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
That sounds like a particular form of permutation test. If the
scrambling is replaced by sampling with replacement (i.e., some data
points can be sampled more than once while others can be left out),
that's the simple (or nonparametric) bootstrap. The goal is to generate
the distribution of the
Of Damjan Krstajic
Sent: Friday, March 05, 2010 5:39 PM
To: r-help@r-project.org
Subject: [R] scientific (statistical) foundation for Y-RANDOMIZATION in
regression analysis
Dear all,
I am a statistician doing research in QSAR, building regression models
where the dependent variable
Dear all,
I am a statistician doing research in QSAR, building regression models where
the dependent variable is a numerical expression of some chemical activity and
input variables are chemical descriptors, e.g. molecular weight, number of
carbon atoms, etc.
I am building regression models
Subject: [R] scientific (statistical) foundation for Y-RANDOMIZATION in
regression analysis
Dear all,
I am a statistician doing research in QSAR, building regression models
where the dependent variable is a numerical expression of some chemical
activity and input variables are chemical
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