Tue Jul 7 05:28:45 CDT 2009
I was wondering if scipy had something similar to Octave/Matlab's
empricial_rnd(). Here's the blurb from Octave's help describing the
-- Function File: empirical_rnd (N, DATA)
-- Function File: empirical_rnd (DATA, R, C)
-- Function File: empirical_rnd (DATA, SZ)
Generate a bootstrap sample of size N from the empirical
distribution obtained from the univariate sample DATA.
If R and C are given create a matrix with R rows and C columns. Or
if SZ is a vector, create a matrix of size SZ.
So basically you pass it an array of data, and it returns bootstrap
samples (resampling from the array with replacement).
I did a quick search on 'scipy bootstrap', 'scipy distributions' and
'scipy empirical_rnd', but didn't turn up anything promising. Any
help / pointers greatly appreciated. Thanks.
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