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Rhode_Island_Data_LONG_2022_2023.R
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Rhode_Island_Data_LONG_2022_2023.R
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####################################################################
### ###
### Script for creating Rhode Island LONG Data for 2022_2023 ###
### ###
####################################################################
### Load required packages
require(data.table)
require(foreign)
require(openxlsx)
#######################################################################
### RICAS
#######################################################################
# ### Load Data
#Rhode_Island_Data_LONG_RICAS_2022_2023 <- fread("Data/Base_Files/RICAS2023.csv", stringsAsFactors=FALSE, encoding="Latin-1")
Rhode_Island_Data_LONG_RICAS_2022_2023 <- fread("Data/Base_Files/RICAS2023_092223_UPDATE.csv", stringsAsFactors=FALSE, encoding="Latin-1")
MISSING_IDS <- fread("Data/Base_Files/RICAS2023_MissingS1.csv", stringsAsFactors=FALSE, encoding="UTF-8")
# ### Preliminary cleanup of ethnicity data
Rhode_Island_Data_LONG_RICAS_2022_2023[asian=="Y", RACE7:="AS7"]
Rhode_Island_Data_LONG_RICAS_2022_2023[AIAN=="Y", RACE7:="AM7"]
Rhode_Island_Data_LONG_RICAS_2022_2023[BAA=="Y", RACE7:="BL7"]
Rhode_Island_Data_LONG_RICAS_2022_2023[hispanic=="Y", RACE7:="HI7"]
Rhode_Island_Data_LONG_RICAS_2022_2023[NHOPI=="Y", RACE7:="PI7"]
Rhode_Island_Data_LONG_RICAS_2022_2023[white=="Y", RACE7:="WH7"]
Rhode_Island_Data_LONG_RICAS_2022_2023[tworaces=="Y", RACE7:="M7"]
# ### Cleanup data
variables.to.keep_RICAS <- c(
"sasid", "lastname", "firstname", "grade", "stugrade",
"resp_discode", "resp_schcode", "resp_disname", "resp_schname", "resp_schlevel",
"escaleds", "eperflev", "e_ssSEM", "e_theta", "e_thetaSEM", "emode",
"mscaleds", "mperflev", "m_ssSEM", "m_theta", "m_thetaSEM", "mmode",
"RACE7", "gender", "ecodis", "ELL", "IEP", "plan504", "enonacc")
variable.names.new_RICAS <- c(
"ID", "LAST_NAME", "FIRST_NAME", "GRADE", "GRADE_ENROLLED",
"DISTRICT_NUMBER", "SCHOOL_NUMBER", "DISTRICT_NAME", "SCHOOL_NAME", "EMH_LEVEL",
"SCALE_SCORE_ACTUAL", "ACHIEVEMENT_LEVEL", "SCALE_SCORE_ACTUAL_CSEM", "SCALE_SCORE", "SCALE_SCORE_CSEM", "TEST_FORMAT",
"ETHNICITY", "GENDER", "FREE_REDUCED_LUNCH_STATUS", "ELL_STATUS", "IEP_STATUS", "enonacc",
"CONTENT_AREA")
Rhode_Island_Data_LONG_RICAS_2022_2023 <- Rhode_Island_Data_LONG_RICAS_2022_2023[, variables.to.keep_RICAS, with=FALSE]
factor.vars <- c("gender", "ecodis", "ELL", "IEP", "lastname", "firstname", "resp_schlevel", "emode", "mmode", "eperflev", "mperflev")
for(v in factor.vars) Rhode_Island_Data_LONG_RICAS_2022_2023[, (v) := factor(eval(parse(text=v)))]
# ### Tidy up RICAS data
setattr(Rhode_Island_Data_LONG_RICAS_2022_2023$lastname, "levels", as.character(sapply(levels(Rhode_Island_Data_LONG_RICAS_2022_2023$lastname), SGP:::capwords)))
setattr(Rhode_Island_Data_LONG_RICAS_2022_2023$firstname, "levels", as.character(sapply(levels(Rhode_Island_Data_LONG_RICAS_2022_2023$firstname), SGP:::capwords)))
