binom.conf.int {epitools} R Documentation

## Confidence intervals for binomial counts or proportions

### Description

Calculates confidence intervals for binomial counts or proportions

### Usage

binom.exact(x, n, conf.level = 0.95)
binom.wilson(x, n, conf.level = 0.95)
binom.approx(x, n, conf.level = 0.95)


### Arguments

 x number of successes in n trials, can be a vector n number of Bernoulli trials, can be a vector conf.level confidence level (default = 0.95), can be a vector

### Details

The function, binom.exact, calculates exact confidence intervals for binomial counts or proportions. This function uses R's binom.test function; however, the arguments to this function can be numeric vectors of any length.

The function, binom.wilson, calculates confidence intervals for binomial counts or proportions using Wilson's formula which approximate the exact method. The arguments to this function can be numeric vectors of any length (Rothman).

The function, binom.approx, calculates confidence intervals for binomial counts or proportions using a normal approximation to the binomial distribution. The arguments to this function can be numeric vectors of any length.

### Value

This function returns a n x 6 matrix with the following colnames:

 x number of successes in n trials n number of Bernoulli trials prop proportion = x/n lower lower confidence interval limit upper upper confidence interval limit conf.level confidence level

### Author(s)

Tomas Aragon, aragon@berkeley.edu, http://www.phdata.science

### References

Tomas Aragon, et al. Applied Epidemiology Using R. Available at http://www.phdata.science

Kenneth Rothman (2002), Epidemiology: An Introduction, Oxford University Press, 1st Edition.

pois.exact, binom.test
binom.exact(1:10, seq(10, 100, 10))