Hello, I'm also working on a QSAR validation, and would like to confirm that my multiple least squares regression based on only 4 x-variables out of a pool of 300 x-variables is significant. I want to apply the y-randomization or y-scrambling permutation protocol using R, but I have not been able to find any examples that are similar to my problem. Could someone clarify whether this type of validation protocol could be done with the R 'boostrap' function, or 'onetPermutation' or 'sample'? I'm not a statistician and I'm having a hard time deciphering the code and explanations in the manual, so help would be greatly appreciated!!!! Thanks!!
-- View this message in context: http://r.789695.n4.nabble.com/scientific-statistical-foundation-for-Y-RANDOMIZATION-in-regression-analysis-tp1580328p3660581.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
