Is a vector integer-like?

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)

Arguments

x

Object to be tested.

n

Expected length of a vector.

finite

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).

Examples

is_integerish(10L)
#> [1] TRUE
is_integerish(10.0)
#> [1] TRUE
is_integerish(10.0, n = 2)
#> [1] FALSE
is_integerish(10.000001)
#> [1] FALSE
is_integerish(TRUE)
#> [1] FALSE