pshift: Compute distribution function of a shifted distribution

In veronicagiro/qshift: Distribution factory

Description

Compute distribution function of a shifted distribution

Usage

pshift(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 the distribution function of a specified distribution

Examples

# Poisson Distribution
pp <- pshift("pois")
zero_shift <- pp(q = c(1,2,3,4,5), lambda = 1.5, shift = 0)
zero_shift
one_shift <- pp(q = c(1,2,3,4,5), lambda = 1.5, shift = 1)
one_shift
two_shift <- pp(q = c(1,2,3,4,5), lambda = 1.5, shift = 2)
two_shift

# Student t distribution
pt <- pshift("t")
zero_shift <- pt(q = c(1,2,3,4,5), df = 40, shift = 0)
zero_shift
one_shift <- pt(q = c(1,2,3,4,5), df = 40, shift = 1)
one_shift
two_shift <- pt(q = c(1,2,3,4,5), df = 40, shift = 2)
two_shift

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