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
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 if I try
UC Berkeley
[EMAIL PROTECTED]
On Tue, 4 Mar 2008, Pete Dorothy wrote:
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
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
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