charlatan (version 0.2.2)

NumericsProvider: NumericsProvider

Description

NumericsProvider

Details

Methods

• double(n, mean, sd) - get a double, pulls from normal distribution

  • n: number of values, default: 1

  • mean: mean value, default: 0

  • sd: standard deviation, default: 1

• integer(n, min, max) - get an integer, runs sample() on range given

  • n: number of values, default: 1

  • min: minimum value, default: 1

  • max: maximum value, default: 1000

• unif(n, min, max) - get numbers from the uniform distribution

  • n: number of values, default: 1

  • min: minimum value, default: 0

  • max: maximum value, default: 9999

• norm(n, mean, sd) - get numbers from the normal distribution

  • n: number of values, default: 1

  • mean: mean value, default: 0

  • sd: standard deviation, default: 1

• lnorm(n, mean, sd) - get numbers from the lognormal distribution

  • n: number of values, default: 1

  • mean: mean value, default: 0

  • sd: standard deviation, default: 1

• beta(n, shape1, shape2, ncp) - get numbers from the beta distribution

  • n: number of values, default: 1

  • shape1: non-negative parameters of the Beta distribution

  • shape2: non-negative parameters of the Beta distribution

  • ncp: non-centrality parameter, default: 0

Examples

# NOT RUN {
z <- NumericsProvider$new()

z$double()
z$double(10)
z$double(10, mean = 100)
z$double(10, mean = 100, sd = 17)

z$integer()
z$integer(10)
z$integer(10, 1, 20)
z$integer(10, 1, 10000000L)

z$unif()
z$norm()
z$lnorm(10)
z$beta(10, 1, 1)
# }