[SciPy-Dev] scipy.stats improvements

josef.pktd at gmail.com josef.pktd at gmail.com
Sun Mar 15 15:08:02 EDT 2015


On Sun, Mar 15, 2015 at 2:52 PM, Abraham Escalante <aeklant at gmail.com>
wrote:

> Hi Josef,
>
> Thanks for the feedback. I love to see there is some interest in the
> project.
>
> I find very compelling your suggestion about *verifying against R
> functions* and it sounds like a great use of my time to get more and more
> familiarised with the `scipy.stats` module in general. However, I am fairly
> new to the community, *do you have a good tutorial or interesting reading
> on how I could start with that?*
>

If you don't know R already, then you should work your way at least through
parts of some R tutorials, there are many but I don't have any
recommendation.
It's also possible to work through Rpy2 and look at ipython notebooks that
use Rpy.

For comparison with scipy.stats you mainly need simple functions, so you
don't need to know a lot of the "more complicated" things in R.

What I usually do is to search with Google or in R help for the name of a
hypothesis test, for example, and then run a simple example both in R and
in python and compare the results. If the results differ, then we need to
check whether the R and python versions use the same options. algorithm or
assumptions.
At the current state of scipy.stats it is now unlikely that the difference
is just a bug (except maybe in some corner cases).

Josef


>
> The scope of the functions will definitely vary depending on the issue,
> but I do not yet have the domain knowledge to be able to tell for each of
> them, which is exactly why I find your suggestion interesting. I am going
> to use the next few months to get up to speed and I would love some
> pointers from interested community members such as yourself.
>
> Cheers,
> Abraham.
>
>
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