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It uses\nprincipal component analysis to convert multivariate observations into a set of\nlinearly uncorrelated statistical measures, which are then compared using a\nnumber of statistical methods. This technique is independent of the\ndistributional properties of samples and automatically selects features that\nbest explain their differences, avoiding manual selection of specific points or\nsummary statistics. The procedure is appropriate for comparing samples of time\nseries, images, spectrometric measures or similar multivariate observations. It\nis aimed at researchers from all fields of science, although it requires some\nknowledge on design of experiments, statistical testing and multidimensional\ndata analysis.\n\nFollow _micompm_'s [User Guide] to get started.\n\n### Dependencies\n\n* [MATLAB Statistics toolbox] / [Octave statistics package]\n\n### Documents\n\n* [User Guide]\n* [Contributing guidelines](CONTRIBUTING.md)\n* [Code of conduct](CODE_OF_CONDUCT.md)\n\n### References\n\n#### Practice\n\n* Fachada N, Rosa AC. (2018)\nmicompm: A MATLAB/Octave toolbox for multivariate independent comparison of\nobservations.\n*Journal of Open Source Software*. 3(23):430.\nhttps://doi.org/10.21105/joss.00430\n\n#### Theory\n\n* Fachada N, Lopes VV, Martins RC, Rosa AC. (2017)\nModel-independent comparison of simulation output. *Simulation Modelling\nPractice and Theory*. 72:131–149. http://dx.doi.org/10.1016/j.simpat.2016.12.013\n([arXiv preprint](http://arxiv.org/abs/1509.09174))\n\n### License\n\n[MIT License](LICENSE)\n\n[micompr]: https://github.com/fakenmc/micompr\n[R]: https://www.r-project.org/\n[MATLAB]: http://www.mathworks.com/products/matlab/\n[Octave]: https://gnu.org/software/octave/\n[User Guide]: docs/userguide.md\n[MATLAB Statistics toolbox]: https://www.mathworks.com/products/statistics.html\n[Octave statistics package]: https://octave.sourceforge.io/statistics/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnunofachada%2Fmicompm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnunofachada%2Fmicompm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnunofachada%2Fmicompm/lists"}