nLogOdds | R Documentation |

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

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

`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 |

`e` |
desired margin of error |

`alpha` |
1 - (confidence level) |

`pU` |
population proportion |

`N` |
number of units in finite population |

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`

).

numeric sample size

Richard Valliant, Jill A. Dever, Frauke Kreuter

Valliant, R., Dever, J., Kreuter, F. (2018, chap. 3). *Practical Tools for Designing and Weighting Survey Samples, 2nd edition*. New York: Springer.

`nProp`

, `nPropMoe`

, `nWilson`

, `nCont`

```
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)
```

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