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Alex Rivera
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In a longer script I have to multiply the length of a vector A (2614) with the numbers of rows of a dataframe B (1456000). If I do that directly with length(A) * nrow(B) I get the message NAs produced by integer overflow although there's no problem when I multiply the same numbers: 2614 * 1456000 [1] 3805984000 The only way to get the multiplication to work is round(length(A)) * nrow(B) or length(A) * round(nrow(B)) . But the numbers produced by length and nrow must be integers anyhow! Moreover, I tested this with the following function suggested on the help page for the function is.integer... is.wholenumber <- function(x, tol = .Machine$double.eps^0.5) abs(x-round(x)) < tol ... and of course, they ARE integers. So why do I need the crutches "round" here? Very puzzling... Somebody has got an idea what's going on in the background?
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