studentt: The Student-t Distribution (Location-Scale)

studenttR Documentation

The Student-t Distribution (Location-Scale)

Description

These are density, distribution function, quantile function and random generation for the Student-t distribution with location mu, scale sigma, and degrees of freedom df. Base R gives you the so-called "standard" Student-t distribution, with just the varying degrees of freedom. This generalizes that standard Student-t to the three-parameter version.

Usage

dst(x, df, mu, sigma)

pst(q, df, mu, sigma)

qst(p, df, mu, sigma)

rst(n, df, mu, sigma)

Arguments

x, q

a vector of quantiles

df

a vector of degrees of freedom

mu

a vector for the location value

sigma

a vector of scale values

p

Vector of probabilities.

n

Number of samples to draw from the distribution.

Details

This is a simple hack taken from Wikipedia. It's an itch I've been wanting to scratch for a while. I can probably generalize this outward to allow the tail and log stuff, but I wrote this mostly for the random number generation. Right now, I haven't written this to account for the fact that sigma should be non-negative, but that's on the user to know that (for now).

Value

dst() returns the density. pst() returns the distribution function. qst() returns the quantile function. rst() returns random numbers.

See Also

TDist


stevemisc documentation built on April 12, 2022, 5:06 p.m.