micompm: A MATLAB/Octave toolbox for multivariate independent comparison of observations
Miniatura indisponível
Ficheiros
Data
2018
Autores
Título da revista
ISSN da revista
Título do Volume
Editora
JOSS
Resumo
micompm is a MATLAB / GNU Octave port of the original micompr R package for comparing multivariate samples associated with different groups. Its purpose is to determine if the compared samples are significantly different from a statistical point of view. This method uses principal component analysis to convert multivariate observations into a set of linearly uncorrelated statistical measures, which are then compared using statistical tests and score plots. This technique is independent of the distributional properties of samples and automatically selects features that best explain their differences, avoiding manual selection of specific points or summary statistics. The procedure is appropriate for comparing samples of time series, images, spectrometric measures or similar multivariate observations. It is aimed at researchers from all fields of science, although it requires some knowledge on design of experiments, statistical testing and multidimensional data analysis.
Descrição
The Journal of Open Source Software
Palavras-chave
ESTATÍSTICA MULTIVARIADA, TESTES ESTATÍSTICOS, DISTRIBUIÇÃO MULTIVARIADA, MATLAB, LINGUAGEM GNU OCTAVE, ANÁLISE DE COMPONENTES PRINCIPAIS, GNU OCTAVE, MULTIVARIATE DISTRIBUTION, STATISTICAL TESTS, PRINCIPAL COMPONENT ANALYSIS, MULTIVARIATE STATISTICS, MATLAB
Citação
Fachada , N & Rosa , A C 2018 , ' micompm: A MATLAB/Octave toolbox for multivariate independent comparison of observations ' , The Journal of Open Source Software .