# Example 1
# Plotting the mass function for different parameter values
curve(dExWALD(x, mu=0.15, sigma=52.5, nu=50), ylim=c(0, 0.005),
from=0, to=1200, col="cadetblue3", las=1, ylab="f(x)")
curve(dExWALD(x, mu=0.20, sigma=70, nu=50),
add=TRUE, col= "purple")
curve(dExWALD(x, mu=0.25, sigma=87.5, nu=50),
add=TRUE, col="goldenrod")
curve(dExWALD(x, mu=0.20, sigma=70, nu=115),
add=TRUE, col="tomato")
curve(dExWALD(x, mu=0.20, sigma=70, nu=35),
add=TRUE, col="blue")
legend("topright", col=c("cadetblue3", "purple", "goldenrod",
"tomato", "blue"),
lty=1, bty="n",
legend=c("mu=0.15, sigma=52.5, nu=50",
"mu=0.20, sigma=70.0, nu=50",
"mu=0.25, sigma=87.5, nu=50",
"mu=0.20, sigma=70.0, nu=115",
"mu=0.20, sigma=70.0, nu=35"))
# Example 2
# Checking if the cumulative curves converge to 1
curve(pExWALD(x, mu=0.15, sigma=52.5, nu=50), ylim=c(0, 1),
from=0, to=1200, col="cadetblue3", las=1, ylab="F(x)")
curve(pExWALD(x, mu=0.20, sigma=70, nu=50),
add=TRUE, col= "purple")
curve(pExWALD(x, mu=0.25, sigma=87.5, nu=50),
add=TRUE, col="goldenrod")
curve(pExWALD(x, mu=0.20, sigma=70, nu=115),
add=TRUE, col="tomato")
curve(pExWALD(x, mu=0.20, sigma=70, nu=35),
add=TRUE, col="blue")
legend("bottomright", col=c("cadetblue3", "purple", "goldenrod",
"tomato", "blue"),
lty=1, bty="n",
legend=c("mu=0.15, sigma=52.5, nu=50",
"mu=0.20, sigma=70.0, nu=50",
"mu=0.25, sigma=87.5, nu=50",
"mu=0.20, sigma=70.0, nu=115",
"mu=0.20, sigma=70.0, nu=35"))
# Example 3
# Checking the quantile function
mu <- 5
sigma <- 3
nu <- 2
p <- seq(from=0.1, to=0.99, length.out=100)
plot(x=qExWALD(p, mu=mu, sigma=sigma, nu=nu), y=p, xlab="Quantile",
las=1, ylab="Probability")
curve(pExWALD(x, mu=mu, sigma=sigma, nu=nu), from=0, add=TRUE, col="red")
# Example 4
# Comparing the random generator output with
# the theoretical probabilities
mu <- 0.2
sigma <- 70
nu <- 35
x <- rExWALD(n=10000, mu=mu, sigma=sigma, nu=nu)
hist(x, freq=FALSE)
curve(dExWALD(x, mu=mu, sigma=sigma, nu=nu), col="tomato", add=TRUE)
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