Error in vector("integer", length) : vector size cannot be NA

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!

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




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