Density, distribution, quantile function and random number generation for the skewed normal distribution parameterized in terms of mean, standard deviation and skew parameters.
dsnorm(x, mu =0, sigma =1, skew =1.5, log =FALSE)psnorm(q, mu =0, sigma =1, skew =1.5, lower_tail =TRUE, log =FALSE)qsnorm(p, mu =0, sigma =1, skew =1.5, lower_tail =TRUE, log =FALSE)rsnorm(n, mu =0, sigma =1, skew =1.5)
Arguments
x, q: vector of quantiles.
mu: mean.
sigma: standard deviation.
skew: skew parameter.
log: (logical) if TRUE, probabilities p are given as log(p).
lower_tail: if TRUE (default), probabilities are P[X≤x] otherwise, P[X>x].
p: vector of probabilities.
n: Number of observations.
Returns
d gives the density, p gives the distribution function, q gives the quantile function and r generates random deviates. Output depends on x or q length, or n for the random number generator.