PowerDist: Power distribution

In extraDistr: Additional Univariate and Multivariate Distributions

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)

extraDistr documentation built on May 29, 2024, 9:31 a.m.