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dsnorm(x, location = 0, scale = 1, shape = 0)rsnorm(n, location = 0, scale = 1, shape = 0)
skewnormal1
.dsnorm
gives the density, rsnorm
generates random deviates.skewnormal1
, which currently only estimates the shape
parameter.
More generally here, $Z = \xi + \omega Y$ where
$Y$ has a standard skew-normal distribution (see skewnormal1
),
$\xi$ is the location parameter and
$\omega$ is the scale parameter.skewnormal1
.n = 200 # grid resolution
shape = 7
x = seq(-4, 4, len=n)
plot(x, dsnorm(x, shape=shape), type="l", col="blue", las=1, ylab="")
abline(v=0, h=0, lty="dashed", col="darkgreen")
lines(x, dnorm(x), col="red")
legend(-3.5, 0.6, leg=c(paste("Blue=dsnorm(x, ", shape,")", sep=""),
"standard normal density"), lty=1, col=c("blue","red"))
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