Smean: Sampling Mean Estimation

In jmanitz/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

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