getWeights: Return weights calculated using raking algorism

In xinBrueck/raking: Raking Algorithm for Weighting Survey Data

Description

This function takes in a dataframe of individual survey data, each row represents an individual. a dataframe of census constrain data and perform raking algorism to get the weights for each individual based on the census constrain

Usage

getWeights(inds, cons, feat, tols = 0.0115)

Arguments

inds	a dataframe of individual survey data, in the form of indicator matrix, each row represent an individual
cons	a dataframe of census constrain data, each row is a different census region, each column represent a census category.
feat	a numerical vector representing the corresponding columns for each feature in the inds dataframe
tols	tolerence for the stopping point of the iteration of the raking algorism

Value

A dataframe weights

xinBrueck/raking documentation built on Aug. 6, 2019, 12:14 p.m.