Description Usage Arguments Details Value See Also Examples
Density, distribution function, quantile function, and random generation for the 2-parameter
exponential distribution with rate equal to rate
and shift equal to shift
.
1 2 3 4 |
x,q |
Vector of quantiles. |
p |
Vector of probabilities. |
n |
The number of observations. If |
rate |
Vector of rates. |
shift |
Vector of shifts. |
log,log.p |
Logical vectors. If |
lower.tail |
Logical vector. If |
If rate
or shift
are not specified, then they assume the default values of 1 and 0, respectively.
The 2-parameter exponential distribution has density
f(x) = exp(-(x-μ)/β)/β,
where x≥μ, μ is the shift parameter, and β>0 is the scale parameter.
d2exp
gives the density, p2exp
gives the distribution function, q2exp
gives the quantile
function, and r2exp
generates random deviates.
runif
and .Random.seed
about random number generation.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ## Randomly generated data from the 2-parameter exponential
## distribution.
set.seed(100)
x <- r2exp(n = 500, rate = 3, shift = -10)
hist(x, main = "Randomly Generated Data", prob = TRUE)
x.1 = sort(x)
y <- d2exp(x = x.1, rate = 3, shift = -10)
lines(x.1, y, col = 2, lwd = 2)
plot(x.1, p2exp(q = x.1, rate = 3, shift = -10), type = "l",
xlab = "x", ylab = "Cumulative Probabilities")
q2exp(p = 0.20, rate = 3, shift = -10, lower.tail = FALSE)
q2exp(p = 0.80, rate = 3, shift = -10)
|
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