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TaxicabCA (version 0.1.1)

Taxicab Correspondence Analysis

Description

Computation and visualization of Taxicab Correspondence Analysis, Choulakian (2006) . 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.

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Version

Install

install.packages('TaxicabCA')

Monthly Downloads

163

Version

0.1.1

License

GPL (>= 2)

Maintainer

Jacques Allard

Last Published

December 11th, 2019

Functions in TaxicabCA (0.1.1)

rodent

Rodent species abundance
saveTCA

Save tca results to a folder
plot.tca

Creates a symmetric plot from a tca-class object
print.tca

Print result of Taxicab Analysis in easily readable format
JitterPosition

Moves points that are close together
summary.tca

Summary of the Taxicab analysis
tca

Taxicab Correspondance analysis
CombineCollinearRowsCols

Removes rows and columns of zeros and optionnally, row or column duplicates
ComputeLambda

L1 norm of a projection
CreateAllBinaries

Create all 2^n n-tuples of ab[1] and ab[2]
SearchGeneticAlgoritm

Search a taxicab principal component using the genetic algorithm
milazzese

Counts of archeological objects
RemoveRowsColumns0sAndDuplicates

Removes rows and columns of zeros and optionnally, row or column duplicates
ListToObjects

Extract objects from a list
SearchCrissCross

Search a taxicab principal component using the criss-cross algorithm
SearchExhaustive

Search a taxicab principal component via exhaustive search