Rhode_Island_Data_LONG_RICAS_2022_2023[, grade := as.character(as.numeric(grade))]
Rhode_Island_Data_LONG_RICAS_2022_2023[, stugrade := as.character(as.numeric(stugrade))]
Rhode_Island_Data_LONG_RICAS_2022_2023[, resp_discode:=as.character(sapply(Rhode_Island_Data_LONG_RICAS_2022_2023$resp_discode, SGP:::capwords))]
Rhode_Island_Data_LONG_RICAS_2022_2023[, resp_schcode:=as.character(sapply(Rhode_Island_Data_LONG_RICAS_2022_2023$resp_schcode, SGP:::capwords))]
Rhode_Island_Data_LONG_RICAS_2022_2023[, resp_disname:=as.character(sapply(Rhode_Island_Data_LONG_RICAS_2022_2023$resp_disname, SGP:::capwords))]
Rhode_Island_Data_LONG_RICAS_2022_2023[, resp_schname:=as.character(sapply(Rhode_Island_Data_LONG_RICAS_2022_2023$resp_schname, SGP:::capwords))]
setattr(Rhode_Island_Data_LONG_RICAS_2022_2023$resp_schlevel, "levels", as.character(sapply(levels(Rhode_Island_Data_LONG_RICAS_2022_2023$resp_schlevel), SGP:::capwords)))
setattr(Rhode_Island_Data_LONG_RICAS_2022_2023$eperflev, "levels", c("Not Meeting Expectations", "Partially Meeting Expectations", "Meeting Expectations", "Exceeding Expectations"))
setattr(Rhode_Island_Data_LONG_RICAS_2022_2023$mperflev, "levels", c("Not Meeting Expectations", "Partially Meeting Expectations", "Meeting Expectations", "Exceeding Expectations"))
Rhode_Island_Data_LONG_RICAS_2022_2023[,RACE7:=as.factor(RACE7)]
setattr(Rhode_Island_Data_LONG_RICAS_2022_2023$RACE7, "levels", c("American Indian or Alaskan Native", "Asian", "Black or African American", "Hispanic or Latino", "Multiple Ethnicities Reported", "Native Hawaiian or Pacific Islander", "White"))
setattr(Rhode_Island_Data_LONG_RICAS_2022_2023$gender, "levels", c("Female", "Male", "Other"))
# ### Other Demographic Variables
Rhode_Island_Data_LONG_RICAS_2022_2023[plan504 == "Y", IEP := "Students with 504 Plan"]
Rhode_Island_Data_LONG_RICAS_2022_2023[,plan504:=NULL]
levels(Rhode_Island_Data_LONG_RICAS_2022_2023$IEP) <- c("Students without Disabilities (Non-IEP)", "Students with Disabilities (IEP)", "Students with 504 Plan")
levels(Rhode_Island_Data_LONG_RICAS_2022_2023$ecodis) <- c("Not Economically Disadvantaged", "Economically Disadvantaged")
levels(Rhode_Island_Data_LONG_RICAS_2022_2023$ELL) <- c("Non-English Language Learners (ELL)", "English Language Learners (ELL)")
# ### Create LONG file - remove other set of content area scores and establish CONTENT_AREA variable
ela <- copy(Rhode_Island_Data_LONG_RICAS_2022_2023)[, c("mscaleds", "mperflev", "m_ssSEM", "m_theta", "m_thetaSEM", "mmode") := NULL][, CONTENT_AREA := "ELA"]
mat <- copy(Rhode_Island_Data_LONG_RICAS_2022_2023)[, c("escaleds", "eperflev", "e_ssSEM", "e_theta", "e_thetaSEM", "emode") := NULL][, CONTENT_AREA := "MATHEMATICS"]
setnames(ela, variable.names.new_RICAS)
setnames(mat, variable.names.new_RICAS)
Rhode_Island_Data_LONG_RICAS_2022_2023 <- rbindlist(list(ela, mat))
### Tidy Up data
Rhode_Island_Data_LONG_RICAS_2022_2023[, YEAR := "2022_2023"]
Rhode_Island_Data_LONG_RICAS_2022_2023[, VALID_CASE := "VALID_CASE"]
Rhode_Island_Data_LONG_RICAS_2022_2023[is.na(SCALE_SCORE), VALID_CASE:="INVALID_CASE"]
