Bill.Venables at csiro.au
Thu Jan 26 06:03:44 CET 2006
I think if you have a problem that needs a lot of symbolic manipulation
you are probably better off driving it directly from something like
Maple or Mathematica (I prefer maple, actually) than trying to drive it
from R. It just gets too clumsy. On the other hand it is very handy
having a simple differentiator available in R, like D(...) for small
jobs that are not worth taking to a big system like Maple. The point I
was trying to make in the previous message was that with a little
thought it could be made a lot more convenient.
This arose in connexion with a real problem. We needed to differentiate
a pdf that had the normal density function in it, but was otherwise
quite simple and we had to hack the code in another system (not unlike
R, as it happens) to handle it. The hack was quite small and it became
clear that with a slight change of design users would not need to do
hacks like this for simple extensions such as the one we needed. As it
was a hack, we only put it in for the standard density and I suspect
that is the reason why even now the derivative tables in both R and the
other system (not unlike R) only handle normal density and distribution
funcitons in one variable.
I'm sort of avoiding your question, because I don't know how hard it
would be to link R with Yacas, either, but if you really wanted to go
that way I see that Yacas can be driven over the net via a Java applet.
Something like this might provide the simplest link, if not the most
efficient. But note that Yacas uses the eccentric Mathematica notation,
where the functions are Capitalised, for example, as nouns are in
German. That's a small bother you could do without, too.
From: Spencer Graves [mailto:spencer.graves at pdf.com]
Sent: Thursday, 26 January 2006 2:14 PM
To: Venables, Bill (CMIS, Cleveland)
Cc: gunter.berton at gene.com; r-help at stat.math.ethz.ch;
ripley at stats.ox.ac.uk
Subject: Re: [R] D(dnorm...)?
I'm not qualified to make this suggestion since I'm incapable
turning it into reality, but what about creating a link between R and
one of the Mathematica clones like Yacas? I can immagine that it could
be substantially more difficult than linking R to other software like
Excel, but ... .
Bill.Venables at csiro.au wrote:
> Yes Bert, this time you are missing something (unusually) ...
> As Brian Ripley pointed out 'dnorm' is in the derivative table, *but*
> only as a function of one variable. So if you want to find the
> derivative of
> dnorm(x, mean, sigma)
> you have to write it as 1/sigma * dnorm((x - mu)/sigma). Here is a
> little example:
> dnorm((x - mu)/sigma) * (1/sigma)
>>D(D(Quote(pnorm((x-mu)/sigma)), "x"), "mu")
> (x - mu)/sigma * (dnorm((x - mu)/sigma) * (1/sigma)) * (1/sigma)
> Like Brian, I recall the suggestion that we make D(...) extensible. I
> still think it is a good idea and worth considering. Under one scheme
> you would specify an object such as
> Fnorm <- structure(quote(pnorm(x, mu, sigma)),
> deriv =
> list(x = Quote(dnorm(x, mu, sigma)/sigms),
> mu = Quote(-dnorm(x, mu, sigma)/sigma),
> sigma = Quote(-(x - mu)*dnorm(x, mu, sigma)/sigma^2),
> class = "dfunction")
> ane write a generic "differentiate" function with a "dfunction" method
> and "D" as the default.
> I don't think it's quite that easy, but the plan is clear enough.
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Berton Gunter
> Sent: Thursday, 26 January 2006 8:58 AM
> To: 'Spencer Graves'; r-help at stat.math.ethz.ch
> Subject: Re: [R] D(dnorm...)?
> dnorm() is an internal function, so I don't see how D (or deriv) can
> anything with it symbolically. Am I missing something?
> -- Bert
>>From: r-help-bounces at stat.math.ethz.ch
>>[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Spencer Graves
>>Sent: Wednesday, January 25, 2006 2:43 PM
>>To: r-help at stat.math.ethz.ch
>>Subject: [R] D(dnorm...)?
>> Can someone help me understand the following:
>> > D(expression(dnorm(x, mean)), "mean")
>> > sessionInfo()
>>R version 2.2.1, 2005-12-20, i386-pc-mingw32
>>attached base packages:
>> "methods" "stats" "graphics" "grDevices" "utils"
>> By my computations, this should be something like
>> Thanks for your help.
>> Spencer Graves
>>R-help at stat.math.ethz.ch mailing list
>>PLEASE do read the posting guide!
> R-help at stat.math.ethz.ch mailing list
> PLEASE do read the posting guide!
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