10.26 Recenter Data in Rattle
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A common normalisation is to recenter our data. The simplest approach to do this is to subtract the mean value of a variable from each observation’s value of the variable (to recenter the variable) and to then divide the values by the root-mean-square of the variable values, which re-scales the variable back to a range within a few integer values around zero.
Rattle relies on the base::scale() function from the base package to perform the re-centering:
Note that the resulting mean is not precisely zero, but pretty close.
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