Rhode_Island_Data_LONG_RICAS_2022_2023[,enonacc := NULL]
levels(Rhode_Island_Data_LONG_RICAS_2022_2023$TEST_FORMAT) <- c("Accomodated", "Online", "Paper")
Rhode_Island_Data_LONG_RICAS_2022_2023[, TEST_FORMAT := as.character(TEST_FORMAT)]
levels(Rhode_Island_Data_LONG_RICAS_2022_2023$EMH_LEVEL) <- c(NA, "Elementary", "Elementary/Middle", "High", "Middle", "PK-12")
Rhode_Island_Data_LONG_RICAS_2022_2023[, EMH_LEVEL := as.character(EMH_LEVEL)]
Rhode_Island_Data_LONG_RICAS_2022_2023[, ID:=as.character(ID)]
### Enrollment (FAY) Variables
Rhode_Island_Data_LONG_RICAS_2022_2023[,STATE_ENROLLMENT_STATUS := factor(2, levels=1:2, labels=c("Enrolled State: No", "Enrolled State: Yes"))]
Rhode_Island_Data_LONG_RICAS_2022_2023[,DISTRICT_ENROLLMENT_STATUS := factor(2, levels=1:2, labels=c("Enrolled District: No", "Enrolled District: Yes"))]
Rhode_Island_Data_LONG_RICAS_2022_2023[,SCHOOL_ENROLLMENT_STATUS := factor(2, levels=1:2, labels=c("Enrolled School: No", "Enrolled School: Yes"))]
### Copy SCALE_SCORE_ACTUAL to SCALE_SCORE_RICAS
Rhode_Island_Data_LONG_RICAS_2022_2023[,SCALE_SCORE_RICAS:=SCALE_SCORE_ACTUAL]
setkey(Rhode_Island_Data_LONG_RICAS_2022_2023, VALID_CASE, CONTENT_AREA, YEAR, ID)
### ADD IN LABEL for MISSING SCORE
MISSING_IDS <- MISSING_IDS[,c("SASID"), with=FALSE]
setnames(MISSING_IDS, "SASID", "ID")
MISSING_IDS[,CONTENT_AREA:="ELA"]
MISSING_IDS[,YEAR:="2022_2023"]
MISSING_IDS[,VALID_CASE:="VALID_CASE"]
MISSING_IDS[,ID:=as.character(ID)]
setkey(MISSING_IDS, VALID_CASE, CONTENT_AREA, YEAR, ID)
Rhode_Island_Data_LONG_RICAS_2022_2023[MISSING_IDS, UPDATE_2023_FILE:=TRUE]
# ### Resolve duplicates
#setkey(Rhode_Island_Data_LONG_RICAS_2022_2023, VALID_CASE, CONTENT_AREA, YEAR, ID, GRADE, SCALE_SCORE)
#setkey(Rhode_Island_Data_LONG_RICAS_2022_2023, VALID_CASE, CONTENT_AREA, YEAR, ID)
#dups <- Rhode_Island_Data_LONG_RICAS_2022_2023[VALID_CASE=="VALID_CASE"][c(which(duplicated(Rhode_Island_Data_LONG_RICAS_2022_2023[VALID_CASE=="VALID_CASE"], by=key(Rhode_Island_Data_LONG_RICAS_2022_2023)))-1, which(duplicated(Rhode_Island_Data_LONG_RICAS_2022_2023[VALID_CASE=="VALID_CASE"], by=key(Rhode_Island_Data_LONG_RICAS_2022_2023)))),]
# setkeyv(dups, key(Rhode_Island_Data_LONG_RICAS_2022_2023)) # 0 duplicate cases RICAS data 9/3/22
#Rhode_Island_Data_LONG_RICAS_2022_2023[which(duplicated(Rhode_Island_Data_LONG_RICAS_2022_2023, by=key(Rhode_Island_Data_LONG_RICAS_2022_2023)))-1, VALID_CASE:="INVALID_CASE"]
#######################################################################
### PSAT/SAT
#######################################################################
### Load Data
Rhode_Island_Data_LONG_PSAT_2022_2023 <- fread("Data/Base_Files/psat export-07-12-2023.csv", fill=TRUE, sep=",")
Rhode_Island_Data_LONG_SAT_2022_2023 <- fread("Data/Base_Files/sat export-07-12-2023.csv", fill=TRUE, sep=",")
Rhode_Island_Data_DEMOGRAPHICS <- fread("Data/Base_Files/RI_Summative_StudRR_File_2023-06-21.csv")
District_Names_2021 <- as.data.table(read.spss("Data/Base_Files/2021Districts.sav"))
