| tExp | R Documentation |
Density, distribution function, quantile function and random generation for the truncated exponential distribution.
dtexp(x, rate = 1, endpoint = Inf, log = FALSE)
ptexp(x, rate = 1, endpoint = Inf, lower.tail = TRUE, log.p = FALSE)
qtexp(p, rate = 1, endpoint = Inf, lower.tail = TRUE, log.p = FALSE)
rtexp(n, rate = 1, endpoint = Inf)
x |
Vector of quantiles. |
p |
Vector of probabilities. |
n |
Number of observations. |
rate |
The rate parameter for the exponential distribution, default is 1. |
endpoint |
Endpoint of the truncated exponential 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 exponential distribution is equal to
F_T(x) = F(x) / F(T) for x \le T where F is the CDF of the ordinary exponential distribution and T is the endpoint (truncation point) of the truncated exponential distribution.
dtexp gives the density function evaluated in x, ptexp the CDF evaluated in x and qtexp the quantile function evaluated in p. The length of the result is equal to the length of x or p.
rtexp returns a random sample of length n.
Tom Reynkens.
Exponential, Distributions
# Plot of the PDF
x <- seq(0, 10, 0.01)
plot(x, dtexp(x, rate = 2, endpoint=5), xlab="x", ylab="PDF", type="l")
# Plot of the CDF
x <- seq(0, 10, 0.01)
plot(x, ptexp(x, rate = 2, endpoint=5), xlab="x", ylab="CDF", type="l")
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