Por favor, use este identificador para citar o enlazar este ítem: 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

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