Autor segons l'article: Lorenzo-Seva U., van de Velden M., Kiers H.
Departament: Psicologia
Autor/s de la URV: Lorenzo Seva, Urbano
Paraules clau: Simple structure Orthogonal rotation Oblique rotation Matlab Correspondence analysis Biplot
Resum: © 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.
Àrees temàtiques: 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
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1548-7660
Adreça de correu electrònic de l'autor: urbano.lorenzo@urv.cat
Identificador de l'autor: 0000-0001-5369-3099
Data d'alta del registre: 2023-02-18
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Referència a l'article segons font original: Journal Of Statistical Software. 31 (8): 1-14
Referència de l'ítem segons les normes 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
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2009
Tipus de publicació: Journal Publications
Repositori URV