[SciPy-user] Bootstrap?

[Joshua Stults]

Hello,

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:

 -- 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.

-- 
Joshua Stults
Website: http://j-stults.blogspot.com