Beanan O Loughlin wrote:
> hi all,
>
> I am new to python, and indeed to programming, but i have a question
> regarding correlation matrices.
>
> If i have a column vector
>
> x=[1;2;3;4;5]
>
> and its transpose row vector
>
> xt=[1,2,3,4,5]
>
> is there a simple way in python to create a 5x5 correlation matrix,
> obviously symmetric and having 1's on the diagonal?
My knowledge of matrix algebra and statistics is quite rusty but from a
programming perspective, I'd understand this like so.
You want a 5x5 table of values (correlations in this case) computed from
all permutations of 2 variables selected from a set of 5 elements.
so, you'd want something like
cor(1,1) cor(1,2) cor(1,3) ....
cor(2,1) cor(2,2) cor(2,3) ...
.
.
.
Correct?
If so, I think this might be what you're looking for (I've put some
comments to make it explanatory).
>>> import Numeric
>>> x=[1,2,3]
>>> ret = []
>>> for i in x:
... ret1=[]
... for j in x: # Since we're correlating an array with itself.
... ret1.append((i,j,)) # You'd need to call the actual correlation
function here rather than just say (i,j)
... ret.append(ret1)
...
>>> Numeric.array(ret)
array([[[1, 1],
[1, 2],
[1, 3]],
[[2, 1],
[2, 2],
[2, 3]],
[[3, 1],
[3, 2],
[3, 3]]])
>>>
The "Numeric" module has fast implementations of matrices and other
such constructs.
I'm quite sure that this thing which I've written above can be improved
on but I think it would do your work for you.
--
~noufal
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