Alexander Shenkin <ashenkin <at> ufl.edu> writes:
>
> Hello All,
>
> I'm trying to run a maximum likelihood analysis using dmultinomial (i'm
> avoiding dmultinom as I'd like to run it with vectors for the ML stuff).
> However, I'm having a hard time getting even the simplest example
> running. Any help would be greatly appreciated.
>
> > library(mc2d)
> > dmultinomial(x=c(0,0,1),prob=c(1,1,1),size=1,log=TRUE)
> Error in if (ncol(x) != K) stop("x[] and prob[] must be equal length
> vectors or equal col matrix.") :
> argument is of length zero
>
> # Once I get the simple stuff above running, I'd like to be able to do
> the following:
>
> > testmat=rmultinomial(4, 1, prob)
> > testmat
> [,1] [,2] [,3]
> [1,] 1 0 0
> [2,] 0 0 1
> [3,] 0 0 1
> [4,] 0 0 1
> > dmultinomial(x=testmat,prob=prob,size=1,log=TRUE)
> Error in if (!is.null(size) && nrow(size) != n) size <- matrix(t(size), :
> missing value where TRUE/FALSE needed
>
> thanks,
> allie
>
>
Hi Allie :-)
You might be able to vectorize for yourself using
apply, mapply ... ?
prob <- c(1,1,1)
dmultinom(c(0,0,1),prob=c(1,1,1),size=1,log=TRUE)
set.seed(1001)
testmat <- rmultinom(n=4,size=1,prob)
## note values are returned as COLUMNS
apply(testmat,2,dmultinom,prob=prob,size=1,log=TRUE)
I finally figured out how to install mc2d (after misreading
it as "m2cd" about 25 times -- argh !!) and am having the
same sorts of troubles. I am out of my time quota for figuring
this out ... sorry ...
Ben
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