# confIntProp

##### Confidence intervals for proportions, vectorized over all arguments

This function simply computes confidence intervals for proportions.

##### Usage

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

##### Arguments

- 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.

##### Details

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'.

##### Value

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

##### See Also

`binom.test`

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

##### Examples

```
# NOT RUN {
### Simple case
confIntProp(84, 200);
### Using vectors
confIntProp(c(2,3), c(10, 20), conf.level=c(.90, .95, .99));
# }
```

*Documentation reproduced from package userfriendlyscience, version 0.7.2, License: GPL (>= 3)*