NumericsProvider

numeric methods, generate numbers

Super class

charlatan::BareProvider -> NumericsProvider

Methods

Public methods

• NumericsProvider$double()

• NumericsProvider$integer()

• NumericsProvider$unif()

• NumericsProvider$norm()

• NumericsProvider$lnorm()

• NumericsProvider$beta()

• NumericsProvider$clone()

Inherited methods

• charlatan::BareProvider$bothify()
• charlatan::BareProvider$lexify()
• charlatan::BareProvider$numerify()
• charlatan::BareProvider$print()
• charlatan::BareProvider$random_digit()
• charlatan::BareProvider$random_digit_not_zero()
• charlatan::BareProvider$random_digit_not_zero_or_empty()
• charlatan::BareProvider$random_digit_or_empty()
• charlatan::BareProvider$random_element()
• charlatan::BareProvider$random_element_prob()
• charlatan::BareProvider$random_int()
• charlatan::BareProvider$random_letter()
• charlatan::BareProvider$randomize_nb_elements()

---

Method double()

get a double, pulls from normal distribution

Usage

NumericsProvider$double(n = 1, mean = 0, sd = 1)

Arguments

n

(integer) number of values, default: 1

mean

mean value, default: 0

sd

standard deviation, default: 1

---

Method integer()

get an integer, runs sample() on range given

Usage

NumericsProvider$integer(n = 1, min = 1, max = 1000)

Arguments

n

(integer) number of values, default: 1

min

minimum value, default: 1

max

maximum value, default: 1000

---

Method unif()

get numbers from the uniform distribution

Usage

NumericsProvider$unif(n = 1, min = 0, max = 9999)

Arguments

n

(integer) number of values, default: 1

min

minimum value, default: 1

max

maximum value, default: 1000

---

Method norm()

get numbers from the normal distribution

Usage

NumericsProvider$norm(n = 1, mean = 0, sd = 1)

Arguments

n

(integer) number of values, default: 1

mean

mean value, default: 0

sd

standard deviation, default: 1

---

Method lnorm()

get numbers from the lognormal distribution

Usage

NumericsProvider$lnorm(n = 1, mean = 0, sd = 1)

Arguments

n

(integer) number of values, default: 1

mean

mean value, default: 0

sd

standard deviation, default: 1

---

Method beta()

get numbers from the beta distribution

Usage

NumericsProvider$beta(n = 1, shape1, shape2, ncp = 0)

Arguments

n

(integer) 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

---

Method clone()

The objects of this class are cloneable with this method.

Usage

NumericsProvider$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

z <- NumericsProvider$new()

z$double()
#> [1] 0.6274909
z$double(10)
#>  [1]  0.82250394 -0.02234212  1.72386032 -0.29242599 -0.33458009 -0.01715730
#>  [7] -2.04457881 -1.29253095 -1.29238974 -0.55272404
z$double(10, mean = 100)
#>  [1] 100.20243  99.61637  99.05393  98.76779 100.29301 100.11733 100.70762
#>  [8] 101.96876 100.87035  99.08668
z$double(10, mean = 100, sd = 17)
#>  [1] 103.78318  77.55447 122.33381  87.59693  84.16423 108.78935 104.79715
#>  [8]  82.02750  90.21246  74.43614

z$integer()
#> [1] 2
z$integer(10)
#>  [1] 924 842 259 574 688 997 779 585 934 604
z$integer(10, 1, 20)
#>  [1]  7 14 17 12  2 17 10  3 13 19
z$integer(10, 1, 10000000L)
#>  [1] 6328585 7688163  511873 2943010 9077977 8966956 1584793 9592701 9116674
#> [10] 1725078

z$unif()
#> [1] 8273.355
z$norm()
#> [1] 0.8385327
z$lnorm(10)
#>  [1] 2.88931184 1.99709958 1.95929785 0.94663397 0.38663518 0.05385108
#>  [7] 3.74354215 1.54297478 0.29396991 1.67507462
z$beta(10, 1, 1)
#>  [1] 0.81059553 0.05705297 0.09481279 0.95385979 0.57083511 0.33032058
#>  [7] 0.41852217 0.33992936 0.23875820 0.09864429