dexp(x, rate = 1) pexp(q, rate = 1) qexp(p, rate = 1) rexp(n, rate = 1)
x q
| vector of quantiles |
p
| vector of probabilities |
n
| number of observations to generate |
rate
| vector of rates |
rate
(i.e., mean 1/rate
).
dexp
gives the density,
pexp
gives the distribution function,
qexp
gives the quantile function
and
rexp
generates random deviates.
The exponential distribution with rate &lambda has density
f(x) = lambda e^(- lambda x)
for x >= 0.exp
, dchisq
for the chisquare and
dweibull
for the Weibull distribution which both
generalize the exponential.
dexp(1) - exp(-1) #-> 0 r <- rexp(100) all(abs(1 - dexp(1, r) / (r*exp(-r))) < 1e-14)