Author, as appears in the article.: Lorenzo-Seva U., van de Velden M., Kiers H.

Department: Psicologia

URV's Author/s: Lorenzo Seva, Urbano

Keywords: Simple structure Orthogonal rotation Oblique rotation Matlab Correspondence analysis Biplot

Abstract: © 2009, American Statistical Association. All rights reserved. Correspondence analysis (CA) is a popular method that can be used to analyse relationships between categorical variables. Like principal component analysis, CA solutions can be rotated both orthogonally and obliquely to simple structure without affecting the total amount of explained inertia. We describe a MATLAB package for computing CA. The package includes orthogonal and oblique rotation of axes. It is designed not only for advanced users of MATLAB but also for beginners. Analysis can be done using a user-friendly interface, or by using command lines. We illustrate the use of CAR with one example.

Thematic Areas: Statistics, probability and uncertainty Statistics and probability Statistics & probability Software Saúde coletiva Matemática / probabilidade e estatística Interdisciplinar Engenharias iii Engenharias i Computer science, interdisciplinary applications Ciencias sociales Ciência política e relações internacionais Ciência da computação

licence for use: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 1548-7660

Author's mail: urbano.lorenzo@urv.cat

Author identifier: 0000-0001-5369-3099

Record's date: 2023-02-18

Papper version: info:eu-repo/semantics/publishedVersion

Link to the original source: https://www.jstatsoft.org/article/view/v031i08

Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/

Papper original source: Journal Of Statistical Software. 31 (8): 1-14

APA: Lorenzo-Seva U., van de Velden M., Kiers H. (2009). CAR: A MATLAB Package to Compute Correspondence Analysis with Rotations. Journal Of Statistical Software, 31(8), 1-14. DOI: 10.18637/jss.v031.i08

Article's DOI: 10.18637/jss.v031.i08

Entity: Universitat Rovira i Virgili

Journal publication year: 2009

Publication Type: Journal Publications