Autor según el artículo: Lorenzo-Seva U., van de Velden M., Kiers H.
Departamento: Psicologia
Autor/es de la URV: Lorenzo Seva, Urbano
Palabras clave: Simple structure Orthogonal rotation Oblique rotation Matlab Correspondence analysis Biplot
Resumen: © 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.
Áreas temáticas: 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
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1548-7660
Direcció de correo del autor: urbano.lorenzo@urv.cat
Identificador del autor: 0000-0001-5369-3099
Fecha de alta del registro: 2023-02-18
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Referencia al articulo segun fuente origial: Journal Of Statistical Software. 31 (8): 1-14
Referencia 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 Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2009
Tipo de publicación: Journal Publications