`stratasize.Rd`

The function `stratasize`

determinates the total size of stratified samples depending on type of allocation and determinated by specified precision.

stratasize(e, Nh, Sh, level = 0.95, type = 'prop')

e | positive number specifying sampling precision. |
---|---|

Nh | vector of population sizes in each stratum. |

Sh | vector of standard deviation in each stratum. |

level | coverage probability for confidence intervals. Default is |

type | type of allocation. Default is |

The function `stratasize`

returns a value, which is a list consisting of the components

is a list of call components: `e`

specified precision, `Nh`

population sizes of every stratum, `Sh`

standard diviation of every stratum, `method`

type of allocation, `level`

coverage probability for confidence intervals.

determinated total sample size.

Kauermann, Goeran/Kuechenhoff, Helmut (2011): Stichproben. Methoden und praktische Umsetzung mit R. Springer.

Shuai Shao

#> #> stratamean object: Stratified sample size determination #> #> type of sample: prop #> #> total sample size determinated: 2568#random optimal stratified sample stratasize(e=0.1, Nh=c(100000,300000,600000), Sh=c(1,2,3), type="opt")#> #> stratamean object: Stratified sample size determination #> #> type of sample: opt #> #> total sample size determinated: 2395