nLogOdds {PracTools} | R Documentation |
Calculate simple random sample size for estimating a proportion
Description
Calculate the simple random sample size for estimating a proportion using the log-odds transformation.
Usage
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 |
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. (2018, chap. 3). Practical Tools for Designing and Weighting Survey Samples, 2nd edition. New York: Springer.
See Also
nProp
, nPropMoe
, nWilson
, nCont
Examples
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)