fs_weight {FuzzyPovertyR}

Fuzzy supplementary poverty estimation

Description

Step 4 and Step 5. Calculates the weights of dimensions discovered after Dimension analysis.

Usage

fs_weight(dimensions, step2, rho = NULL)

Arguments

dimensions

A numeric vector (of length ncol(data)) of assignments of items in data to dimensions.

step2

The data frame resulting from step2.

rho

The critical value to be used for calculation of weights in the kendall correlation matrix.

Details

This function calculates the two set of weights w_a and w_b (see References)

Value

An object of class FuzzySupplementary with calculated weights and deprivation scores in each dimension identified.

References

Betti, G., Gagliardi, F., & Verma, V. (2018). Simplified Jackknife variance estimates for fuzzy measures of multidimensional poverty. International Statistical Review, 86(1), 68-86.

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)