micompm: A MATLAB/Octave toolbox for multivariate independent comparison of observations

Miniatura indisponível

Data

2018

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 .

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