Supporting code for ''Considerations for missing data, outliers and transformations in permutation testing for ANOVA with multivariate responses''

Oliver Polushkina Merchanskaya, Michael D. Sorochan Armstrong, Carolina Gómez Llorente, Patricia Ferrer, Sergi Fernandez-Gonzalez, Miriam Perez-Cruz, María Dolores Gómez-Roig, José Camacho

This repository requires the MEDA toolbox v1.4 at https://github.com/josecamachop/MEDA-Toolbox/releases/tag/v1.4

missing_data

Code related to the simulations for missing data in Section 5 of the paper. As a function of an increasing percentage of missing data, a comparison between unconditional mean replacement (UMR), conditional mean replacement (CMR) and permutational conditional mean replacement (pCMR) are considered using different missingness patterns and mechanisms.

power_curves_analysis

Code related to the power curve analysis for different types of randomized data in Section 5: normally distributed, uniformly distributed, exponentional cubed data, and uniformly distributed with one outlier. Visualization of the effects of different distributions on the semi-parametric estimation of apparent significance as a function of effect size.

MEDA Toolbox v1.4

Multivariate Exploratory Data Analysis Toolbox v1.4, download from https://github.com/josecamachop/MEDA-Toolbox/releases/tag/v1.4