On Mon, May 18, 2009 at 1:10 PM, hou.andrew <hou.and...@gmail.com> wrote:
>
> 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.
This sounds very useful.
Another thing to think about is to allow Sage to use R's graphics.
I spoke to one of the main R developers at the last AMS-MAA
meeting and he indicated it would be "easy" and might be
willing to do it himself. I can try to dig up his name and ask him
again about that if you want.
>
> ~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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