location
and scale parameter scale
.dlaplace(x, location=0, scale=1, log=FALSE)
plaplace(q, location=0, scale=1)
qlaplace(p, location=0, scale=1)
rlaplace(n, location=0, scale=1)
log=TRUE
then the logarithm of the density is returned.dlaplace
gives the density,
plaplace
gives the distribution function,
qlaplace
gives the quantile function, and
rlaplace
generates random deviates. See laplace
, the n
, all the above arguments may be vectors and
are recyled to the appropriate length if necessary.
laplace
.loc = 1; b = 2
y = rlaplace(n=100, loc=loc, scale=b)
mean(y)
loc # population mean
var(y)
2 * b^2 # population variance
loc = 0; b = 1.5; x = seq(-5, 5, by=0.01)
plot(x, dlaplace(x, loc, b), type="l", col="blue", ylim=c(0,1),
main="Blue is density, red is cumulative distribution function",
sub="Purple are 5,10,...,95 percentiles", las=1, ylab="")
abline(h=0, col="blue", lty=2)
lines(qlaplace(seq(0.05,0.95,by=0.05), loc, b),
dlaplace(qlaplace(seq(0.05,0.95,by=0.05), loc, b), loc, b),
col="purple", lty=3, type="h")
lines(x, plaplace(x, loc, b), type="l", col="red")
abline(h=0, lty=2)
plaplace(qlaplace(seq(0.05,0.95,by=0.05), loc, b), loc, b)
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