pop: Small Suppositious Sampling Example

In jmanitz/samplingbook: Survey Sampling Procedures

Description

pop is a suppositious data frame for a small population with 5 elements. It is used for simple illustration of survey sampling estimators.

Usage

data(pop)

Format

A data frame with 5 observations on the following 3 variables.

id

a numeric vector of individual identification values

X

a numeric vector of first characteristic

Y

a numeric vector of second characteristic

References

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

Examples

data(pop)
print(pop)

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

## 2) Usage of mbes()
data(pop)
# Draw a random sample of size=3
set.seed(802016)
data <- pop[sample(1:5, size=3),]
names(data) <- c('id','x','y')
# difference estimator
mbes(formula=y~x, data=data, aux=15, N=5, method='diff', level=0.95)
# ratio estimator
mbes(formula=y~x, data=data, aux=15, N=5, method='ratio', level=0.95)
# regression estimator
mbes(formula=y~x, data=data, aux=15, N=5, method='regr', level=0.95)

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