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https://hdl.handle.net/20.500.12815/214
Título : | Micompr: An r package for multivariate independent comparison of observations |
Autor: | Fachada N Rodrigues J Lopes V.V Martins R.C Rosa A.C. |
Fecha de publicación : | 21-nov-2016 |
Resumen : | The R package micompr implements a procedure for assessing if two or more multivariate samples are drawn from the same distribution. The procedure 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. The procedure is appropriate for comparing samples of time series, images, spectrometric measures or similar high-dimension multivariate observations. |
Palabras clave : | Micompr vegan Blossom Energy Crossmatch Cramer ChemoSpec Biotools Testthat Knitr Roxygen2 Deseasonalize |
Editorial : | The R Foundation for Statistical Computing |
URI: | https://hdl.handle.net/20.500.12815/214 |
DOI : | https://doi.org/10.32614/rj-2016-055 |
Aparece en las colecciones: | Artículos Científicos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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10.32614rj-2016-055.pdf | 412.8 kB | Adobe PDF | Visualizar/Abrir |
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