MFAg: a R package for carrying out the multiple factor analysisDOI: http://dx.doi.org/10.5892/ruvrd.v15i2.3253

• Autor(a) principal: OSSANI, Paulo César; Universidade Federal de Lavras - UFLA
• Data de Publicação: 2017
• Outros Autores: CIRILLO, Marcelo Ângelo; Universidade Federal de Lavras - UFLA
• Idioma: por
• Título da fonte: Revista da Universidade Vale do Rio Verde (Online)
• Texto Completo: http://periodicos.unincor.br/index.php/revistaunincor/article/view/3253
• topic: Estatística multivariada, computação

In considering the study between groups of variables using a multivariate approach, the usual techniques are either limited or unviable to describe how distinct these groups are. The multiple factor analysis technique (MFA) enables a statistical analysis among groups, whether they are quantitative, categorical, frequency or even mixed. The core of the technique is a factor analysis applied to the set of variables in which each group of variables is balanced, leading to a representation of the observations and variables. Thus, this package carries out the multiple factor analysis technique, generating easy results of being surveyed, as in a PCA (Principal Components Analysis), in addition to statistical plots of easy understanding. It possesses also some other functions for multivariate analysis, which are used by the MFA technique.