The Student t Distribution

Description

Density, distribution function, quantile function and random generation for the t distribution with df degrees of freedom, using mean and sd instead of a t-statistic. These are wrappers for stats::dt, etc.

Usage

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dt2(x, mean, sd, df)
pt2(x, mean, sd, df, lower.tail=TRUE, log.p=FALSE)
qt2(p, mean, sd, df, lower.tail=TRUE, log.p=FALSE)
rt2(n, mean, sd, df)

Arguments

x

vector of parameter values

mean

mean of the t-distribution

sd

standard deviation of the t-distribution

df

degrees of freedom

lower.tail

logical; if TRUE (default), cumulative probabilities up to x, otherwise, above x.

log.p

logical; if TRUE, probabilities p are given as log(p).

p

probability.

n

number of random draws required.

Value

dt gives the density, pt gives the cumulative probability, qt gives the quantile function, and rt generates random deviates.

Author(s)

Mike Meredith

See Also

See the stats functions dt, pt, qt, rt.

Examples

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## to do

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