Try using 'sqldf' to get your result
sqldf("select alpha_id, beta_id, count(*) from gc group by alpha_id, beta_id")
You might also try 'data.table'
On Wed, Dec 8, 2010 at 11:12 PM, mathijsdevaan <mathijsdev...@gmail.com> wrote:
>
> Hello,
>
> I have uploaded a csv file that looks like this:
>
>> gc
> alpha_id beta_id
> 1 142053 1
> 2 9454 1
> 3 295618 2
> 4 42691 2
> 5 389224 3
> 6 9455 3
>
> The alpha_id contains 310660 unique values and the beta_id contains 17431
> unique values. The number of rows adds up to more than 1.3 million. Now I
> want to convert this list of observations into a matrix with alpha_id in the
> first row and beta_id in the first column (or vice versa) and a count in the
> cells. So this would be an option M = as.matrix( table(gc) ). However, I
> keep getting this error message:
>
> Error in vector("integer", length) : vector size cannot be NA
> In addition: Warning messages:
> 1: In pd * (as.integer(cat) - 1L) : NAs produced by integer overflow
> 2: In pd * nl : NAs produced by integer overflow
>
> There is no missing data in my file, so I don't know what's wrong. Can you
> please help me? Thanks!
>
> Mathijs
>
>
>
>
> --
> View this message in context:
> http://r.789695.n4.nabble.com/Error-in-vector-integer-length-vector-size-cannot-be-NA-tp3079566p3079566.html
> Sent from the R help mailing list archive at Nabble.com.
>
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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>
--
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
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