Smean: Sampling Mean Estimation

In samplingbook: Survey Sampling Procedures

Description

The function Smean estimates the population mean out of simple samples either with or without consideration of finite population correction.

Usage

Smean(y, N = Inf, level = 0.95)

Arguments

y	vector of sample data
N	positive integer specifying population size. Default is N=Inf, which means that calculations are carried out without finite population correction.
level	coverage probability for confidence intervals. Default is level=0.95.

Value

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

call	is a list of call components: y vector with sample data, n sample size, N population size, level coverage probability for confidence intervals
mean	mean estimate
se	standard error of the mean estimate
ci	vector of confidence interval boundaries

Author(s)

Juliane Manitz

References

Kauermann, Goeran/Kuechenhoff, Helmut (2010): Stichproben. Methoden und praktische Umsetzung mit R. Springer.

See Also

Sprop, sample.size.mean

Examples

data(pop)
Y <- pop$Y
Y
# Draw a random sample of size=3
set.seed(93456)
y <- sample(x = Y, size = 3)
sort(y)
# Estimation with infiniteness correction
est <- Smean(y = y, N = length(pop$Y))
est

Example output

Loading required package: pps
Loading required package: sampling
Loading required package: survey
Loading required package: grid
Loading required package: Matrix
Loading required package: survival

Attaching package: ‘survival’

The following objects are masked from ‘package:sampling’:

    cluster, strata


Attaching package: ‘survey’

The following object is masked from ‘package:graphics’:

    dotchart

[1]  9 10 11 18 22
[1]  9 11 22

Smean object: Sample mean estimate
With finite population correction: N=5

Mean estimate: 14
Standard error: 2.556
95% confidence interval: [8.9903,19.0097]

samplingbook documentation built on April 3, 2021, 1:06 a.m.