Compute a simple random sample size using either a target coefficient of variation, *CV_{0}(d)*, or target variance, *V_{0}(d)*, for an estimated mean or total for a domain.

1 |

`CV0d` |
target value of coefficient of variation of estimated domain mean or total |

`V0d` |
target value of variance of estimated domain mean or total |

`S2d` |
unit (population) variance for domain units |

`ybarUd` |
population mean of target variable for domain units |

`N` |
number of units in full finite population (not just the domain population) |

`CVpopd` |
unit (population) coefficient of variation for domain units |

`Pd` |
proportion of units in the population that are in the domain |

`est.type` |
type of estimate; allowable values are |

If `CV0d`

is the desired target, then the unit CV, `CVpopd`

,
or the domain population mean and variance, `ybarUd`

and `S2d`

, must also be provided.
If `V0d`

is the constrained value, then `ybarUd`

must be also be included in the function call. `CV0d`

will then be computed as `sqrt(V0d)/ybarUd`

.

numeric sample size

Richard Valliant, Jill A. Dever, Frauke Kreuter

Valliant, R., Dever, J., Kreuter, F. (2013, sec. 3.5.2). *Practical Tools for Designing and Weighting Survey Samples*. New York: Springer.

`nCont`

, `nLogOdds`

, `nProp`

, `nPropMoe`

, `nWilson`

1 2 3 4 5 | ```
nDomain(CV0d=0.05, N=Inf, CVpopd=1, Pd=0.5, est.type="total")
nDomain(CV0d=0.05, N=Inf, CVpopd=1, Pd=0.5, est.type="mean")
nDomain(V0d=50, ybarUd=50, S2d=100, N=Inf, Pd=0.5, est.type="total")
nDomain(CV0d=0.05, ybarUd=50, S2d=100, N=Inf, Pd=0.5, est.type="total")
nDomain(CV0d=0.05, ybarUd=50, S2d=100, N=Inf, Pd=0.5, est.type="mean")
``` |

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