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VGAM (version 0.7-5)

Nakagami: Nakagami Distribution

Description

Density, cumulative distribution function, quantile function and random generation for the Nakagami distribution.

Usage

dnaka(x, shape, scale=1)
pnaka(q, shape, scale=1)
qnaka(p, shape, scale=1, ...)
rnaka(n, shape, scale=1, Smallno=1.0e-6)

Arguments

Value

  • dnaka gives the density, pnaka gives the cumulative distribution function, qnaka gives the quantile function, and rnaka generates random deviates.

Details

See nakagami for more details.

See Also

nakagami.

Examples

Run this code
x = seq(0, 3.2, len=200)
plot(x, dgamma(x, shape=1), type="n", col="black", ylab="",
     ylim=c(0,1.5), main="dnaka(x, shape)")
lines(x, dnaka(x, shape=1), col="red")
lines(x, dnaka(x, shape=2), col="blue")
lines(x, dnaka(x, shape=3), col="green")
legend(2, 1.0, col=c("red","blue","green"), lty=rep(1, len=3),
       legend=paste("shape =", c(1, 2, 3)))

plot(x, pnorm(x), type="n", col="black", ylab="",
     ylim=0:1, main="pnaka(x, shape)")
lines(x, pnaka(x, shape=1), col="red")
lines(x, pnaka(x, shape=2), col="blue")
lines(x, pnaka(x, shape=3), col="green")
legend(2, 0.6, col=c("red","blue","green"), lty=rep(1, len=3),
       legend=paste("shape =", c(1, 2, 3)))

probs = seq(0.1, 0.9, by=0.1)
pnaka(qnaka(p=probs, shape=2), shape=2) - probs  # Should be all 0

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