> My draft of an updated R and rpy2 spkg is at
> http://sage.math.washington.edu/home/jason/r-2.9.2.spkg. There are
> unchecked-in changes in the spkg, and I just ignored a bunch of old
> patches to R because I wasn't sure they applied anymore, so the spkg is
> not finished.
Updating R is now
Dag Sverre Seljebotn wrote:
>
> I think it makes a lot of sense; me and Robert Dodier already discussed
> such things on this list. Basically, you could construct symbolic random
> variables, set Bayesian priors etc., and then simulate from the resulting
> distributions using the best approach b
> Jason Grout wrote:
>> Jason Grout wrote:
>>> Carlo Hamalainen wrote:
On Thu, Sep 17, 2009 at 6:48 AM, Robert Dodier
wrote:
> Some random comments on
> http://trac.sagemath.org/sage_trac/attachment/ticket/6827/probability_distribution.patch
Between that and the better per
Jason Grout wrote:
> Jason Grout wrote:
>> Carlo Hamalainen wrote:
>>> On Thu, Sep 17, 2009 at 6:48 AM, Robert Dodier
>>> wrote:
Some random comments on
http://trac.sagemath.org/sage_trac/attachment/ticket/6827/probability_distribution.patch
>>> Between that and the better performance
Jason Grout wrote:
> Carlo Hamalainen wrote:
>> On Thu, Sep 17, 2009 at 6:48 AM, Robert Dodier
>> wrote:
>>> Some random comments on
>>> http://trac.sagemath.org/sage_trac/attachment/ticket/6827/probability_distribution.patch
>> Between that and the better performance of scipy (see my other emai
Carlo Hamalainen wrote:
> On Thu, Sep 17, 2009 at 6:48 AM, Robert Dodier
> wrote:
>> Some random comments on
>> http://trac.sagemath.org/sage_trac/attachment/ticket/6827/probability_distribution.patch
>
> Between that and the better performance of scipy (see my other email
> in this thread) I f
On Thu, Sep 17, 2009 at 6:48 AM, Robert Dodier wrote:
> Some random comments on
> http://trac.sagemath.org/sage_trac/attachment/ticket/6827/probability_distribution.patch
Between that and the better performance of scipy (see my other email
in this thread) I figure we should probably throw away
p
On Thu, Sep 17, 2009 at 6:28 AM, Jason Grout
wrote:
> I tried generating lots of normally distributed values after applying
> the patch. It seems that scipy was the winner by far for speed:
>
> sage: a=RealDistribution('gaussian', 2)
> sage: %timeit [a.get_random_element() for _ in range(1000)]
2009/9/16 lgautier :
>
>
>
> On Sep 17, 6:44 am, Jason Grout wrote:
>> Jason Grout wrote:
>> > Carlo Hamalainen wrote:
>> >> On Wed, Sep 16, 2009 at 7:46 PM, Jason Grout
>> >> wrote:
>> >>> R has a C interface for lots of functions (like the distribution
>> >>> functions that I wanted today). I
On Sep 17, 6:44 am, Jason Grout wrote:
> Jason Grout wrote:
> > Carlo Hamalainen wrote:
> >> On Wed, Sep 16, 2009 at 7:46 PM, Jason Grout
> >> wrote:
> >>> R has a C interface for lots of functions (like the distribution
> >>> functions that I wanted today). I imagine that a stats module woul
2009/9/16 Robert Dodier :
>
> William Stein wrote:
>
>> so if you could say more about what you might
>> want such a "nice module" to do, it would be very useful!
>
> Well, in order to have some functionality above and beyond
> what R or other numerical systems offer, I think you should
> emphasiz
William Stein wrote:
> so if you could say more about what you might
> want such a "nice module" to do, it would be very useful!
Well, in order to have some functionality above and beyond
what R or other numerical systems offer, I think you should
emphasize symbolic computation. Wrapping numeric
Carlo Hamalainen wrote:
> So what do you think about this patch?
> http://trac.sagemath.org/sage_trac/ticket/6827
Some random comments on
http://trac.sagemath.org/sage_trac/attachment/ticket/6827/probability_distribution.patch
Feel free to ignore this ranting.
