Why converting number to integer I get NA?

Question

Hello I am trying to convert number to integer in R but when a number is too large it is converted to NA, why? How can I avoid this problem?

just some example

>df[,2] 
[1]          0          0          0          0          0          0          0    5361230  780600500          0          0          0
 [13]  764111150          0          0          0          0         9999816350 0         23237410347   91198500 1957077150  124890245   64232150

>as.integer(df[,2])
 [1]          0          0          0          0          0          0          0    5361230  780600500          0          0          0
 [13]  764111150          0          0          0          0         NA          0         NA   91198500 1957077150  124890245   64232150

I would like to mantain the NA as the original number is it possible? thanks

You can either find the outlier with `boxplot` or use quantile — akrun, May 29 '19 at 14:27
See this post https://stackoverflow.com/questions/14589354/struggling-with-integers-maximum-integer-size. Have a look at the `gmp` package if you want to work with big integers — Andrew Gustar, May 29 '19 at 14:28

G. Grothendieck · Answer 1 · 2019-05-29T14:42:11.300

4

Your number is too large to fit into an integer:

23237410347 > .Machine$integer.max
## [1] TRUE

Maybe it is good enough to use double. Also, there is a package that supports 64 bit integers (R natively supports 32 bit).

library(bit64)

as.integer64(23237410347)
## integer64
## [1] 23237410347

edited May 29 '19 at 14:42

answered May 29 '19 at 14:35

G. Grothendieck

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Why converting number to integer I get NA?

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