classify_indicators: Perform classification analysis of WASH indicators by varying...

In validmeasures/wsup: An Implementation of the WSUP Urban Water and Sanitation Survey in R

Description

Perform classification analysis of WASH indicators by varying stratification using lot quality assurance sampling (LQAS)

Usage

classify_indicators(indicators, vars, upper = 0.8, lower = 0.5, strata)

Arguments

indicators	A data frame containing indicators data
vars	A character vector of variables names to classify
upper	Upper standard for lot quality assurance sampling. Default is 0.80
lower	Lower standard for lot quality assurance sampling. Default is 0.50
strata	Level of stratification to which classification results are to be made. Possible values are "slum", "wealth", "overall"

Value

A data frame containing classification results per indicator per stratification

Examples

#
classify_indicators(indicators = washdata::indicatorsDataBGD,
                    vars = c("jmpWater1", "jmpWater2", "jmpWater3", "jmpWater4"),
                    strata = "slum")

validmeasures/wsup documentation built on Dec. 16, 2019, 4:50 a.m.