integer {base} | R Documentation

## Integer Vectors

### Description

Creates or tests for objects of type `"integer"`.

### Usage

    integer(length = 0)
    as.integer(x, ...)
    is.integer(x)

### Arguments

`length` | desired length.
`x` | object to be coerced or tested.
`...` | further arguments passed to or from other methods.

### 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 on almost all implementations of R the range of representable integers is restricted to about +/-2*10^9: `double`s can hold much larger integers exactly.

### 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 discarded (with a warning). Like `as.vector` it strips attributes including names.
`is.integer` returns `TRUE` or `FALSE` depending on whether its argument is of integer type or not. `is.integer` is generic: you can write methods to handle specific classes of objects, see InternalMethods. There is a method for factors which returns `FALSE`. (Prior to R 2.0.0, there was no such method and for most (but not all) factors `is.integer` returned `TRUE`.)

### References

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

### See Also

`round` (and `ceiling` and `floor` on that help page) to convert to integral values.

### Examples

      ## as.integer() truncates:
      x <- pi * c(-1:1,10)
      as.integer(x)

[Package base version 2.1.1 Index]