> Hi all, I have a question concerning an error that occurs when using the
> inspect() function on a set of rules made by the apriori function from the
> arules package. I have a dataset with 12 million records. It contains some
> basic sales information (such as product, customer data). I want to use the
> apriori function from the arules package on it: ruleset <- apriori(sales,
> parameter=list(support=0.0005, confidence=0.1, minlen=2))It gives me 780379
> rules. I want to have that much rules on purpose, so hence the parameters
> being so low (I guess you can reproduce this problem with any large dataset
> and low settings for support and confidence). But then I want to check out
> the rules with inspect. It has a subset because I'm only interested in rules
> with the attribute Product in the rhs. inspect(subset(ruleset, subset=rhs
> %pin% "Product="))Then this error occurs: Error in
> inspect(subset(sales3ruleset, subset = rhs %pin% "Product=")) :
> error in evaluating the argument 'x' in selecting a method for function
> 'inspect': Error in .Call("R_or_ngCMatrix", x@data, y@data, PACKAGE =
> "arules") :
> negative length vectors are not allowedI looked around and apparently that
> part about "negative length vectors are not allowed" means that you want to
> create a vector that is larger than 2^31. How can you get around this limit?
> Or how can I make the inspectfunction work in this case?Thanks in advance!Kim
>
Dear Kim,
if you learned to post (i.e. write that e-mail) in plain text,
the above would look more humane..
Still, I was able to decipher it and you are right in that
you hit a limitation of the current setup which may well
be linked to the Matrix package which I maintain, and on which
'arules' depends.
Can you please try to find a reproducible example [with randomly
generated data; i.e., you'd use set.seed(), runif(), rpois(),
rmultinom(), rnorm(), ...] so we,
the maintainer of 'arules' Michael Hahsler (BCC'ed: use
maintainer("arules") to find such an e-mail address),
and myself can look if and how that limitation might be lifted.
Best regards,
Martin Maechler, ETH Zurich
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