Nothing
\dontrun{
# read in the example data (generated, not real student data)
sdf <- readNAEP(path=system.file("extdata/data", "M36NT2PM.dat", package="NAEPprimer"))
# discrete achievement levels
achievementLevels(achievementVars=c("composite"), aggregateBy=NULL, data=sdf)
# discrete achievement levels with a different subscale
achievementLevels(achievementVars=c("num_oper"), aggregateBy=NULL, data=sdf)
# cumulative achievement levels
achievementLevels(achievementVars=c("composite"), aggregateBy=NULL, data=sdf,
returnCumulative=TRUE)
# cumulative achievement levels with a different subscale
achievementLevels(achievementVars=c("num_oper"), aggregateBy=NULL, data=sdf,
returnCumulative=TRUE)
# achievement levels as independent variables, by sex aggregated by composite
achievementLevels(achievementVars=c("composite", "dsex"), aggregateBy="composite",
data=sdf, returnCumulative=TRUE)
# achievement levels as independent variables, by sex aggregated by sex
achievementLevels(achievementVars=c("composite", "dsex"), aggregateBy="dsex",
data=sdf, returnCumulative=TRUE)
# achievement levels as independent variables, by race aggregated by race
achievementLevels(achievementVars=c("composite", "sdracem"),
aggregateBy="sdracem", data=sdf, returnCumulative=TRUE)
# use customized cutpoints
achievementLevels(achievementVars=c("composite"), aggregateBy=NULL, data=sdf,
cutpoints = c("Customized Basic" = 200,
"Customized Proficient" = 300,
"Customized Advanced" = 400))
# use recode to change values for specified variables:
achievementLevels(achievementVars=c("composite", "dsex", "b017451"),
aggregateBy = "dsex", sdf,
recode=list(b017451=list(from=c("Never or hardly ever",
"Once every few weeks",
"About once a week"),
to="Infrequently"),
b017451=list(from=c("2 or 3 times a week",
"Every day"),
to="Frequently")))
}
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