| tFrechet | R Documentation | 
Density, distribution function, quantile function and random generation for the truncated Fréchet distribution.
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)
| 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  | 
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.
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.
Tom Reynkens.
Fréchet,  Distributions
# 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")
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