binom.plot(n, method = binom.lrt, np = 500,
conf.level = 0.95, actual = conf.level,
type = c("xyplot", "levelplot"),
tol = .Machine$double.eps^0.5, ...)
panel.xyplot
or panel.levelplot
.trellis
.type
is "xyplot"
, a line plot is created with
coverage on the y-axis and binomial probability on the x-axis.
A separate panel for every n
is provided. If actual
is
provided then a horizontal reference line is added to the plot. This
is only useful when actual
is different from conf.level
,
as is the case when calling binom.optim
. If type
is "levelplot"
, a image plot is created with
x
= 0
to n
on the vertical axis and binomial
probability on the horizontal axis. Each row in the plot will be the
confidence level for a given x
. The color of the confidence
interval is determined by the coverage probability. The argument
n
must only be of length one. If not, only the first n
will be used and a warning is issued.
In either plot type, the number of points at which the coverage
probability is determined is specified by np
. Increasing
np
gives a finer granularity but performance will suffer.
binom.confint
, binom.optim
,
xyplot
, levelplot
binom.plot(5, type = "levelplot")
binom.plot(c(3, 5, 10, 25), type = "xyplot")
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