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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.

Version: 0.1.1
Imports: grDevices, graphics, stats, utils
Suggests: GA, testthat
Published: 2019-12-11
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

Documentation:

Reference manual: TaxicabCA.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=TaxicabCA to link to this page.

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.
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