dcard(x, mu, rho, log = FALSE)
pcard(q, mu, rho, lower.tail = TRUE, log.p = FALSE)
qcard(p, mu, rho, tolerance = 1e-07, maxits = 500,
lower.tail = TRUE, log.p = FALSE)
rcard(n, mu, rho, ...)
runif
.cardioid
for more information.tolerance
controls for the accuracy and
maxits
is the maximum number of iterations.
rcard
log = TRUE
then the logarithm of the density is returned.dcard
gives the density,
pcard
gives the distribution function,
qcard
gives the quantile function, and
rcard
generates random deviates.cardioid
, the cardioid
.mu <- 4; rho <- 0.4; x <- seq(0, 2*pi, len = 501)
plot(x, dcard(x, mu, rho), type = "l", las = 1, ylim = c(0, 1), col = "blue",
ylab = paste("[dp]card(mu=", mu, ", rho=", rho, ")"),
main = "Blue is density, orange is cumulative distribution function",
sub = "Purple lines are the 10,20,...,90 percentiles")
lines(x, pcard(x, mu, rho), col = "orange")
probs <- seq(0.1, 0.9, by = 0.1)
Q <- qcard(probs, mu, rho)
lines(Q, dcard(Q, mu, rho), col = "purple", lty = 3, type = "h")
lines(Q, pcard(Q, mu, rho), col = "purple", lty = 3, type = "h")
abline(h = c(0,probs, 1), v = c(0, 2*pi), col = "purple", lty = 3)
max(abs(pcard(Q, mu, rho) - probs)) # Should be 0
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