strata.estimator: Parameter estimation of stratified data

In samplingR: Sampling and Estimation Methods

Parameter estimation of stratified data

Description

Function to make estimations of diferent parameters based on a stratified sample.

Usage

strata.estimator(
  N,
  Nh,
  data,
  estimator = c("total", "mean", "proportion", "class total"),
  replace = FALSE,
  alpha
)

Arguments

N	Population size.
Nh	Size of each population strata.
data	Stratified sample.
estimator	Estimator to compute. Can be one of "total", "mean", "proportion", "class total". Default is "total".
replace	Whether the sample to be taken can have repeated instances or not.
alpha	Optional value to calculate estimation error and build 1-alpha

Details

Nh length must be equal to number of strata in data.
data is meant to be a returned object of strata.sample function.

Value

A list containing different interest values:

• estimator

• variance

• sampling.error

• estimation.error

• confint

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