10.30 Rescale Data using Recenter 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 rescales 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:

ds %<>% mutate(RRC_evaporation = scale(evaporation)[,1])

Note that the resulting mean is not precisely zero, but pretty close.



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