Confidence intervals, stats modules?

[Alan James Salmoni]

Problem is that I don't think stats.py has confidence intervals (it does 
have mean, stddev etc). I am working on it myself for my own stats 
package, but it might be a few weeks as I am concentrating upon non 
parametric stuff.

Alan.

Tim Churches wrote:
> Duncan Smith wrote:
> 
>>"Stephen Boulet" <stephen at theboulets.net> wrote in message
>>news:ug2r3aac4etnef at corp.supernews.com...
>>
>>>Are there any stats modules to calculate things like confidence intervals,
>>>mean, standard deviation? Thanks.
>>>
>>>-- Stephen
>>
>>http://www.nmr.mgh.harvard.edu/Neural_Systems_Group/gary/python.html
>>
> 
> 
> Gary's stats module is excellent and is probably sufficient for the uses
> you
> describe. There are also some elementary statistical functions in Konrad
> Hinsen's
> equally excellent Scientific Python package - see
> http://starship.python.net/crew/hinsen/scientific.html
> 
> In fact, you could just use NumPy (Numerical Python) - have a look at
> the MLab 
> module in NumPy (which is at http://www.pfdubois.com/numpy/ ).
> 
> However, if you are interested in more advanced statistical analysis
> and/or in 
> drawing statistical graphs, then have a look at RPy, by Walter Moreira, 
> at http://rpy.sourceforge.net
> 
> RPy embeds the R stats environment within Python. R is good for most
> things
> statistical, from the elementary to the advanced and experimental, and
> it does
> truly beautiful graphics. It is a mature project backed by a number of
> eminent 
> statisticians in five continents.
> 
> Note that R is multi-platform (see http://www.r-project.org ) but RPy
> only
> works under Linux and Unix (and Mac Os X, perhaps) at this stage. I
> believe 
> a Windows version is in the works.
> 
> Tim C
> 
>