My name is Andrew Hou, I'm an undergrad at the UW who is planning to
work with Prof. Stein on statistics support in Sage.
I'm currently compiling a list of the most important statistics API's
that the big M's offer - MATLAB, Mathematica, Magma; as well as some
other stats programs. I'm going to create a wiki with all my data
trawling soon, and I'll post the link here. As far as creating a new
data class, sounds like a great idea to me too...differentiating
between special *types* is going to be interesting, to keep
consistency.
~Andrew
On May 18, 1:18 am, William Stein <wst...@gmail.com> wrote:
> On Mon, May 18, 2009 at 12:34 AM, Harald Schilly
>
>
>
> <harald.schi...@gmail.com> wrote:
>
> > On May 18, 12:29 am, mhampton <hampto...@gmail.com> wrote:
> >> So I have started a file basic_stats.py in the stats directory, with a
> >> ridiculously simple start:...
>
> > I've thought about this about a year ago but had no time to do
> > anything beyond thinking. I very strongly suggest to introduce a class
> > for storing data ("DataStore")!
> > look here how R is doing
> > things:http://cran.r-project.org/doc/manuals/R-data.html
>
> > i.e. most of the time data comes in columns, and each column has a
> > *name* and a special *type* (double, category [like an enum], ...).
> > compare this to a matrix or vector in sage, where you also have to
> > specify the type of entries. here we need to specify the type of a
> > column. then, using data['column'] we should be able to extract a
> > column, a set of clumns and much more (selecting subsets, merging data
> > where columns have the same entry, ...).
> > I think that would be very useful!
>
> > step two is to write methods for input and output: reading from/to
> > csv, to/from R data.frame's, xls, ods, google docs...
> > additionally, dealing with missing values, ... maybe even some ajax
> > web-form for the notebook, where you can enter data with
> > validation, ...
>
> This sounds very very sensible to me.
>
> -- William
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