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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.
Version: | 0.1.1 |
Imports: | grDevices, graphics, stats, utils |
Suggests: | GA, testthat |
Published: | 2019-12-11 |
DOI: | 10.32614/CRAN.package.TaxicabCA |
Author: | Jacques Allard and Vartan Choulakian |
Maintainer: | Jacques Allard <jacques.allard at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | TaxicabCA results |
Reference manual: | TaxicabCA.pdf |
Package source: | TaxicabCA_0.1.1.tar.gz |
Windows binaries: | r-devel: TaxicabCA_0.1.1.zip, r-release: TaxicabCA_0.1.1.zip, r-oldrel: TaxicabCA_0.1.1.zip |
macOS binaries: | r-release (arm64): TaxicabCA_0.1.1.tgz, r-oldrel (arm64): TaxicabCA_0.1.1.tgz, r-release (x86_64): TaxicabCA_0.1.1.tgz, r-oldrel (x86_64): TaxicabCA_0.1.1.tgz |
Old sources: | TaxicabCA archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.