I was using a function that requires input as integers.
So I have been trying to read up on making things integers:
y <- 3.14 as.integer(y) [1] 3 # all cool
All good, but if I have
x <- 1639195531833 as.integer(x) [1] NA Warning message: NAs introduced by coercion
I had options(digits = 15)
on and it confused my why it wasn't working but in a clean session it must be to do with the scientific notation.
I also tried to trick R but it was not happy:
as.integer(as.character(x)) [1] 2147483647 Warning message: inaccurate integer conversion in coercion
How do I defeat scientific notation and get my integers?
The number 2,147,483,647 (or hexadecimal 7FFFFFFF16) is the maximum positive value for a 32-bit signed binary integer in computing. It is therefore the maximum value for variables declared as integers (e.g., as int ) in many programming languages.
The largest integer R can hold is
.Machine$integer.max # [1] 2147483647
This has nothing to do with scientific notation and everything to do with how the computer actually stores the numbers. The current version of R stores integers still as 32bit, regardless of the architecture. This might change in the future though.
see also ?as.integer
Currently you can get access to 64 bit integers through the int64 package
> as.integer(.Machine$integer.max) [1] 2147483647 > # We get problems with this > as.integer(.Machine$integer.max + 1) [1] NA Warning message: NAs introduced by coercion > # But if we use int64 > library(int64) > as.int64(.Machine$integer.max) + 1L [1] 2147483648
Update to Dason's answer (don't have enough reputation to make a comment):
The int64 package has now been deprecated, however there is now a package called bit64. I was able to achieve the same result using it. The syntax changed only slightly from "as.int64" to "as.integer64".
I.e.
library(bit64) as.integer64(.Machine$integer.max) + 1L
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