https://jacquesallard.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:54d49c9536. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 14 2024 |
| R-4.5-win | OK | Sep 14 2024 |
| R-4.5-linux | OK | Sep 14 2024 |
| R-4.4-win | OK | Sep 14 2024 |
| R-4.4-mac | OK | Sep 14 2024 |
| R-4.3-win | OK | Sep 14 2024 |
| R-4.3-mac | OK | Sep 14 2024 |
Exports:CombineCollinearRowsColsComputeLambdaCreateAllBinariesJitterPositionListToObjectsRemoveRowsColumns0sAndDuplicatessaveTCASearchCrissCrossSearchExhaustiveSearchGeneticAlgoritmtca
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Removes rows and columns of zeros and optionnally, row or column duplicates | CombineCollinearRowsCols |
| L1 norm of a projection | ComputeLambda |
| Create all 2^n n-tuples of ab[1] and ab[2] | CreateAllBinaries |
| Moves points that are close together | JitterPosition |
| Extract objects from a list | ListToObjects |
| Counts of archeological objects | milazzese |
| Creates a symmetric plot from a tca-class object | plot.tca |
| Print result of Taxicab Analysis in easily readable format | print.tca |
| Removes rows and columns of zeros and optionnally, row or column duplicates | RemoveRowsColumns0sAndDuplicates |
| Rodent species abundance | rodent |
| Save tca results to a folder | saveTCA |
| Search a taxicab principal component using the criss-cross algorithm | SearchCrissCross |
| Search a taxicab principal component via exhaustive search | SearchExhaustive |
| Search a taxicab principal component using the genetic algorithm | SearchGeneticAlgoritm |
| Summary of the Taxicab analysis | summary.tca |
| Taxicab Correspondance analysis | tca |
