binom.plot: Coverage plots for binomial confidence intervals
In binom: Binomial Confidence Intervals For Several Parameterizations

Description Usage Arguments Details Value Author(s) See Also Examples

Constructs coverage plots for binomial confidence intervals.

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, ...)

`n`	The number of independent trials in the binomial experiment.
`conf.level`	The level of confidence to be used in the confidence interval.
`np`	Number of points to use in the plot.
`method`	The method used to estimate the confidence interval.
`actual`	The actual confidence interval used in the confidence interval. See Details.
`type`	See Details.
`tol`	The minimum probability of success to use in the plot.
`...`	Additional arguments to pass to `panel.xyplot` or `panel.levelplot`.

If 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.

An object of class trellis.

Sundar Dorai-Raj (sdorairaj@gmail.com)

binom.confint, binom.optim, xyplot, levelplot