subUnitBalance: Sub-unit balance

In sitepickR: Two-Level Sample Selection with Optimal Site Replacement

Sub-unit balance

Description

Sub-unit balance between initially selected units and all units in population, for each covariate of interest

Usage

subUnitBalance(
  smOut,
  title = "Subunits from Original and Replacement Unit Groups vs. Population (SMD)"
)

Arguments

smOut	list; selectMatch() output
title	character; user-specified figure title

Value

ggplot object

Examples

################################################################################
############## Balance Diagnostics [sitepickR Package] #########################
######### Robert Olsen, Elizabeth A. Stuart & Elena Badillo-Goicoechea (2022) ##
################################################################################

# Basic usage of subUnitBalance()
rawCCD <- sitepickR::rawCCD

uSampVarsCCD <- c("w.pct.frlunch", "w.pct.black", "w.pct.hisp", "w.pct.female") 
suSampVarsCCD <- c("sch.pct.frlunch", "sch.pct.black", "sch.pct.hisp", "sch.pct.female")

dfCCD <- prepDF(rawCCD,
                unitID="LEAID", subunitID="NCESSCH")
dfCCD <- dplyr::filter(dfCCD, unitID %in% unique(dfCCD$unitID)[1:80])

smOut <- selectMatch(df = dfCCD, # user dataset
                     unitID = "LEAID", # column name of unit ID in user dataset
                     subunitID = "NCESSCH", # column name of sub-unit ID in user dataset
                     unitVars = uSampVarsCCD, # name of unit level covariate columns
                     subunitSampVars = suSampVarsCCD, # name of sub-unit level covariate columns
                     nUnitSamp = 30,
                     nRepUnits = 5,
                     nsubUnits = 2
)
subUnitBalance(smOut =smOut,
               title="Standardized Mean Difference:
               Sub-units from Original + Replacement Unit Groups vs. Population")

sitepickR documentation built on Dec. 5, 2022, 5:25 p.m.