On Aug 31, 2009, at 8:31 PM, Worik R wrote:
This programme
for(T in 1:3){
for(j in 1:(5-1)){
for(k in (j+1):5){
for(l in (j+2):5){
print(paste(1 JKL:, j,k,l,sep= ))
}
}
}
}
Prints out (among other things)
[1] 1 JKL: 4 5 6
That is for(l in (j+2):5) sets l to 6 one
I get that.
Still trying to figure out what the multi nominal labels they used
were. That's why I passed on the reference to the seminar summary.
On 8/31/09 5:40 PM, Achim Zeileis wrote:
On Mon, 31 Aug 2009, Noah Silverman wrote:
Thanks Achim,
I discovered the Journal article just after
On Aug 31, 2009, at 7:19 PM, Josef Fruehwald wrote:
Hi all,
I'm using the ssanova function from the gss package to fit smoothing
spline
anovas, and am running into some difficulty.
For my data, I have measurements at 2 milisecond intervals for every
observation. Every observation does not
On Mon, 31 Aug 2009, Noah Silverman wrote:
I get that.
Still trying to figure out what the multi nominal labels they used were.
That's why I passed on the reference to the seminar summary.
So that I could do the research for you? Come on...the usual strategy
applies: Look at the
On Mon, 31 Aug 2009, Noah Silverman wrote:
Thanks Achim,
I discovered the Journal article just after posting this question. It did
help explain more.
My original inspiration for looking at this package came from a seminar
summary given in 2002. Unfortunately , I can not find any actual
Um. I did my research. Have been for years. I assume you're
referring to Boltman and Chapmanm A multinomial logit model for
handicapping horse races included in Efficiency of racetrack betting
markets. Page 155 references what they call a multinomial model.
From equation 14 in their
On Mon, 31 Aug 2009, Noah Silverman wrote:
Um. I did my research. Have been for years. I assume you're referring
to Boltman and Chapmanm A multinomial logit model for handicapping horse
races included in Efficiency of racetrack betting markets. Page 155
references what they call a
It is my understanding that they ARE using a binary model. In fact,
they even discuss exploding the model to count second and third place
finishers as winners. Otherwise, how can one calculate the
probability of the positive class (winner)? If I'm mistaken and they
are in fact predicting
ANJAN PURKAYASTHA wrote:
Most books on R I come across describe running statistical procedures
in R.
Any suggestions on a good book that teaches *programming* in R?
Thanks,
Anjan
I'm in the midst of writing such a book right now. It will be published
early next year, by the whimsically
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