TDist {wiqid} | R Documentation |
The Generalized Student's t Distribution
Description
Density, distribution function, quantile function and random generation for the generalised t distribution with df degrees of freedom, using location and scale, or mean and sd. These are wrappers for stats::dt
, etc.
Note: In earlier versions of wiqid
the scale
argument to *t2
functions was incorrectly named sd
; they are not the same. These function now give a warning with the correct value of the sd
. New *t3
functions do use sd
which is only defined for df > 2
.
Usage
dt2(x, location, scale, df)
pt2(x, location, scale, df, lower.tail=TRUE, log.p=FALSE)
qt2(p, location, scale, df, lower.tail=TRUE, log.p=FALSE)
rt2(n, location, scale, df)
dt3(x, mean, sd, df)
pt3(x, mean, sd, df, lower.tail=TRUE, log.p=FALSE)
qt3(p, mean, sd, df, lower.tail=TRUE, log.p=FALSE)
rt3(n, mean, sd, df)
Arguments
x |
vector of parameter values |
location |
location of the t-distribution |
mean |
mean of the t-distribution |
scale |
scale parameter of the t-distribution |
sd |
standard deviation of the t-distribution, only defined for |
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
dtx
gives the density, ptx
gives the cumulative probability, qtx
gives the quantile function, and rtx
generates random deviates.
Author(s)
Mike Meredith
See Also
See the stats functions dt
, pt
, qt
, rt
.
Examples
## Plot the t-distribution with varying sd and scale
require(graphics)
xx <- seq(-5, 15, length=201)
density <- dt3(xx, mean=5, sd=1, 4)
plot(xx, density, type='l', lwd=2, main="t-distribution with df = 4")
lines(xx, dt3(xx, 5, 2, 4), lwd=2, col=2)
lines(xx, dt3(xx, 5, 3, 4), lwd=2, col=3)
lines(xx, dt3(xx, 5, 4, 4), lwd=2, col=4)
legend('topleft', paste0("sd = ", 1:4), lwd=2, lty=1, col=1:4,
bty='n')
lines(xx, dt2(xx, 5, 1, 4), lwd=2, lty=2, col=1)
lines(xx, dt2(xx, 5, 2, 4), lwd=2, lty=2, col=2)
lines(xx, dt2(xx, 5, 3, 4), lwd=2, lty=2, col=3)
lines(xx, dt2(xx, 5, 4, 4), lwd=2, lty=2, col=4)
legend('topright', paste0("scale = ", 1:4), lwd=2, lty=2, col=1:4,
bty='n')
# Generate random numbers
rand2 <- rt2(1e6, location=5, scale=2, df=4)
mean(rand2)
sd(rand2) # about 2.83
rand3 <- rt3(1e6, mean=5, sd=2, df=4)
mean(rand3)
sd(rand3) # close to 2
# check pt* and qt*
prob <- pt2(x=7, location=5, scale=3, df=4)
qt2(p=prob, location=5, scale=3, df=4)