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WIDA_GA_SGP_2022_ISRs.R
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WIDA_GA_SGP_2022_ISRs.R
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###############################################################################
### ###
### Script for creating 2022 ISRs for Georgia WIDA-ACCESS ###
### ###
###############################################################################
### Load SGP package
require(SGP)
require(data.table)
### Load Data
load("Data/WIDA_GA_SGP.Rdata")
### Define 2022 ISR directory
isr_dir_22 <- "Visualizations/studentGrowthPlots/School/2022"
### Modify data for ISR production
## Only produce ISRs for students with SGPs
isr.ids <-
WIDA_GA_SGP@Data[YEAR == "2022" & !is.na(SGP), ID] # (!is.na(SGP) | GRADE == "0")
WIDA_GA_SGP@Data[!ID %in% isr.ids, VALID_CASE := "INVALID_CASE"]
### Remove some duplicates (wrong GTID!)
setkey(WIDA_GA_SGP@Data, VALID_CASE, CONTENT_AREA, YEAR, ID, SCALE_SCORE)
setkey(WIDA_GA_SGP@Data, VALID_CASE, CONTENT_AREA, YEAR, ID)
WIDA_GA_SGP@Data[
which(duplicated(WIDA_GA_SGP@Data, by = key(WIDA_GA_SGP@Data))) - 1,
VALID_CASE := "INVALID_CASE"]
setkey(WIDA_GA_SGP@Data, VALID_CASE, CONTENT_AREA, YEAR, ID)
### Modify data for ISR production
WIDA_GA_SGP@Data <- WIDA_GA_SGP@Data[VALID_CASE == "VALID_CASE", ]
## Clean DISTRICT_NUMBER
WIDA_GA_SGP@Data[, DISTRICT_NUMBER := gsub("GA0000", "", DISTRICT_NUMBER)]
WIDA_GA_SGP@Data[, DISTRICT_NUMBER := gsub("GA", "", DISTRICT_NUMBER)]
## English version Ach Levs
WIDA_GA_SGP@Data$ACHIEVEMENT_LEVEL_ENGLISH <- as.character(NA)
WIDA_GA_SGP@Data[, ACHIEVEMENT_LEVEL_ENGLISH := fcase(
ACHIEVEMENT_LEVEL == "Level 1",
paste0("Entering-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL == "Level 2",
paste0("Emerging-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL == "Level 3",
paste0("Developing-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL %in% c("Level 4", "Level 4.3"),
paste0("Expanding-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL == "Level 5",
paste0("Bridging-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL == "Level 6",
paste0("Reaching-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL == "NO SCORE", "No Score")
]
WIDA_GA_SGP@Data[!(grepl("[.]", ACHIEVEMENT_LEVEL_ENGLISH) |
ACHIEVEMENT_LEVEL_ENGLISH == "No Score"),
ACHIEVEMENT_LEVEL_ENGLISH :=
paste0(ACHIEVEMENT_LEVEL_ENGLISH, ".0")
]
## Spanish version Ach Levs
WIDA_GA_SGP@Data$ACHIEVEMENT_LEVEL_SPANISH <- as.character(NA)
WIDA_GA_SGP@Data[, ACHIEVEMENT_LEVEL_SPANISH := fcase(
ACHIEVEMENT_LEVEL == "Level 1",
paste0("Entrada-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL == "Level 2",
paste0("Emergente-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL == "Level 3",
