Thank you everybody.
Phil, your expand.grid works very nicely and I will use it for
non-vectorized functions.
Yet I am a bit confused about "vectorization". For me it is synonymous of
"no loop". :-(
I wrote a toy example (with a function which is not my log-likelihood).
FIRST PART
nir=1:10
log
Department of Statistics
> UC Berkeley
> [EMAIL PROTECTED]
>
>
>
>
> On Tue, 4 Mar 2008, Pete Dorothy wrote:
>
> > Hello,
> >
> > I have simulated a set o
Hello,
I have simulated a set of data which i called "nir" (a vector).
I have created a function "logl" which calculates the log-likelihood.
logl is a function of 2 real parameters : "beta" and "zeta" (of length 1).
This function works perfectly well when I try for example "logl(0.1,0.2)"
Now
Hello,
I am sorry for asking such a basic question. I could not find an answer to
it using google.
I have a discrete variable (a vector x) taking for example the following
values : 0, 3, 4, 3, 15, 5, 6, 5
Is it possible to know how many different values (modalities) it takes ?
Here it takes 6 di
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