micompm

Multivariate independent comparison of observations
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Mise à jour 27 août 2019

micompm is a MATLAB/Octave port of the original micompr R package for comparing multivariate samples associated with different groups. It uses principal component analysis to convert multivariate observations into a set of linearly uncorrelated statistical measures, which are then compared using a number of statistical methods. 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.

Reference:

Fachada N, Rosa AC. (2018) micompm: A MATLAB/Octave toolbox for multivariate independent comparison of observations. Journal of Open Source Software. 3(23):430. https://doi.org/10.21105/joss.00430

Citation pour cette source

Fachada N, Rosa AC. (2018) micompm: A MATLAB/Octave toolbox for multivariate independent comparison of observations. Journal of Open Source Software. 3(23):430. https://doi.org/10.21105/joss.00430

Compatibilité avec les versions de MATLAB
Créé avec R2013a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux

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Version Publié le Notes de version
1.0.2.1

Add paper reference

1.0.2.0

- Documentation updates

1.0.0.0

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Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.