integer

R Base 3.6.2

Creates or tests for objects of type "integer".

Syntax

integer(length = 0)
as.integer(x, &#8230;)
is.integer(x)

Arguments

Parameter	Description
`length`	A non-negative integer specifying the desired length. Double values will be coerced to integer: supplying an argument of length other than one is an error.
`x`	object to be coerced or tested.
`…`	further arguments passed to or from other methods.

Return Value

integer creates a integer vector of the specified length. Each element of the vector is equal to 0. as.integer attempts to coerce its argument to be of integer type. The answer will be NA unless the coercion succeeds. Real values larger in modulus than the largest integer are coerced to NA (unlike S which gives the most extreme integer of the same sign). Non-integral numeric values are truncated towards zero (i.e., as.integer(x) equals trunc(x) there), and imaginary parts of complex numbers are

Details

Integer vectors exist so that data can be passed to C or Fortran code which expects them, and so that (small) integer data can be represented exactly and compactly. Note that current implementations of R use 32-bit integers for integer vectors, so the range of representable integers is restricted to about \(\pm 2 \times 10^9\): doubles can hold much larger integers exactly.

Examples

Example

# NOT RUN {
## as.integer() truncates:
x <- pi * c(-1:1, 10)
as.integer(x)

is.integer(1) # is FALSE !

is.wholenumber <-
    function(x, tol = .Machine$double.eps^0.5)  abs(x - round(x)) < tol
is.wholenumber(1) # is TRUE
(x <- seq(1, 5, by = 0.5) )
is.wholenumber( x ) #-->  TRUE FALSE TRUE ...
# }