erikcw <(E-Mail Removed)> wrote:

> I have a collection of ordered numerical data in a list. The numbers

> when plotted on a line chart make a low-high-low-high-high-low (random)

> pattern. I need an algorithm to extract the "significant" high and low

> points from this data.
I am not sure, what you mean by 'ordered' in this context. As

pointed out by Jeremy, you need to find an appropriate statistical test.

The appropriateness depend on how your data is (presumably) distributed

and what exactly you are trying to test. E.g. do te data pints come from

differetn groupos of some kind? Or are you just looking for extreme

values (outliers maybe?)?

So it's more of statistical question than a python one.

cu

Philipp

--

Dr. Philipp Pagel Tel. +49-8161-71 2131

Dept. of Genome Oriented Bioinformatics Fax. +49-8161-71 2186

Technical University of Munich

http://mips.gsf.de/staff/pagel