Taxicab Correspondence Analysis
Removes rows and columns of zeros and optionnally, row or column dupli...
L1 norm of a projection
Create all 2^n n-tuples of ab[1] and ab[2]
Moves points that are close together
Extract objects from a list
Creates a symmetric plot from a tca-class object
Print result of Taxicab Analysis in easily readable format
Removes rows and columns of zeros and optionnally, row or column dupli...
Save tca results to a folder
Search a taxicab principal component using the criss-cross algorithm
Search a taxicab principal component via exhaustive search
Search a taxicab principal component using the genetic algorithm
Summary of the Taxicab analysis
Taxicab Correspondance 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.