I'm very new to R and am trying to create my first loop.
I have:
x <-c(0:200)
A <- dpois(x,exp(4.5355343))
B <- dpois(x,exp(4.5355343 + 0.0118638))
C <- dpois(x,exp(4.5355343 -0.0234615))
D <- dpois(x,exp(4.5355343 + 0.0316557))
E <- dpois(x,exp(4.5355343 + 0.0004716))
F <- dpois(x,exp(4.5355343
Thank you all!
It's working perfectly. I will have a look for an online guide.
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R-help@r
Hi,
I am trying to compare negative binomial models for the prediction of sports
games (I know that Poisson models would be better but I'm just trying
Negative Binomial at the moment).
But, to compare the models I need them to have the same theta value. How
can I change the explanatory variables
I've created a linear model and am trying to use the predict function to
predict the outcome of a sports game.
I have four explanatory variables a,b,c,d. where a,b relate to the home
team and c,d relate to the away team.
i'd like to know the probability that the home team wins (assuming no
draw
4 matches
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