samplingR (version 1.0.1)

strata.estimator: 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
)

Value

A list containing different interest values:

• estimator

• variance

• sampling.error

• estimation.error

• confint

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.