extraDistr (version 1.9.1)

PowerDist: Power distribution

Description

Density, distribution function, quantile function and random generation for the power distribution.

Usage

dpower(x, alpha, beta, log = FALSE)
ppower(q, alpha, beta, lower.tail = TRUE, log.p = FALSE)
qpower(p, alpha, beta, lower.tail = TRUE, log.p = FALSE)
rpower(n, alpha, beta)

Arguments

x, q

vector of quantiles.

alpha, beta

parameters.

log, log.p

logical; if TRUE, probabilities p are given as log(p).

lower.tail

logical; if TRUE (default), probabilities are \(P[X \le x]\) otherwise, \(P[X > x]\).

p

vector of probabilities.

n

number of observations. If length(n) > 1, the length is taken to be the number required.

Details

Probability density function $$ f(x) = \frac{\beta x^{\beta-1}}{\alpha^\beta} $$

Cumulative distribution function $$ F(x) = \frac{x^\beta}{\alpha^\beta} $$

Quantile function $$ F^{-1}(p) = \alpha p^{1/\beta} $$

Examples

x <- rpower(1e5, 5, 16)
hist(x, 100, freq = FALSE)
curve(dpower(x, 5, 16), 2, 6, col = "red", add = TRUE, n = 5000)
hist(ppower(x, 5, 16))
plot(ecdf(x))
curve(ppower(x, 5, 16), 2, 6, col = "red", lwd = 2, add = TRUE)