School_Names_2021 <- as.data.table(read.spss("Data/Base_Files/2021Schools.sav"))
### Cleanup data
variables.to.keep_PSAT <- c(
"RESPONSIBLE_SCHCODE", "RESPONSIBLE_DISTCODE",
"SASID", "STUDENT LAST", "STUDENT FIRST", "GRADE_LEVEL_CB",
"EBRW_TOTAL_SCORE", "ELA_PERFLEVEL", "MATH_TOTAL_SCORE", "MATH_PERFLEVEL",
"DERIVED AGGREGATE RACE ETHNICITY", "SEX", "ATTEMPT_ELA", "ATTEMPT_MATH", "FORM_CODE", "ELA_scalescoreSE", "Math_scalescoreSE")
variables.to.keep_SAT <- c(
"RESPONSIBLE_SCHCODE", "RESPONSIBLE_DISTCODE",
"SASID", "STUDENT LAST", "STUDENT FIRST", "GRADE_LEVEL_CB",
"EBRW_TOTAL_SCORE", "ELA_PERFLEVEL", "MATH_TOTAL_SCORE", "MATH_PERFLEVEL",
"DERIVED AGGREGATE RACE ETHNICITY", "SEX", "ATTEMPT_ELA", "ATTEMPT_MATH", "FORM_CODE", "ELA_scalescoreSE", "Math_scalescoreSE")
variable.names.new_PSAT_SAT <- c(
"SCHOOL_NUMBER", "SCHOOL_NAME", "DISTRICT_NUMBER", "DISTRICT_NAME",
"ID", "LAST_NAME", "FIRST_NAME", "GRADE_ENROLLED",
"SCALE_SCORE", "ACHIEVEMENT_LEVEL",
"ETHNICITY", "GENDER",
"PARTICIPATION", "FORM", "SCALE_SCORE_CSEM", "GRADE", "CONTENT_AREA")
Rhode_Island_Data_LONG_PSAT_2022_2023 <- Rhode_Island_Data_LONG_PSAT_2022_2023[, variables.to.keep_PSAT, with=FALSE]
Rhode_Island_Data_LONG_SAT_2022_2023 <- Rhode_Island_Data_LONG_SAT_2022_2023[, variables.to.keep_SAT, with=FALSE]
setnames(Rhode_Island_Data_LONG_PSAT_2022_2023, "GRADE_LEVEL_CB", "GRADE_ENROLLED")
setnames(Rhode_Island_Data_LONG_SAT_2022_2023, "GRADE_LEVEL_CB", "GRADE_ENROLLED")
Rhode_Island_Data_LONG_PSAT_2022_2023[,GRADE_ENROLLED:=as.character(as.numeric(GRADE_ENROLLED))]
Rhode_Island_Data_LONG_SAT_2022_2023[,GRADE_ENROLLED:=as.character(as.numeric(GRADE_ENROLLED))]
Rhode_Island_Data_LONG_PSAT_2022_2023[GRADE_ENROLLED=="5", GRADE_ENROLLED:="10"]
Rhode_Island_Data_LONG_PSAT_2022_2023[GRADE_ENROLLED=="6", GRADE_ENROLLED:="11"]
Rhode_Island_Data_LONG_SAT_2022_2023[GRADE_ENROLLED=="5", GRADE_ENROLLED:="10"]
Rhode_Island_Data_LONG_SAT_2022_2023[GRADE_ENROLLED=="6", GRADE_ENROLLED:="11"]
Rhode_Island_Data_LONG_PSAT_2022_2023[,GRADE:="10"]
Rhode_Island_Data_LONG_SAT_2022_2023[,GRADE:="11"]
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023 <- rbindlist(list(Rhode_Island_Data_LONG_PSAT_2022_2023, Rhode_Island_Data_LONG_SAT_2022_2023), fill=TRUE)
setnames(Rhode_Island_Data_LONG_PSAT_SAT_2022_2023, c("RESPONSIBLE_DISTCODE", "RESPONSIBLE_SCHCODE"), c("DistrictCode", "SchoolCode"))
setnames(Rhode_Island_Data_LONG_PSAT_SAT_2022_2023, gsub(" ", "_", names(Rhode_Island_Data_LONG_PSAT_SAT_2022_2023)))
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[,DistrictCode:=strtail(paste0("0", DistrictCode), 2)]
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[,SchoolCode:=strtail(paste0("0", SchoolCode), 5)]
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[DistrictCode=="NA", DistrictCode:=as.character(NA)]
District_Names_2021[,DistrictName:=as.character(sapply(DistrictName, SGP:::capwords))]
School_Names_2021 <- School_Names_2021[,Sname:=as.character(sapply(Sname, SGP:::capwords))][,c("resp_schcode", "Sname"), with=FALSE]
setnames(School_Names_2021, c("resp_schcode", "Sname"), c("SchoolCode", "SchoolName"))