757 def cum_distri
2009/9/16 Jason Grout :
>
> Carlo Hamalainen wrote:
>> On Wed, Sep 16, 2009 at 7:46 PM, Jason Grout
>> wrote:
>>> R has a C interface for lots of functions (like the distribution
>>> functions that I wanted today). I imagine that a stats module would use
>>> Cython to call the C functions for th
Jason Grout wrote:
> Carlo Hamalainen wrote:
>> On Wed, Sep 16, 2009 at 7:46 PM, Jason Grout
>> wrote:
>>> R has a C interface for lots of functions (like the distribution
>>> functions that I wanted today). I imagine that a stats module would use
>>> Cython to call the C functions for these sor
Carlo Hamalainen wrote:
> On Wed, Sep 16, 2009 at 7:46 PM, Jason Grout
> wrote:
>> R has a C interface for lots of functions (like the distribution
>> functions that I wanted today). I imagine that a stats module would use
>> Cython to call the C functions for these sorts of things, but then use
2009/9/16 Jason Grout :
>
> William Stein wrote:
>
>> I did write a lot of stats in Cython already, and it's much faster
>> than both R and scipy.stats at what it does (at least last time I
>> checked). This is all the code in Sage's finance.TimeSeries...
>> It's very specialized though compared
William Stein wrote:
> I did write a lot of stats in Cython already, and it's much faster
> than both R and scipy.stats at what it does (at least last time I
> checked). This is all the code in Sage's finance.TimeSeries...
> It's very specialized though compared to what is offered by Scipy/R.
>
2009/9/16 Dag Sverre Seljebotn :
>
> William Stein wrote:
>> On Wed, Sep 16, 2009 at 12:00 PM, Dag Sverre Seljebotn
>> wrote:
>>> Jason Grout wrote:
Carlo Hamalainen wrote:
> On Wed, Sep 16, 2009 at 7:46 PM, Jason Grout
> wrote:
>> R has a C interface for lots of functions (like
lgautier wrote:
> rpy2 is in fact providing 2 interfaces: a lower-level one (close to
> R's C API),
> and an higher-level one (written using the lower-level one, and able
> to use
> lower-level objects instead of higher-level ones). The lower-level
> interface
> is in fact design to permit the im
Dag Sverre Seljebotn wrote:
> (With regards to creating Cython wrappers directly to C functions, I'd
> rather use the SciPy functionality, which is essentially the same thing,
> only that no reimplementation of the wheel is needed.)
I meant that R already has C functions to calculate lots of
On Sep 16, 7:46 pm, Jason Grout wrote:
> William Stein wrote:
> > On Wed, Sep 16, 2009 at 10:03 AM, wrote:
> >> Another idea for a project is to finish the statistics module wrapping
> >> functionality in R. I'm teaching a modeling class right now and I wish I
> >> had a nice module of stat
On Wed, Sep 16, 2009 at 9:34 PM, Dag Sverre Seljebotn
wrote:
> And in the *few* cases where it would make sense to reimplement anything
> in Cython for speed rather than interface with R (not my idea!), it
> seems likely that the functionality in question is primitive enough for
> SciPy to contai
William Stein wrote:
> On Wed, Sep 16, 2009 at 12:00 PM, Dag Sverre Seljebotn
> wrote:
>> Jason Grout wrote:
>>> Carlo Hamalainen wrote:
On Wed, Sep 16, 2009 at 7:46 PM, Jason Grout
wrote:
> R has a C interface for lots of functions (like the distribution
> functions that I wan
On Sep 16, 10:32 am, William Stein wrote:
> > Another idea for a project is to finish the statistics module wrapping
> > functionality in R. I'm teaching a modeling class right now and I wish I
> > had a nice module of statistics functionality.
