extras (version 0.7.3)

dskewnorm: Skew-Normal Distribution

Description

Skew-Normal Distribution

Usage

dskewnorm(x, mean = 0, sd = 1, shape = 0, log = FALSE)
pskewnorm(q, mean = 0, sd = 1, shape = 0)
qskewnorm(p, mean = 0, sd = 1, shape = 0)
rskewnorm(n = 1, mean = 0, sd = 1, shape = 0)

Value

dskewnorm gives the density, pskewnorm gives the distribution function, qskewnorm gives the quantile function, and rskewnorm generates random deviates. pskewnorm and qskewnorm use the lower tail probability.

Arguments

x

A numeric vector of values.

mean

A numeric vector of the means.

sd

A non-negative numeric vector of the standard deviations.

shape

A numeric vector of values.

log

A flag specifying whether to return the log-transformed value.

q

A vector of quantiles.

p

A vector of probabilities.

n

A non-negative whole number of the number of random samples to generate.

Examples

if (FALSE) { # requireNamespace("sn")
dskewnorm(x = -2:2, mean = 0, sd = 1, shape = 0.1)
dskewnorm(x = -2:2, mean = 0, sd = 1, shape = -1)
qskewnorm(p = c(0.1, 0.4), mean = 0, sd = 1, shape = 0.1)
qskewnorm(p = c(0.1, 0.4), mean = 0, sd = 1, shape = -1)
pskewnorm(q = -2:2, mean = 0, sd = 1, shape = 0.1)
pskewnorm(q = -2:2, mean = 0, sd = 1, shape = -1)
rskewnorm(n = 3, mean = 0, sd = 1, shape = 0.1)
rskewnorm(n = 3, mean = 0, sd = 1, shape = -1)
}