# nLogOdds: Calculate simple random sample size for estimating a... In PracTools: Tools for Designing and Weighting Survey Samples

## Description

Calculate the simple random sample size for estimating a proportion using the log-odds transformation.

## Usage

 `1` ``` nLogOdds(moe.sw, e, alpha=0.05, pU, N=Inf) ```

## Arguments

 `moe.sw` switch for setting desired margin of error (1 = CI half-width on the proportion; 2 = CI half-width on a proportion divided by `pU`) `e` desired margin of error `alpha` 1 - (confidence level) `pU` population proportion `N` number of units in finite population

## Details

The function accepts five parameters, which are the same ones as accepted by `nPropMoe`. The desired margin of error can be specified as the CI half-width on the proportion (`moe.sw=1`) or as the CI half-width as a proportion of the population value `pU` (`moe.sw=2`).

## Value

numeric sample size

## Author(s)

Richard Valliant, Jill A. Dever, Frauke Kreuter

## References

Valliant, R., Dever, J., Kreuter, F. (2013, chap. 3). Practical Tools for Designing and Weighting Survey Samples. New York: Springer.

`nProp`, `nPropMoe`, `nWilson`, `nCont`
 ```1 2``` ```nLogOdds(moe.sw=1, e=0.05, alpha=0.05, pU=0.2, N=Inf) nLogOdds(moe.sw=2, e=0.05, alpha=0.05, pU=0.2, N=Inf) ```