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

## Description

Constructs coverage plots for binomial confidence intervals.

## Usage

 ```1 2 3 4``` ```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, ...) ```

## Arguments

 `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`.

## Details

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.

## Value

An object of class `trellis`.

## Author(s)

Sundar Dorai-Raj ([email protected])

`binom.confint`, `binom.optim`, `xyplot`, `levelplot`

## Examples

 ```1 2``` ```binom.plot(5, type = "levelplot") binom.plot(c(3, 5, 10, 25), type = "xyplot") ```

### Example output  ```Loading required package: lattice
```

binom documentation built on May 29, 2017, 2:26 p.m.