Description Usage Arguments Details Value Examples
Density, distribution function, quantile function,
random generation and hazard function for the log-weibull distribution with
parameters a
and b
.
1 2 3 4 5 6 7 8 9 |
x,q |
vector of quantiles. |
a |
parameter one. |
b |
parameter two. |
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]. |
p |
vector of probabilities. |
n |
number of observations. |
The log-weibull distribution with parameters a
and
b
has density given by
f(x)= (1/b)*exp((x-a)/b)*exp(-exp((x-a)/b))
for -Inf < x < Inf.
dLW
gives the density, pLW
gives the distribution
function, qLW
gives the quantile function, rLW
generates random deviates and hLW
gives the hazard function.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ## The probability density function
curve(dLW(x, a = 0, b = 1), from = -20, to = 10, ylim = c(0, 0.4), col = "red", las = 1, ylab = "The probability density function")
## The cumulative distribution and the Reliability function
par(mfrow = c(1, 2))
curve(pLW(x, a = 0, b = 1), from = 0, to = 10, ylim = c(0, 1), col = "red", las = 1, ylab = "The cumulative distribution function")
curve(pLW(x, a = 0, b = 1, lower.tail = FALSE), from = 0, to = 10, ylim = c(0, 1), col = "red", las = 1, ylab = "The Reliability function")
## The quantile function
p <- seq(from = 0, to = 0.998, length.out = 100)
plot(x=qLW(p, a = 0, b = 1), y = p, xlab = "Quantile", las = 1, ylab = "Probability")
curve(pLW(x, a = 0, b = 1), from = -6, add = TRUE, col = "red")
## The random function
hist(rLW(10000, a = 0, b = 1), freq = FALSE, ylim = c(0, 0.4), xlab = "x", las = 1, main = "")
curve(dLW(x, a = 0, b = 1), from = -20, to = 10, ylim = c(0, 0.4), add = TRUE, col = "red")
## The Hazard function
curve(hLW(x, a = 0, b = 1), from = -20, to = 0, ylim = c(0, 0.3), col = "red", ylab = "The hazard function", las = 1)
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