Data Analysis by Driven IFS

Procedure

Select a data set {x1, x2, ... , xn}
and possibly preprocess it: derive the related data sets, for example
{x2 - x1, x3 - x2, ... } (difference delay = 1, offset = 1),
one-step differences
{x3 - x1, x4 - x2, ... } (difference delay = 2, offset = 1),
two-step differences with overlap
{x3 - x1, x5 - x3, ... } (difference delay = 2, offset = 2)
two-step differences without overlap
Run these data sets through a driven IFS program, taking care to select appropriate bin boundaries.
Interpret the results, looking for forbidden combinations and more commonly occurring combinations.
Translate your observations back into the context of the original data set.

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