R: integer64: random numbers

runif64 {bit64} | R Documentation

## integer64: random numbers

### Description

Create uniform random 64-bit integers within defined range

### Usage

      runif64(n, min = lim.integer64()[1], max = lim.integer64()[2], replace=TRUE)

### Arguments

`n` | length of return vector
`min` | lower inclusive bound for random numbers
`max` | upper inclusive bound for random numbers
`replace` | set to FALSE for sampleing from a finite pool, see `sample`

### Details

For each random integer we call R's internal C interface `unif_rand()` twice. Each call is mapped to 2^32 unsigned integers. The two 32-bit patterns are concatenated to form the new integer64. This process is repeated until the result is not a `NA_INTEGER64`.

### Value

a integer64 vector

### Author(s)

Jens Oehlschlägel <Jens.Oehlschlaegel@truecluster.com>

### See Also

`runif`, `hashfun`

### Examples

      runif64(12)
      runif64(12, -16, 16)
      runif64(12, 0, as.integer64(2^60)-1)  # not 2^60-1 !
      var(runif(1e4))
      var(as.double(runif64(1e4, 0, 2^40))/2^40)  # ~ = 1/12 = .08333

      table(sample(16, replace=FALSE))
      table(runif64(16, 1, 16, replace=FALSE))
      table(sample(16, replace=TRUE))
      table(runif64(16, 1, 16, replace=TRUE))

[Package bit64 version 4.0.2 Index]