micompm: A MATLAB/Octave toolbox for multivariate independent comparison of observations
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Data
2018
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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
MULTIVARIATE DISTRIBUTION, MULTIVARIATE STATISTICS, GNU OCTAVE, MATLAB, STATISTICAL TESTS, PRINCIPAL COMPONENT ANALYSIS, MATLAB, ESTATÍSTICA MULTIVARIADA, TESTES ESTATÍSTICOS, DISTRIBUIÇÃO MULTIVARIADA, LINGUAGEM GNU OCTAVE, ANÁLISE DE COMPONENTES PRINCIPAIS
Citação
Fachada, N., & Rosa, A. C. (2018). micompm: A MATLAB/Octave toolbox for multivariate independent comparison of observations. Journal of Open Source Software, 3(23), 430