setkey(District_Names_2021, DistrictCode)
setkey(School_Names_2021, SchoolCode)
setkey(Rhode_Island_Data_LONG_PSAT_SAT_2022_2023, DistrictCode)
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023 <- District_Names_2021[Rhode_Island_Data_LONG_PSAT_SAT_2022_2023]
setkey(Rhode_Island_Data_LONG_PSAT_SAT_2022_2023, SchoolCode)
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023 <- School_Names_2021[Rhode_Island_Data_LONG_PSAT_SAT_2022_2023]
setnames(Rhode_Island_Data_LONG_PSAT_SAT_2022_2023, "FORM_CODE", 'FORM')
factor.vars <- c("STUDENT_LAST", "STUDENT_FIRST", "ELA_PERFLEVEL", "MATH_PERFLEVEL", "SEX")
for(v in factor.vars) Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[, (v) := factor(eval(parse(text=v)))]
setattr(Rhode_Island_Data_LONG_PSAT_SAT_2022_2023$STUDENT_LAST, "levels", as.character(sapply(levels(Rhode_Island_Data_LONG_PSAT_SAT_2022_2023$STUDENT_LAST), SGP:::capwords)))
setattr(Rhode_Island_Data_LONG_PSAT_SAT_2022_2023$STUDENT_FIRST, "levels", as.character(sapply(levels(Rhode_Island_Data_LONG_PSAT_SAT_2022_2023$STUDENT_FIRST), SGP:::capwords)))
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[,ELA_PERFLEVEL:=as.factor(as.character(ELA_PERFLEVEL))]
setattr(Rhode_Island_Data_LONG_PSAT_SAT_2022_2023$ELA_PERFLEVEL, "levels", c("Not Meeting Expectations", "Partially Meeting Expectations", "Meeting Expectations", "Exceeding Expectations"))
setattr(Rhode_Island_Data_LONG_PSAT_SAT_2022_2023$MATH_PERFLEVEL, "levels", c("Not Meeting Expectations", "Partially Meeting Expectations", "Meeting Expectations", "Exceeding Expectations"))
setattr(Rhode_Island_Data_LONG_PSAT_SAT_2022_2023$SEX, "levels", c("Female", "Male", "Other"))
### Create LONG file - remove other set of content area scores and establish CONTENT_AREA variable
ela <- copy(Rhode_Island_Data_LONG_PSAT_SAT_2022_2023)[, c("MATH_TOTAL_SCORE", "MATH_PERFLEVEL", "ATTEMPT_MATH", "Math_scalescoreSE") := NULL]
mat <- copy(Rhode_Island_Data_LONG_PSAT_SAT_2022_2023)[, c("EBRW_TOTAL_SCORE", "ELA_PERFLEVEL", "ATTEMPT_ELA", "ELA_scalescoreSE") := NULL]
ela[GRADE=="10", CONTENT_AREA:="ELA_PSAT_10"]
ela[GRADE=="11", CONTENT_AREA:="ELA_SAT"]
mat[GRADE=="10", CONTENT_AREA:="MATHEMATICS_PSAT_10"]
mat[GRADE=="11", CONTENT_AREA:="MATHEMATICS_SAT"]
### Fix up ETHNICITY
ela[,DERIVED_AGGREGATE_RACE_ETHNICITY:=as.factor(DERIVED_AGGREGATE_RACE_ETHNICITY)]
mat[,DERIVED_AGGREGATE_RACE_ETHNICITY:=as.factor(DERIVED_AGGREGATE_RACE_ETHNICITY)]
setattr(ela$DERIVED_AGGREGATE_RACE_ETHNICITY, "levels", c("No Primary Race/Ethnicity Reported", "American Indian or Alaska Native", "Asian", "Black or African American", "Native Hawaiian or Pacific Islander", "White"))
setattr(mat$DERIVED_AGGREGATE_RACE_ETHNICITY, "levels", c("No Primary Race/Ethnicity Reported", "American Indian or Alaska Native", "Asian", "Black or African American", "Native Hawaiian or Pacific Islander", "White"))
setnames(ela, variable.names.new_PSAT_SAT)
setnames(mat, variable.names.new_PSAT_SAT)
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023 <- rbindlist(list(ela, mat))
