[SciPy-dev] RFR: Proposed fixes in scipy.stats functions for calculation of variance/error/etc.
Sun Oct 25 22:16:35 CDT 2009
On Sun, Oct 25, 2009 at 10:50 PM, Ariel Rokem <email@example.com> wrote:
> Hi everyone,
> I have been working on some fixes to the functions in scipy.stats
> which calculate variance/error and related quantities. In particular,
> in order to comply with the deprecation warnings that appear in use of
> scipy.stats.samplevar/scipy.stats.samplestd, I have replaced use of
> these functions with calls to np.std/np.var. I have also cleaned up
> the documentation a bit.
> This can all be found here: http://codereview.appspot.com/141051
I just gave it a quick look, looks good so far
in def zs looks like a shape error for axis>0
def zs changes definition, before it normalized with raveled mean,
std not by axis
- mu = np.mean(a,None)
- sigma = samplestd(a)
- return (array(a)-mu)/sigma
+ a,axis = _chk_asarray(a,axis)
+ mu = np.mean(a,axis)
+ sigma = np.std(a,axis)
+ return (a-mu)/sigma
I never looked closely at these,
zmap has a description I don't understand.
z, zs, zm ???
Which is which? they look a bit inconsistent, population might refer
to dof correction in z ?
Is there a standard terminology for z scores?
I think for axis, I have seen more "int or None" ?
> Ariel Rokem
> Helen Wills Neuroscience Institute
> University of California, Berkeley
> Scipy-dev mailing list
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