| dLW | R Documentation | 
Density, distribution function, quantile function, 
random generation and hazard function for the Log-Weibull distribution 
with parameters mu and sigma.
dLW(x, mu, sigma, log = FALSE) pLW(q, mu, sigma, lower.tail = TRUE, log.p = FALSE) qLW(p, mu, sigma, lower.tail = TRUE, log.p = FALSE) rLW(n, mu, sigma) hLW(x, mu, sigma)
| x, q | vector of quantiles. | 
| mu | parameter. | 
| sigma | parameter. | 
| 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 mu 
and sigma has density given by
f(y)=(1/σ) e^{((y - μ)/σ)} exp\{-e^{((y - μ)/σ)}\},
for - infty < y < infty.
dLW gives the density, pLW gives the distribution 
function, qLW gives the quantile function, rLW
generates random deviates and hLW gives the hazard function.
Amylkar Urrea Montoya, amylkar.urrea@udea.edu.co
almalki2014modificationsRelDists
\insertRefGumbel1958RelDists
old_par <- par(mfrow = c(1, 1)) # save previous graphical parameters
## The probability density function
curve(dLW(x, mu=0, sigma=1.5), from=-8, to=5,
      col="red", las=1, ylab="f(x)")
## The cumulative distribution and the Reliability function
par(mfrow=c(1, 2))
curve(pLW(x, mu=0, sigma=1.5),
      from=-8, to=5,  col="red", las=1, ylab="F(x)")
curve(pLW(x, mu=0, sigma=1.5, lower.tail=FALSE),
      from=-8, to=5, col="red", las=1, ylab="R(x)")
## The quantile function
p <- seq(from=0, to=0.99999, length.out=100)
plot(x=qLW(p, mu=0, sigma=1.5), y=p, xlab="Quantile",
     las=1, ylab="Probability")
curve(pLW(x, mu=0, sigma=1.5), from=-8, to=5, add=TRUE, col="red")
## The random function
hist(rLW(n=10000, mu=0, sigma=1.5), freq=FALSE,
     xlab="x", las=1, main="")
curve(dLW(x, mu=0, sigma=1.5), from=-15, to=6, add=TRUE, col="red")
## The Hazard function
par(mfrow=c(1,1))
curve(hLW(x, mu=0, sigma=1.5), from=-8, to=7,
      col="red", ylab="Hazard function", las=1)
par(old_par) # restore previous graphical parameters
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