peter dalgaard gmail.com> writes:
>
> On Dec 6, 2010, at 15:15 , Jonathan P Daily wrote:
>
> > Correct me if I'm wrong, but isn't the minimal x value in your example
> > the same regardless of what positive coefficient you apply to x? If that
> > is the case, you would expect the same min(x) for
org; sandra lag
Subject: Re: [R] Optimize multiple variable sets
I suppose I should have been more clear. I saw that her interval did not
include the actual minimum, but I was asking if (and if, why) she was
expecting the minimum x value to be different for each run. If the y value
were returned t
uot;Is the room still a room when its empty? Does the room,
the thing itself have purpose? Or do we, what's the word... imbue it."
- Jubal Early, Firefly
peter dalgaard wrote on 12/06/2010 09:39:43 AM:
> [image removed]
>
> Re: [R] Optimize multiple variable
On Dec 6, 2010, at 15:15 , Jonathan P Daily wrote:
> Correct me if I'm wrong, but isn't the minimal x value in your example the
> same regardless of what positive coefficient you apply to x? If that is
> the case, you would expect the same min(x) for each iteration.
>
> i.e. in the interval [0
the word... imbue it."
- Jubal Early, Firefly
r-help-boun...@r-project.org wrote on 12/06/2010 07:00:57 AM:
> [image removed]
>
> [R] Optimize multiple variable sets
>
> sandra lag
>
> to:
>
> r-help
>
> 12/06/2010 08:54 AM
>
> Sent by:
Hi,
I usually use optimize function for ML Estimation. Now I´ve got a data frame
with many sets, but I can´t save estimates each time I run the code for each
data set (I´m using a for loop with my loglikelihood function and works ok but
when I apply another for loop to:
optimize(my.loglikeliho
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