fs_construct {FuzzyPovertyR}R Documentation

Fuzzy supplementary poverty estimation.

Description

Step 7. Constructs the fuzzy supplementary poverty measure based on Steps1-6.

Usage

fs_construct(steps4_5, weight, alpha, breakdown = NULL)

Arguments

steps4_5

The results from fs_equate.

weight

A numeric vector of sampling weights. if NULL simple random sampling weights will be used

alpha

The value of the exponent in equation $E(mu)^(alpha-1) = HCR$. If NULL it is calculated so that it equates the expectation of the membership function to HCR.

breakdown

A Dimension of sub-domains to calculate estimates for (using the same alpha). If numeric will be coerced to a Dimension.

Value

An object of class FuzzySupplementary containing the fuzzy membership function for each unit, the point estimate (i.e. the expected value of the function), and the alpha parameter.

Examples

data(eusilc)
step2 = fs_transform(eusilc[,4:23], weight = eusilc$DB090, ID = eusilc$ID)
dimensions = c(1,1,1,1,2,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5)
steps4_5 = fs_weight(dimensions, step2 = step2, rho = NULL)
alpha <- fs_equate(steps4_5 = steps4_5,
weight = eusilc$DB090, HCR = .16, interval = c(1,10))

fs_results = fs_construct(steps4_5 = steps4_5,
weight = eusilc$DB090, alpha = alpha, breakdown = NULL)

fs_results = fs_construct(steps4_5 = steps4_5,
weight = eusilc$DB090, alpha = alpha, breakdown = eusilc$db040)

[Package FuzzyPovertyR version 2.0.1 Index]