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################################################################################
############## 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")
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