stratasize: Sample Size Determination for Stratified Sampling

In jmanitz/samplingbook: Survey Sampling Procedures

Description

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

Usage

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

Arguments

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 level=0.95.
type	type of allocation. Default is type='prop' for proportional, alternative is type='opt' for optimal.

Value

The function stratasize returns a value, which is a list consisting of the components

call	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.
n	determinated total sample size.

Author(s)

Shuai Shao

References

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

See Also

stratasamp, stratamean

Examples

#random proportional stratified sample
stratasize(e=0.1, Nh=c(100000,300000,600000), Sh=c(1,2,3))

#random optimal stratified sample
stratasize(e=0.1, Nh=c(100000,300000,600000), Sh=c(1,2,3), type="opt")

jmanitz/samplingbook documentation built on April 10, 2021, 4:44 p.m.