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rate
(i.e., mean 1/rate
).dexp(x, rate = 1, log = FALSE)
pexp(q, rate = 1, lower.tail = TRUE, log.p = FALSE)
qexp(p, rate = 1, lower.tail = TRUE, log.p = FALSE)
rexp(n, rate = 1)
length(n) > 1
, the length
is taken to be the number required.dexp
gives the density,
pexp
gives the distribution function,
qexp
gives the quantile function, and
rexp
generates random deviates. The length of the result is determined by n
for
rexp
, and is the maximum of the lengths of the
numerical arguments for the other functions. The numerical arguments other than n
are recycled to the
length of the result. Only the first elements of the logical
arguments are used.rate
is not specified, it assumes the default value of
1
. The exponential distribution with rate exp
for the exponential function. Distributions for other standard distributions, including
dgamma
for the gamma distribution and
dweibull
for the Weibull distribution, both of which
generalize the exponential.dexp(1) - exp(-1) #-> 0
## a fast way to generate *sorted* U[0,1] random numbers:
rsunif <- function(n) { n1 <- n+1
cE <- cumsum(rexp(n1)); cE[seq_len(n)]/cE[n1] }
plot(rsunif(1000), ylim=0:1, pch=".")
abline(0,1/(1000+1), col=adjustcolor(1, 0.5))
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