samplingbook (version 1.2.4)

stratasize: Sample Size Determination for Stratified Sampling

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.

References

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

See Also

stratasamp, stratamean

Examples

# NOT RUN {
#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")
# }