eq_predicate {FuzzyPovertyR}

Fuzzy predicate poverty estimation

Description

This function takes as input a numeric vector representing a predicate variable and turns it into its equivalised version using different equivalence scales.

Usage

eq_predicate(predicate, ncomp, age, scale.eq, newscale)

Arguments

predicate

A numeric vector representing the poverty predicate (i.e. income or expenditure)

ncomp

A numerical vector of the total number of components for the j-th family.

age

A numerical vector of the number of components for the j-th family less than 16 years-old

scale.eq

The equivalence scale. Options are: Carbonaro, n.par (non parametric), OECD7050, modifiedOECD or new

newscale

a data.frame with two columns: "ncomp" defining the number of components and "s.eq" that define the corresponding

Value

A data.frame containing the equivalised predicate variable.

Examples

aa=runif(100, 0, 1000) # predicate
ncomp=rep(c(1,3,5,7,4),20) #n componenti
age16=ncomp-1 #componenti < 16
eq_predicate(predicate=aa, ncomp=ncomp, scale.eq="carbonaro") #carbonaro
eq_predicate(predicate=aa, ncomp=ncomp, scale.eq="n.par") #non-parametric
eq_predicate(predicate=aa, ncomp=ncomp, age=age16, scale.eq="OECD7050") #OECD7050
eq_predicate(predicate=aa, ncomp=ncomp, age=age16, scale.eq="modifiedOECD") #modifiedOECD
newscal=data.frame("ncomp"=c(1:9), "s.eq"=runif(9,1,10)) # new
ncomp=rep(c(10,3,5,7,4),20)
eq_predicate(predicate=aa, ncomp=ncomp,scale.eq="new", newscale=newscal)