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[GRADE %in% c("10", "11"), GRADE:="EOCT"]
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[,ID:=as.character(ID)]
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[,ACHIEVEMENT_LEVEL:=as.character(ACHIEVEMENT_LEVEL)]
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[,SCALE_SCORE:=as.numeric(SCALE_SCORE)]
# ### Tidy Up data
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[, YEAR:="2022_2023"]
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[, VALID_CASE:="VALID_CASE"]
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[is.na(SCALE_SCORE), VALID_CASE:="INVALID_CASE"]
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[, EMH_LEVEL := "High"]
# ### Enrollment (FAY) Variables
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[,STATE_ENROLLMENT_STATUS := factor(2, levels=1:2, labels=c("Enrolled State: No", "Enrolled State: Yes"))]
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[,DISTRICT_ENROLLMENT_STATUS := factor(2, levels=1:2, labels=c("Enrolled District: No", "Enrolled District: Yes"))]
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[,SCHOOL_ENROLLMENT_STATUS := factor(2, levels=1:2, labels=c("Enrolled School: No", "Enrolled School: Yes"))]
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[PARTICIPATION=="", PARTICIPATION:="N"]
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[PARTICIPATION=="N", STATE_ENROLLMENT_STATUS:="Enrolled State: No"]
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[PARTICIPATION=="N", DISTRICT_ENROLLMENT_STATUS:="Enrolled District: No"]
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[PARTICIPATION=="N", SCHOOL_ENROLLMENT_STATUS:="Enrolled School: No"]
Rhode_Island_Data_LONG_PSAT_SAT_2022_2023[PARTICIPATION=="N", VALID_CASE:="INVALID_CASE"]
### rbind RICAS and PSAT/SAT data
#Rhode_Island_Data_LONG_2022_2023 <- Rhode_Island_Data_LONG_PSAT_SAT_2022_2023 ### TEMPORARY UNTIL RICAS data arrives
Rhode_Island_Data_LONG_2022_2023 <- rbindlist(list(Rhode_Island_Data_LONG_RICAS_2022_2023, Rhode_Island_Data_LONG_PSAT_SAT_2022_2023), fill=TRUE)
### Resolve duplicates
#setkey(Rhode_Island_Data_LONG_2022_2023, VALID_CASE, CONTENT_AREA, YEAR, ID, GRADE, SCALE_SCORE)
#setkey(Rhode_Island_Data_LONG_2022_2023, VALID_CASE, CONTENT_AREA, YEAR, ID)
#dups <- Rhode_Island_Data_LONG_2022_2023[VALID_CASE=="VALID_CASE"][c(which(duplicated(Rhode_Island_Data_LONG_2022_2023[VALID_CASE=="VALID_CASE"], by=key(Rhode_Island_Data_LONG_2022_2023)))-1, which(duplicated(Rhode_Island_Data_LONG_2022_2023[VALID_CASE=="VALID_CASE"], by=key(Rhode_Island_Data_LONG_2022_2023)))),]
#setkeyv(dups, key(Rhode_Island_Data_LONG_2022_2023)) # 0 duplicate cases RICAS/PSAT/SAT data 9/2/22
#Rhode_Island_Data_LONG_2022_2023[which(duplicated(Rhode_Island_Data_LONG_2022_2023, by=key(Rhode_Island_Data_LONG_2022_2023)))-1, VALID_CASE:="INVALID_CASE"]
### Save results
setkey(Rhode_Island_Data_LONG_2022_2023, VALID_CASE, CONTENT_AREA, YEAR, ID)
save(Rhode_Island_Data_LONG_2022_2023, file="Data/Rhode_Island_Data_LONG_2022_2023.Rdata")