tWeibull {ReIns} | R Documentation |
The truncated Weibull distribution
Description
Density, distribution function, quantile function and random generation for the truncated Weibull distribution.
Usage
dtweibull(x, shape, scale = 1, endpoint = Inf, log = FALSE)
ptweibull(x, shape, scale = 1, endpoint = Inf, lower.tail = TRUE, log.p = FALSE)
qtweibull(p, shape, scale = 1, endpoint = Inf, lower.tail = TRUE, log.p = FALSE)
rtweibull(n, shape, scale = 1, endpoint = Inf)
Arguments
x |
Vector of quantiles. |
p |
Vector of probabilities. |
n |
Number of observations. |
shape |
The shape parameter of the Weibull distribution, a strictly positive number. |
scale |
The scale parameter of the Weibull distribution, a strictly positive number, default is 1. |
endpoint |
Endpoint of the truncated Weibull 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 Weibull distribution is equal to
for
where
is the CDF of the ordinary Weibull distribution and
is the endpoint (truncation point) of the truncated Weibull distribution.
Value
dtweibull
gives the density function evaluated in ,
ptweibull
the CDF evaluated in and
qtweibull
the quantile function evaluated in . The length of the result is equal to the length of
or
.
rtweibull
returns a random sample of length .
Author(s)
Tom Reynkens.
See Also
Examples
# Plot of the PDF
x <- seq(0, 10, 0.01)
plot(x, dtweibull(x, shape=2, scale=0.5, endpoint=1), xlab="x", ylab="PDF", type="l")
# Plot of the CDF
x <- seq(0, 10, 0.01)
plot(x, ptweibull(x, shape=2, scale=0.5, endpoint=1), xlab="x", ylab="CDF", type="l")