nLogOdds

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

methods

survey

Functions and datasets to support Valliant, Dever, and Kreuter (2018), <doi:10.1007/978-3-319-93632-1>, "Practical Tools for Designing and Weighting Survey Samples". Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs, and single-stage audit sample designs. Functions are included that will group geographic units accounting for distances apart and measures of size. Other functions compute variance components for multistage designs and sample sizes in two-phase designs. A number of example data sets are included.

Richard Valliant

PracTools

Designing and Weighting Survey Samples

Frauke Kreuter

George Zipf

Jill A. Dever

nLogOdds function

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

Arguments

Richard Valliant, Jill A. Dever, Frauke Kreuter

Author

Calculate simple random sample size for estimating a proportion — nLogOdds

<dl>

 <dt>moe.sw</dt>
<dd>switch for setting desired margin of error
 (1 = CI half-width on the proportion;
 2 = CI half-width on a proportion divided by <code>pU</code>)</dd>

 <dt>e</dt>
<dd>desired margin of error</dd>

 <dt>alpha</dt>
<dd>1 - (confidence level)</dd>

 <dt>pU</dt>
<dd>population proportion</dd>

 <dt>N</dt>
<dd>number of units in finite population</dd>

</dl>

nLogOdds: Calculate simple random sample size for estimating a proportion

Description

Usage

Value

Arguments

Author

Details

References

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Examples