Converting a Document Term Matrix into a Matrix with lots of data causes overflow

Question

Let\'s do some Text Mining

Here I stand with a document term matrix (from the tm Package)

dtm <- TermDocumentMatrix(
     myCorpus,
          


        

Answer 1

Based on Joris Meys answer, I've found the solution. "vector()" documentation regarding "length" argument

... For a long vector, i.e., length > .Machine$integer.max, it has to be of type "double"...

So we can make a tiny fix of the as.matrix():

as.big.matrix <- function(x) {
  nr <- x$nrow
  nc <- x$ncol
  # nr and nc are integers. 1 is double. Double * integer -> double
  y <- matrix(vector(typeof(x$v), 1 * nr * nc), nr, nc)
  y[cbind(x$i, x$j)] <- x$v
  dimnames(y) <- x$dimnames
  y
}