halton: 'halton' method for class 'npsf'
In npsf: Nonparametric and Stochastic Efficiency and Productivity Analysis

Description Usage Arguments Value Author(s) See Also Examples

Provides Halton draws, deviates from a uniform distribution.

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  halton(n = 1, n.bases = 1, bases = NULL, 
                   start = 0, random.primes = FALSE, seed = 7, 
                   scale.coverage = FALSE, shuffle = FALSE)

`n`	number of prime numbers to be returned (the row number in the value).
`n.bases`	numeric. number of bases used. (the column number in the value).
`bases`	numeric. Supply specific order numbers for getting primes, see `primes`. See examples.
`start`	numeric. from which value in the halton sequence to start. Default is 0, which is actually 0.
`random.primes`	logical. if `TRUE`, the `n.bases` primes are chosen on a random basis from 100008 available prime numbers. See `primes`.
`seed`	set seed for replicability. Default is 17345168.
`scale.coverage`	logical. at larger primes not whole [0,1] interval is covered. if `TRUE`, `rescale` is used to fill the coverage.
`shuffle`	logical. if `TRUE`, each column in the value is randomly reshuffled (`seed` is used).

halton returns Halton draws.

Oleg Badunenko <oleg.badunenko@brunel.ac.uk>

sf and primes.

  require( npsf )
  
  # obtain first 10 x 7 matrix with the first 7 primes as bases
  npsf::halton(10, n.bases = 7)
  
  # obtain first 10 x 7 matrix with the randomly chosen 7 primes as bases
  npsf::halton(10, n.bases = 7, random.primes = TRUE, seed = 17345168)
  
  # just one column with desired prime
  npsf::halton(10, bases = 1)
  
  # or 2 columns
  npsf::halton(10, bases = c(1,7))
  
  # if bases are large
  npsf::halton(10, bases = c(1,7)*1000)
  
  # the coverage is not great
  npsf::halton(10, bases = c(1,7)*1000, scale.coverage = TRUE)
  
  # reshuffle them, use seed for replicability
  npsf::halton(10, bases = c(1,7)*1000, scale.coverage = TRUE, shuffle = TRUE, seed = 17345168)