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

This function simply computes confidence intervals for proportions.

1 | ```
confIntProp(x, n, conf.level = 0.95)
``` |

`x` |
The number of 'successes', i.e. the number of events, observations, or cases that one is interested in. |

`n` |
The total number of cases or observatons. |

`conf.level` |
The confidence level. |

This function is the adapted source code of `binom.test`

. Ir uses `pbeta`

, with some lines of code taken from the `binom.test`

source. Specifically, the count for the low category is specified as first 'shape argument' to `pbeta`

, and the total count (either the sum of the count for the low category and the count for the high category, or the total number of cases if `compareHiToLo`

is `FALSE`

) minus the count for the low category as the second 'shape argument'.

The confidence interval bounds in a twodimensional matrix, with the first column containing the lower bound and the second column containing the upper bound.

Unknown (see `binom.test`

; adapted by Gjalt-Jorn Peters)

Maintainer: Gjalt-Jorn Peters <[email protected]>

`binom.test`

and `ggProportionPlot, the function for which this was written.`

1 2 3 4 5 | ```
### Simple case
confIntProp(84, 200);
### Using vectors
confIntProp(c(2,3), c(10, 20), conf.level=c(.90, .95, .99));
``` |

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