srs.domainestimator: Simple Random Sample parameter estimation of domains.

In samplingR: Sampling and Estimation Methods

Simple Random Sample parameter estimation of domains.

Description

Function to make estimations of diferent parameters on a given domain based on a Simple Random Sample.

Usage

srs.domainestimator(
  Nh,
  data,
  estimator = c("total", "mean", "proportion", "class total"),
  domain,
  replace = FALSE,
  alpha
)

Arguments

Nh	Number of instances of the data set domain.
data	Sample of the data. It must constain a column with the data to estimate and a second column with the domain of each instance.
estimator	One of "total", "mean". Default is "total".
domain	Domain of the sample from which parameter estimation will be done.
replace	Whether the sample to be taken can have repeated instances or not.
alpha	Optional value to calculate estimation error and build 1-alpha confidence interval.

Details

Data columns must be arranged with interest values on the first column and domain values on the last column.
Domain parameter can be either numeric or character and must be equal to one of the values of the domain column of data.

Value

A list containing different interest values:

• estimator

• variance

• sampling.error

• estimation.error

• confint

References

Pérez, C. (1999) Técnicas de muestreo estadístico. Teoría, práctica y aplicaciones informáticas. 193-195

Examples

data<-cbind(rnorm(500, 50, 20), rep(c(1:2),250))
sample<-data[srs.sample(500, 100),]
sum(data[which(data[,-1]==1),1])
srs.domainestimator(Nh = 250, data = sample, estimator="total", domain=1)

samplingR documentation built on July 9, 2023, 7:26 p.m.