paste0("Desarrollo-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL %in% c("Level 4", "Level 4.3"),
paste0("Extensi\u{F3}n-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL == "Level 5",
paste0("Transformaci\u{F3}n-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL == "Level 6",
paste0("Trascendencia-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL == "NO SCORE", "Sin Escala")
]
WIDA_GA_SGP@Data[!(grepl("[.]", ACHIEVEMENT_LEVEL_SPANISH) |
ACHIEVEMENT_LEVEL_SPANISH == "Sin Escala"),
ACHIEVEMENT_LEVEL_SPANISH :=
paste0(ACHIEVEMENT_LEVEL_SPANISH, ".0")
]
### Create "catch-all" directory for school-level catalogs
all_schools <- file.path(isr_dir_22, "All_Schools")
if (!dir.exists(all_schools))
dir.create(all_schools, recursive = TRUE)
#####
### English Version
#####
SGPstateData[["WIDA_GA"]][["Assessment_Program_Information"]][[
"Assessment_Abbreviation"]] <- NULL
setnames(WIDA_GA_SGP@Data,
c("ACHIEVEMENT_LEVEL", "ACHIEVEMENT_LEVEL_ENGLISH"),
c("ACH_LEV_ACTUAL", "ACHIEVEMENT_LEVEL")
)
visualizeSGP(
WIDA_GA_SGP,
plot.types = "studentGrowthPlot",
sgPlot.years = "2022",
sgPlot.produce.plots=FALSE, # Get wide data for
sgPlot.save.sgPlot.data = TRUE,
sgPlot.zip = FALSE,
parallel.config = list(
BACKEND = "PARALLEL",
WORKERS = list(SG_PLOTS = 15)
)
)
zip(zipfile = file.path(isr_dir_22, "All_Schools_English.zip"),
files = file.path(isr_dir_22, "All_Schools/"),
flags = "-rmqj1"
)
#####
### Spanish Version
#####
SGPstateData[["WIDA_GA"]] <- SGPstateData[["WIDA_GA_SPANISH"]]
setnames(WIDA_GA_SGP@Data,
c("ACHIEVEMENT_LEVEL", "ACHIEVEMENT_LEVEL_SPANISH"),
c("ACHIEVEMENT_LEVEL_ENGLISH", "ACHIEVEMENT_LEVEL")
)
visualizeSGP(
WIDA_GA_SGP,
plot.types = "studentGrowthPlot",
sgPlot.years = "2022",
sgPlot.zip = FALSE,
parallel.config = list(
BACKEND = "PARALLEL",
WORKERS = list(SG_PLOTS = 15)
)
)
zip(zipfile = file.path(isr_dir_22, "All_Schools_Spanish.zip"),
files = file.path(isr_dir_22, "All_Schools/"),
flags = "-rmqj1"
)
### Remove district and school "shell" directories that are now empty
unlink(
list.files(
isr_dir_22, pattern = "[[:digit:]]",
include.dirs = TRUE, full.names = TRUE
),
recursive = TRUE
)
#####
### Output District Level Datasets
#####
require(openxlsx)
load("WIDA_Ga_studentGrowthPlot_Data.Rdata")
WIDA_GA_ISR_Data <- copy(WIDA_Ga_studentGrowthPlot_Data)
## Remove redundant and unneeded variables
vars.to.remove <-
c(grep("CONTENT_AREA", names(WIDA_GA_ISR_Data), value = TRUE),
grep("TRANSFORMED", names(WIDA_GA_ISR_Data), value = TRUE),
"GRADE", "GRADE.2019", "GRADE.2020",
"SCALE_SCORE.2019", "SCALE_SCORE.2020",
"ACHIEVEMENT_LEVEL.2019", "ACHIEVEMENT_LEVEL.2020",
"SGP.2019", "SGP.2020", "SGP.2021",
"SGP_LEVEL.2019", "SGP_LEVEL.2020", "SGP_LEVEL.2021",
"P50_PROJ_YEAR_1_CURRENT",
