prop_estimation: Estimates the population proportion

In NonProbEst: Estimation in Nonprobability Sampling

Description

Estimates the proportion of a given class or classes for the specified variables measured in a sample given some pre-calculated weights.

Usage

prop_estimation(sample, weights, estimated_vars, class, 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.
class	String vector specifying which class (value) proportion is to be estimated in each variable. The i-th element of this vector corresponds to the class of which proportion is desired to estimate of the i-th variable of the vector specified in estimated_vars.
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)

#The function will estimate the proportion of individuals
#with the 0 value in vote_pens and the 1 value in vote_pir
prop_estimation(sampleNP, psa_weights, c("vote_pens", "vote_pir"), c(0, 1))

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