mean_estimation: Estimates the population means

In NonProbEst: Estimation in Nonprobability Sampling

Description

Estimates the means for the specified variables measured in a sample given some pre-calculated weights.

Usage

mean_estimation(sample, weights, estimated_vars, N = NULL)

Arguments

sample	A data frame containing the sample with the variables for which the means are to be calculated.
weights	A vector of pre-calculated weights.
estimated_vars	String vector specifying the variables in the sample to be estimated.
N	An integer specifying the population size (optional).

Value

A vector with the corresponding estimations.

Examples

covariates = c("education_primaria", "education_secundaria")
data_propensities = propensities(sampleNP, sampleP, covariates)
psa_weights = sc_weights(data_propensities$convenience)
mean_estimation(sampleNP, psa_weights, c("vote_pens"))

Example output

Loading required package: lattice
Loading required package: ggplot2
vote_pens 
0.3529725 

NonProbEst documentation built on July 1, 2020, 6:08 p.m.