Introductory statistics (the pre-calculus version
On Wed, Sep 16, 2009 at 12:00 PM, Dag Sverre Seljebotn
wrote:
>
> Jason Grout wrote:
>> Carlo Hamalainen wrote:
>>> On Wed, Sep 16, 2009 at 7:46 PM, Jason Grout
>>> wrote:
R has a C interface for lots of functions (like the distribution
functions that I wanted today). I imagine that a
On Wed, Sep 16, 2009 at 12:00 PM, Dag Sverre Seljebotn
wrote:
>
> Jason Grout wrote:
>> Carlo Hamalainen wrote:
>>> On Wed, Sep 16, 2009 at 7:46 PM, Jason Grout
>>> wrote:
R has a C interface for lots of functions (like the distribution
functions that I wanted today). I imagine that a
Jason Grout wrote:
> Carlo Hamalainen wrote:
>> On Wed, Sep 16, 2009 at 7:46 PM, Jason Grout
>> wrote:
>>> R has a C interface for lots of functions (like the distribution
>>> functions that I wanted today). I imagine that a stats module would use
>>> Cython to call the C functions for these sor
On Sep 16, 1:46 pm, Jason Grout wrote:
> William Stein wrote:
> > On Wed, Sep 16, 2009 at 10:03 AM, wrote:
> >> Another idea for a project is to finish the statistics module wrapping
> >> functionality in R. I'm teaching a modeling class right now and I wish I
> >> had a nice module of stat
Carlo Hamalainen wrote:
> On Wed, Sep 16, 2009 at 7:46 PM, Jason Grout
> wrote:
>> R has a C interface for lots of functions (like the distribution
>> functions that I wanted today). I imagine that a stats module would use
>> Cython to call the C functions for these sorts of things, but then use
On Wed, Sep 16, 2009 at 7:46 PM, Jason Grout
wrote:
> R has a C interface for lots of functions (like the distribution
> functions that I wanted today). I imagine that a stats module would use
> Cython to call the C functions for these sorts of things, but then use
> rpy2 for the rest of the int
William Stein wrote:
> On Wed, Sep 16, 2009 at 10:03 AM, wrote:
>> Another idea for a project is to finish the statistics module wrapping
>> functionality in R. I'm teaching a modeling class right now and I wish I
>> had a nice module of statistics functionality.
>>
>
> Thanks. If you have a
On Wed, Sep 16, 2009 at 10:03 AM, wrote:
>
> Another idea for a project is to finish the statistics module wrapping
> functionality in R. I'm teaching a modeling class right now and I wish I
> had a nice module of statistics functionality.
>
Thanks. If you have any more specific thoughts abo
On Thu, Jun 18, 2009 at 12:41 PM, Andrzej Giniewicz wrote:
> Hello,
>
> I've read today your talk "What is on the Horizon" and I really liked
> the idea about making Sage best Statistical software around!!! I
> actually had planned similar project (the design stage, not so good
> with Python still
dagss wrote:
> Basically I can see Sage being a great place to merge symbolic
> calculations in statistics and data analysis.
Yup.
> sage: a, b = var('a,b')
> sage: sigmasq = Gamma(a, b); sigmasq
> Gamma distribution with parameters a, b
> sage: y = Normal(0, var=sigmasq); y
> Normal distributi
On May 18, 12:29 am, mhampton wrote:
> Here at Sage Days 15, William Stein gave a presentation on the future
> of Sage in which one of the issues was improved statistics support.
> While we include statistics functionality vis R, rpy, and scipy.stats,
> that functionality is not unified and has u
On May 19, 12:11 am, "hou.andrew" wrote:
> That would be amazing. It'd be neat to have a lot of graphics already
> implemented.
the first thing that always comes to my mind is something like or an
interface to ggplot2 for sage. http://had.co.nz/ggplot2/
h
--~--~-~--~~~
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 wrote:
> On Mon, May 18, 2009 at 1:10 PM, hou.andrew wrote:
>
> > My name is Andrew Hou, I'm an undergrad at the UW who is planning to
> > work with Prof. Stein
On Mon, May 18, 2009 at 1:10 PM, hou.andrew 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, Mathemati
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 c
On Mon, May 18, 2009 at 12:34 AM, Harald Schilly
wrote:
>
>
>
> On May 18, 12:29 am, mhampton 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 thi
On May 18, 12:29 am, mhampton 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 (
Hi,
About (3), basic distributions, and symbolic calculations of pdfs of
distributions defined as functions of basic distributions. Also you
may look into the statistics functionality of Mathematica.
Kwankyu
--~--~-~--~~~---~--~~
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