Density, distribution function, quantile function and random generation for the truncated Fréchet distribution.
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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 Inf for which the truncated Fréchet distribution corresponds to the ordinary Fréchet distribution.
log: Logical indicating if the densities are given as log(f), default is FALSE.
lower.tail: Logical indicating if the probabilities are of the form P(X≤x) (TRUE) or P(X>x) (FALSE). Default is TRUE.
log.p: Logical indicating if the probabilities are given as log(p), default is FALSE.
Details
The Cumulative Distribution Function (CDF) of the truncated Fréchet distribution is equal to FT(x)=F(x)/F(T) for x≤T where F is the CDF of an ordinary Fréchet distribution and T is the endpoint (truncation point) of the truncated Fréchet distribution.
Returns
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
Fréchet, Distributions
Examples
# Plot of the PDFx <- seq(1,10,0.01)plot(x, dtfrechet(x, shape=2, endpoint=5), xlab="x", ylab="PDF", type="l")# Plot of the CDFx <- seq(1,10,0.01)plot(x, ptfrechet(x, shape=2, endpoint=5), xlab="x", ylab="CDF", type="l")