getSim: Return resulting percents/variance/mean/CIs for education...

In xinBrueck/raking: Raking Algorithm for Weighting Survey Data

Description

This function takes in a dataframe of individuals survey data containing gender, race, age info as in indicator matrix form. takes n samples, perform raking algorism on each sample to get the weights, use the weights to get the percentage for each levels in education and citybelongings.Finally get the mean, variance, CIs for the levels percentages using the samples.

Usage

getSim(surveyInput, censusInput, sample, seed, biased)

Arguments

surveyInput	dataframe of individuals survey data containing gender, race, age info
censusInput	dataframe of census constrain data, each column represents a census category
sample	number of samples to take
seed	seeds to be used for sampling
biased	if biased > 0, use biased as the prob of sampling female individuals

Value

A list of the resulting percentages in the samples, the mean/variance/CIs for education levels and citybelonging levels

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