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Optimal Scaling in Python

This is a a quick and dirty Python package for optimal scaling. It is actually just a wrapper around an R implementation called optiscale by William G. Jacoby.

Licensed under GNU GPL version 2.

Installation

The package can be installed directly from github as follows:

pip install git+git://github.com/alubbock/pyopscale.git

It requires a working installation of R with the optiscale package installed.

Example

Example taken from the documentation linked above.

from pyopscale.opscale import OpScale

x1 = [1,1,1,1,2,2,2,3,3,3,3,3,3]
x2 = [3,2,2,2,1,2,3,4,5,2,6,6,4]
os = OpScale()
print(os.opscale(x1, x2, rescale=False))

The result of the above should be [2.25, 2.25, 2.25, 2.25, 2.0, 2.0, 2.0, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5].

Documentation

Further information is available in the optiscale documentation (PDF). See the source code for a list of arguments to the opscale function.

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