| Card | R Documentation |
Density, distribution function, quantile function and random generation for the cardioid distribution.
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, ...)
x, q |
vector of quantiles. |
p |
vector of probabilities. |
n |
number of observations.
Same as in |
mu, rho |
See |
tolerance, maxits, ... |
The first two are control parameters for the algorithm used
to solve for the roots of a nonlinear system of equations;
|
log |
Logical.
If |
lower.tail, log.p |
Same meaning as in |
See cardioid, the VGAM family function
for estimating the two parameters by maximum likelihood
estimation, for the formula of the probability density
function and other details.
dcard gives the density,
pcard gives the distribution function,
qcard gives the quantile function, and
rcard generates random deviates.
Convergence problems might occur with rcard.
Thomas W. Yee and Kai Huang
cardioid.
## Not run:
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),
ylab = paste("[dp]card(mu=", mu, ", rho=", rho, ")"),
main = "Blue is density, orange is the CDF", col = "blue",
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
## End(Not run)
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