On 23/09/2018 10:42, Peter Otten wrote:
Shall, Sydney via Tutor wrote:
What I want is the following.
I have:
property_a = [1, 6, 2, 4]
property_b = [62, 73, 31 102]
Result should approximately be:
property_b = [31, 102, 62, 73]
That is both lists change in value in exactly the same order.
Now, this is easy to achieve. I could simply sort both lists is
ascending order and I would then have an exact alignment of values is
ascending order. The correlation would be a perfect linear relationship,
I suppose.
But my actual scientific problem requires that the correlation should be
only approximate and I do not know how close to to a perfect correlation
it should be. So, I need to introduce some lack of good correlation when
I set up the correlation. How to do that is my problem.
I hope this helps to clarify what my problem is.
Maybe you could sort the already-sorted property_b again, with some random
offset:
import itertools
def wiggled(items, sigma):
... counter = itertools.count()
... def key(item): return random.gauss(next(counter), sigma)
... return sorted(items, key=key)
...
wiggled(range(20), 3)
[0, 5, 2, 4, 1, 6, 7, 8, 3, 9, 11, 10, 13, 14, 16, 12, 18, 17, 19, 15]
wiggled([31, 102, 62, 73], .8)
[102, 31, 62, 73]
wiggled([31, 102, 62, 73], .8)
[31, 102, 62, 73]
wiggled([31, 102, 62, 73], .8)
[31, 102, 62, 73]
wiggled([31, 102, 62, 73], .8)
[31, 62, 102, 73]
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Thanks to Oscar and to Pater for their help. They have set me on the
correct path.
The crucial advice to was to look at the randomisation procedures. I
have used a procedure similar to that suggested by Peter and it works well.
Cheers,
Sydney
_________
Professor Sydney Shall
Department of Haematology/Oncology
Phone: +(0)2078489200
E-Mail: sydney.shall
[Correspondents outside the College should add @kcl.ac.uk]
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