qshift: Compute quantile function of a shifted distribution

In veronicagiro/qshift: Distribution factory

Description

Compute quantile function of a shifted distribution

Usage

qshift(dist)

Arguments

dist

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 the quantile function of a specified distribution

Examples

# Negative Binomial distribution
qnb <- qshift("nbinom")
zero_shift <- qnb(p = c(0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1), size = 6, mu = 4, shift = 0)
zero_shift
one_shift <- qnb(p = c(0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1), size = 6, mu = 4, shift = 1)
one_shift
two_shift <- qnb(p = c(0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1), size = 6, mu = 4, shift = 2)
two_shift

# Chi Squared Distribution
qc <- qshift("chisq")
zero_shift <- qc(p = c(0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1), df = 2, shift = 0)
zero_shift
one_shift <- qc(p = c(0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1), df = 2, shift = 1)
one_shift
two_shift <- qc(p = c(0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1), df = 2, shift = 2)
two_shift

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