Last chance! 50% off unlimited learning
Sale ends in
location
, scale parameter scale
,
and asymmetry parameter kappa
.dalap(x, location=0, scale=1, tau=0.5, kappa=sqrt(tau/(1-tau)),
log=FALSE)
palap(q, location=0, scale=1, tau=0.5, kappa=sqrt(tau/(1-tau)))
qalap(p, location=0, scale=1, tau=0.5, kappa=sqrt(tau/(1-tau)))
ralap(n, location=0, scale=1, tau=0.5, kappa=sqrt(tau/(1-tau)))
length(n) > 1
then the length is taken to be the number required.kappa
and is ignored
if kappa
is assigned.TRUE
, probabilities p
are given as log(p)
.dalap
gives the density,
palap
gives the distribution function,
qalap
gives the quantile function, and
ralap
generates random deviates.alaplace3
, the alaplace3
.x = seq(-5, 5, by=0.01)
loc = 0; sigma = 1.5; kappa = 2
plot(x, dalap(x, loc, sigma, kappa=kappa), type="l", col="blue",
main="Blue is density, red is cumulative distribution function",
ylim=c(0,1), sub="Purple are 5,10,...,95 percentiles",
las=1, ylab="", cex.main=0.5)
abline(h=0, col="blue", lty=2)
lines(qalap(seq(0.05,0.95,by=0.05), loc, sigma, kappa=kappa),
dalap(qalap(seq(0.05,0.95,by=0.05), loc, sigma, kappa=kappa),
loc, sigma, kappa=kappa), col="purple", lty=3, type="h")
lines(x, palap(x, loc, sigma, kappa=kappa), type="l", col="red")
abline(h=0, lty=2)
palap(qalap(seq(0.05,0.95,by=0.05), loc, sigma, kappa=kappa),
loc, sigma, kappa=kappa)
Run the code above in your browser using DataLab