tFrechet {ReIns} | R Documentation |
The truncated Frechet distribution
Description
Density, distribution function, quantile function and random generation for the truncated Fréchet distribution.
Usage
dtfrechet(x, shape, loc = 0, scale = 1, endpoint = Inf, log = FALSE)
ptfrechet(x, shape, loc = 0, scale = 1, endpoint = Inf, lower.tail = TRUE, log.p = FALSE)
qtfrechet(p, shape, loc = 0, scale = 1, endpoint = Inf, lower.tail = TRUE, log.p = FALSE)
rtfrechet(n, shape, loc = 0, scale = 1, endpoint = Inf)
Arguments
x |
Vector of quantiles. |
p |
Vector of probabilities. |
n |
Number of observations. |
shape |
Shape parameter of the Fréchet distribution. |
loc |
Location parameter of the Fréchet distribution, default is 0. |
scale |
Scale parameter of the Fréchet distribution, default is 1. |
endpoint |
Endpoint of the truncated Fréchet distribution. The default value is |
log |
Logical indicating if the densities are given as |
lower.tail |
Logical indicating if the probabilities are of the form |
log.p |
Logical indicating if the probabilities are given as |
Details
The Cumulative Distribution Function (CDF) of the truncated Fréchet distribution is equal to
F_T(x) = F(x) / F(T)
for x \le T
where F
is the CDF of an ordinary Fréchet distribution and T
is the endpoint (truncation point) of the truncated Fréchet distribution.
Value
dtfrechet
gives the density function evaluated in x
, ptfrechet
the CDF evaluated in x
and qtfrechet
the quantile function evaluated in p
. The length of the result is equal to the length of x
or p
.
rtfrechet
returns a random sample of length n
.
Author(s)
Tom Reynkens.
See Also
Examples
# Plot of the PDF
x <- seq(1, 10, 0.01)
plot(x, dtfrechet(x, shape=2, endpoint=5), xlab="x", ylab="PDF", type="l")
# Plot of the CDF
x <- seq(1, 10, 0.01)
plot(x, ptfrechet(x, shape=2, endpoint=5), xlab="x", ylab="CDF", type="l")