jeudi 31 janvier 2019

Bivariate Mann-Whitnney using generated control database

I have the next experiment: I measured 190 cortical signals over 40 subjects and applied two nonlinear measures over each signal. In order to validate my method I create 50 surrogates for each signal (control database) and for each one of these I computed the nonlinear measures above refered. I want to test differences between the measures between the original and control databases using the function sr.loc.test from package SpatialNP in R but it's taking plenty of time and I must repeat this test 20 times.

Is there any quicker function that allows me to do the same or any guide you can give me to reduce computing time?

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