Description Usage Arguments Details Value Note References See Also Examples
Density, distribution function, quantile function and random
generation for the exponential distribution with mean beta
or 1/rate
).
This special Rlab implementation allows the parameter beta
to be used, to match the function description often found in textbooks.
1 2 3 4 |
x, q |
vector of quantiles. |
p |
vector of probabilities. |
n |
number of observations. If |
beta |
vector of means. |
rate |
vector of rates. |
log, log.p |
logical; if TRUE, probabilities p are given as log(p). |
lower.tail |
logical; if TRUE (default), probabilities are P[X <= x], otherwise, P[X > x]. |
If beta
(or rate
) is not specified, it assumes the
default value of 1
.
The exponential distribution with rate λ has density
f(x) = lambda e^(- lambda x)
for x ≥ 0.
dexp
gives the density,
pexp
gives the distribution function,
qexp
gives the quantile function, and
rexp
generates random deviates.
The cumulative hazard H(t) = - log(1 - F(t))
is -pexp(t, r, lower = FALSE, log = TRUE)
.
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth \& Brooks/Cole.
exp
for the exponential function,
dgamma
for the gamma distribution and
dweibull
for the Weibull distribution, both of which
generalize the exponential.
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