rgammashift: Random sample from shifted gamma distribution

In highDmean: Testing Two-Sample Mean in High Dimension

Description

This function generates random samples from shifted gamma distribution. That is, random samples are first generated from gamma distribution with shape parameter shape and scale parameter scale and then the mean of the gamma distribution, shape*scale, is subtracted from the sample.

Usage

rgammashift(n, shape, scale)

Arguments

n	number of observations.
shape	the shape parameter of gamma distribution
scale	the scale parameter of gamma distribution #'

Value

A vector of n values. It is equivalent to rgamma(n, shape, scale)- shape * scale.

Examples

# Generate a sample of shifted gamma observations with shape parameter 4 and scale parameter 2.
set.seed(10)
rgammashift(n = 5, shape =4, scale = 2)
# It is equivalent to
set.seed(10)
rgamma(n = 5, shape=4, scale=2)- 4 * 2

highDmean documentation built on July 2, 2020, 3:15 a.m.