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Description
When running metadpy.mle.metad
on a pandas.DataFrame, the function modifies the original DataFrame. I believe this behaviour is unintended and might cause some issues with later data processing.
Specifically, it adds three extra columns: Subject, Within, Between.
A more appropriate way to handle this would be to create a copy of the DataFrame for internal operations of the function and leave the original object untouched.
Use the example I provided to reproduce problem: #13
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