summarizeSGPsummarizeSGP and promote proper group summary specification.viewSummaryGroups(
summary.groups=list(institution=c("STATE", "DISTRICT_NUMBER", "SCHOOL_NUMBER"),
content="CONTENT_AREA",
time="YEAR",
institution_level="GRADE",
demographic=c("GENDER", "ETHNICITY", "FREE_REDUCED_LUNCH_STATUS", "ELL_STATUS", "IEP_STATUS", "GIFTED_AND_TALENTED_PROGRAM_STATUS", "CATCH_UP_KEEP_UP_STATUS"),
institution_inclusion=list(STATE="STATE_ENROLLMENT_STATUS", DISTRICT_NUMBER="DISTRICT_ENROLLMENT_STATUS", SCHOOL_NUMBER="SCHOOL_ENROLLMENT_STATUS")),
confidence.interval.groups=list(institution="SCHOOL_NUMBER",
content="CONTENT_AREA",
time="YEAR",
institution_level=NULL,
demographic=NULL,
institution_inclusion=list(STATE=NULL, DISTRICT_NUMBER=NULL, SCHOOL_NUMBER="SCHOOL_ENROLLMENT_STATUS")),
confidence.interval.groups.only=FALSE)summarizeSGP. This includes the institution, content area, time, institution_levelsummarizeSGP. List slots set to NULL will not produce confidence intervals. NOTE: Groups tosummarizeSGP.summarizeSGP in order to see the group permutations for which summary tables will be produced in summarizeSGP.summarizeSGP## View only summary.groups combinations that will have confidence intervals
viewSummaryGroups(confidence.interval.groups.only=TRUE)Run the code above in your browser using DataLab