I am soliciting feedback regarding the API of my statistics module:
http://code.google.com/p/pycalcstats/
Specifically the following couple of issues:
(1) Multivariate statistics such as covariance have two obvious APIs:
A pass the X and Y values as two separate iterable arguments, e.g.:
cov([1, 2, 3], [4, 5, 6])
B pass the X and Y values as a single iterable of tuples, e.g.:
cov([(1, 4), (2, 5), (3, 6)]
I currently support both APIs. Do people prefer one, or the other, or
both? If there is a clear preference for one over the other, I may drop
support for the other.
(2) Statistics text books often give formulae in terms of sums and
differences such as
Sxx = n*Σ(x**2) - (Σx)**2
There are quite a few of these: I count at least six common ones, all
closely related and confusing named:
Sxx, Syy, Sxy, SSx, SSy, SPxy
(the x and y should all be subscript).
Are they useful, or would they just add unnecessary complexity? Would
people would like to see these included in the package?
Thank you for your feedback.
--
Steven
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