rshift: Perform Random generation for a shifted distribution

In veronicagiro/qshift: Distribution factory

Description

Perform Random generation for a shifted distribution

Usage

rshift(dist)

Arguments

dist

character string indicating distribution name. It can be set as: beta Beta Distribution binom Binomial Distribution cauchy Cauchy Distribution chisq Chi-Square Distribution exp Exponential Distribution f F Distribution gamma Gamma Distribution geom Geometric Distribution hyper Hypergeometric Distribution logis Logistic Distribution lnorm Log Normal Distribution nbinom Negative Binomial Distribution norm Normal Distribution pois Poisson Distribution t Student t Distribution unif Uniform Distribution weibull Weibull Distribution wilcox Wilcoxon Rank Sum Statistic Distribution signrank Wilcoxon Signed Rank Statistic Distribution

Value

numeric vector of random generated values from a specified distribution

Examples

# Binomial Distribution
rb <- rshift("binom")
set.seed(1)
zero_shift <- rb(n = 10000, size = 6, prob = 0.5, shift = 0)
zero_shift
set.seed(1)
one_shift <- rb(n = 10000, size = 6, prob = 0.5, shift = 1)
one_shift
set.seed(1)
two_shift <- rb(n = 10000, size = 6, prob = 0.5, shift = 2)
two_shift

# Weibull Distribution
rw <- rshift("weibull")
set.seed(1)
zero_shift <- rw(n = 1000, shape = 1.4, scale = 3, shift = 0)
zero_shift
set.seed(1)
one_shift <- rw(n = 1000, shape = 1.4, scale = 3, shift = 1)
one_shift
set.seed(1)
two_shift <- rw(n = 1000, shape = 1.4, scale = 3, shift = 2)
two_shift

veronicagiro/qshift documentation built on May 3, 2019, 6:10 p.m.