These predicates check whether R considers a number vector to be integer-like, according to its own tolerance check (which is in fact delegated to the C library). This function is not adapted to data analysis, see the help for base::is.integer() for examples of how to check for whole numbers.

Things to consider when checking for integer-like doubles:

  • This check can be expensive because the whole double vector has to be traversed and checked.

  • Large double values may be integerish but may still not be coercible to integer. This is because integers in R only support values up to 2^31 - 1 while numbers stored as double can be much larger.

is_integerish(x, n = NULL, finite = NULL)

is_bare_integerish(x, n = NULL, finite = NULL)

is_scalar_integerish(x, finite = NULL)



Object to be tested.


Expected length of a vector.


Whether all values of the vector are finite. The non-finite values are NA, Inf, -Inf and NaN. Setting this to something other than NULL can be expensive because the whole vector needs to be traversed and checked.

See also

is_bare_numeric() for testing whether an object is a base numeric type (a bare double or integer vector).


#> [1] TRUE
#> [1] TRUE
is_integerish(10.0, n = 2)
#> [1] FALSE
#> [1] FALSE
#> [1] FALSE