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micompr: An R Package for Multivariate Independent Comparison of Observations

Year: 2016

Type: article

Abstract: 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.

Source: The R Journal

DOI: 10.32614/rj-2016-055

Authors: Nuno Fachada, João Rodrigues, Vitor,V. Lopes, Rui,C. Martins, Agostinho,C. Rosa

Language: English

Topic: Statistical Methods and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: hybrid

Funder: Fundação para a Ciência e a Tecnologia

Awards: A COMPLEX SYSTEM APPROACH TO THE SIMULATION OF BIOPROCESSES, G4642980860, Centro de Matemática, Aplicações Fundamentais e Investigação Operacional, G787757375

OpenAlex ID: W2311305321