ppi_civ_ipa: Function to calculate Poverty Probability Index (PPI) for...

In ernestguevarra/ppicalc: Calculator for Determining Poverty Likelihood Based on the Poverty Probability Index (PPI)

Description

Function to calculate Poverty Probability Index (PPI) for Ivory Coast using IPA's new PPI methodology

Usage

ppi_civ_ipa(
  path,
  category = names(ppitables::ppiCIV2018)[2:ncol(ppitables::ppiCIV2018)]
)

Arguments

path	Directory path to IPA's Ivory Coast PPI data analysis and collection XLSX file
category	Poverty classifications that can be calculated for Ivory Coast using IPA's new PPI methodology. By default, all 15 poverty classifications for Ivory Coast are specified

Value

A dataframe of PPI for each household in df.

Examples

## Not run: 
  ppi_col_ipa(path = paste(system.file("ppi", package = "ppicalc"),
                           "ivoryCoast.xlsx", sep = "/"))

## End(Not run)

ernestguevarra/ppicalc documentation built on Jan. 14, 2020, 2:49 a.m.