expgeom | R Documentation |
Density, distribution function, quantile function and random generation for the exponential geometric distribution.
dexpgeom(x, scale = 1, shape, log = FALSE)
pexpgeom(q, scale = 1, shape)
qexpgeom(p, scale = 1, shape)
rexpgeom(n, scale = 1, shape)
x , q |
vector of quantiles. |
p |
vector of probabilities. |
n |
number of observations.
If |
scale , shape |
positive scale and shape parameters. |
log |
Logical.
If |
See expgeometric
, the VGAM family function
for estimating the parameters,
for the formula of the probability density function and other details.
dexpgeom
gives the density,
pexpgeom
gives the distribution function,
qexpgeom
gives the quantile function, and
rexpgeom
generates random deviates.
We define scale
as the reciprocal of the scale parameter
used by Adamidis and Loukas (1998).
J. G. Lauder and T. W. Yee
expgeometric
,
exponential
,
geometric
.
## Not run:
shape <- 0.5; scale <- 1; nn <- 501
x <- seq(-0.10, 3.0, len = nn)
plot(x, dexpgeom(x, scale, shape), type = "l", las = 1, ylim = c(0, 2),
ylab = paste("[dp]expgeom(shape = ", shape, ", scale = ", scale, ")"),
col = "blue", cex.main = 0.8,
main = "Blue is density, red is cumulative distribution function",
sub = "Purple lines are the 10,20,...,90 percentiles")
lines(x, pexpgeom(x, scale, shape), col = "red")
probs <- seq(0.1, 0.9, by = 0.1)
Q <- qexpgeom(probs, scale, shape)
lines(Q, dexpgeom(Q, scale, shape), col = "purple", lty = 3, type = "h")
lines(Q, pexpgeom(Q, scale, shape), col = "purple", lty = 3, type = "h")
abline(h = probs, col = "purple", lty = 3)
max(abs(pexpgeom(Q, scale, shape) - probs)) # Should be 0
## End(Not run)
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