Density, distribution, quantile function and random number generation for the student distribution parameterized in terms of mean, standard deviation and shape parameters.
dstd(x, mu =0, sigma =1, shape =5, log =FALSE)pstd(q, mu =0, sigma =1, shape =5, lower_tail =TRUE, log =FALSE)qstd(p, mu =0, sigma =1, shape =5, lower_tail =TRUE, log =FALSE)rstd(n, mu =0, sigma =1, shape =5)
Arguments
x, q: vector of quantiles.
mu: mean.
sigma: standard deviation.
shape: shape 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.