"P1_PROJ_YEAR_1_CURRENT", "P35_PROJ_YEAR_1_CURRENT", # might keep next year
"P66_PROJ_YEAR_1_CURRENT", "P99_PROJ_YEAR_1_CURRENT" # might keep next year
)
WIDA_GA_ISR_Data[, (vars.to.remove) := NULL]
WIDA_GA_ISR_Data[, REPORTED_SCH_YEAR := "2022"]
## Reorder and rename remaining variables
col.ord <-
c("REPORTED_SCH_YEAR",
"DISTRICT_NAME.2022", "DISTRICT_NUMBER.2022",
"SCHOOL_NAME.2022", "SCHOOL_NUMBER.2022",
"ID", "LAST_NAME.2022", "FIRST_NAME.2022", "BIRTH_DATE.2022",
"GRADE.2021", "GRADE.2022",
"SCALE_SCORE.2021", "SCALE_SCORE.2022",
"ACHIEVEMENT_LEVEL.2021", "ACHIEVEMENT_LEVEL.2022",
"SGP.2022", "SGP_LEVEL.2022"
)
setcolorder(WIDA_GA_ISR_Data, col.ord)
setnames(WIDA_GA_ISR_Data,
gsub("[.]2022", "", names(WIDA_GA_ISR_Data))
)
setnames(WIDA_GA_ISR_Data,
gsub("[.]2021", "_PRIOR", names(WIDA_GA_ISR_Data))
)
setnames(WIDA_GA_ISR_Data, "ID", "GTID")
setkey(WIDA_GA_ISR_Data, DISTRICT_NUMBER, SCHOOL_NUMBER)
### Create workbooks
dist.dat.path <- file.path(isr_dir_22, "District_Data")
if (!dir.exists(dist.dat.path))
dir.create(dist.dat.path, recursive = TRUE)
## Define styles for `openxlsx`
hs1 <-
createStyle(
halign = "left",
textDecoration = "Bold",
fgFill = "#D9D9D9",
border = "Bottom",
wrapText = FALSE
)
## Create File Layout (base) workbook
file_layout <- read.xlsx("District Data File Layout ACCESS SGP.xlsx")
names(file_layout) <- gsub("[.]", " ", names(file_layout))
layout.tab <- "ACCESS SGP Data File Layout"
base_wb <- createWorkbook(creator = NULL)
addWorksheet(base_wb, layout.tab)
setColWidths(base_wb, layout.tab, cols = c(1,2), widths = c(25, 85))
writeData(base_wb, layout.tab, file_layout, headerStyle = hs1)
for (tmp.dist in unique(WIDA_GA_ISR_Data[, DISTRICT_NUMBER])) {
tmp.data <-
WIDA_GA_ISR_Data[DISTRICT_NUMBER == tmp.dist]
if (grepl("^782|^783", tmp.dist)) {
tmp.dist <-
gsub("(\\d{3})(?=\\d{3})", "\\1-", tmp.dist, perl = TRUE)
}
tmp.dst.numb <- paste("District", tmp.dist, "Data")
tmp.dst.name <- tmp.data[, DISTRICT_NAME][1]
setkey(
tmp.data,
SCHOOL_NUMBER,
GRADE,
LAST_NAME,
FIRST_NAME
)
tmp.wb.name <-
paste0(tmp.dist, "_ACCESS_SGP_Sp2022_", tmp.dst.name, "_DATA.xlsx")
## create a workbook
growth_wb <- copyWorkbook(base_wb)
## Simple - single worksheet
addWorksheet(growth_wb, tmp.dst.numb)
setColWidths(growth_wb, tmp.dst.numb, cols = c(2, 4), widths = 20)
setColWidths(growth_wb, tmp.dst.numb, cols = c(7, 8), widths = 12)
setColWidths(growth_wb, tmp.dst.numb, cols = c(14:15), widths = 20)
freezePane(growth_wb, tmp.dst.numb, firstActiveRow = 2, firstActiveCol=9)
writeData(growth_wb, tmp.dst.numb, tmp.data, headerStyle = hs1)
saveWorkbook(
growth_wb,
file.path(dist.dat.path, tmp.wb.name),
overwrite = TRUE
)
}
zip(zipfile = paste0(dist.dat.path, "_2022.zip"),
files = dist.dat.path,
flags = "-rmqj1"
)
unlink(dist.dat.path, recursive = TRUE)