That would be amazing. It'd be neat to have a lot of graphics already
implemented.
Thanks!
~Andrew
On May 18, 10:31 am, David Joyner <wdjoy...@gmail.com> wrote:
> 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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