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WIDA_GA_SGP_2024_ISRs.R
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WIDA_GA_SGP_2024_ISRs.R
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###############################################################################
### ###
### Script for creating 2024 ISRs for Georgia WIDA-ACCESS ###
### ###
###############################################################################
### Load SGP package
require(data.table)
require(SGP)
### Load Data
load("Data/WIDA_GA_SGP.Rdata")
### Define 2024 ISR directory
isr_dir_24 <- "Visualizations/studentGrowthPlots/School/2024"
### Modify data for ISR production
## Only produce ISRs for students with SGPs
isr.ids <-
WIDA_GA_SGP@Data[YEAR == "2024" & !is.na(SGP), ID] # (!is.na(SGP) | GRADE == "0")
WIDA_GA_SGP@Data[!ID %in% isr.ids, VALID_CASE := "INVALID_CASE"]
## See "Projects/WIDA_GA/misc/Feedback and Questions 9_6_2023.docx"
## for code/requested student to remove
### 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$ACHIEVEMENT_LEVEL_ENGLISH <- as.character(NA)
WIDA_GA_SGP@Data[, ACHIEVEMENT_LEVEL_ENGLISH := fcase(
ACHIEVEMENT_LEVEL == "Level 1",
paste0("Entering-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL == "Level 2",
paste0("Emerging-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL == "Level 3",
paste0("Developing-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL %in% c("Level 4", "Level 4.3"),
paste0("Expanding-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL == "Level 5",
paste0("Bridging-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL == "Level 6",
paste0("Reaching-", ACHIEVEMENT_LEVEL_ORIGINAL),
ACHIEVEMENT_LEVEL == "NO SCORE", "No Score")
][!(grepl("[.]", ACHIEVEMENT_LEVEL_ENGLISH) |
ACHIEVEMENT_LEVEL_ENGLISH == "No Score"),
ACHIEVEMENT_LEVEL_ENGLISH :=
paste0(ACHIEVEMENT_LEVEL_ENGLISH, ".0")
]
## Spanish version Ach Levs
WIDA_GA_SGP@Data$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")
][!(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_24, "All_Schools")
if (!dir.exists(all_schools))
dir.create(all_schools, recursive = TRUE)
### Create "catch-all" directory for school-level catalogs
dist_schools <- file.path(isr_dir_24, "Schools_by_District")
if (!dir.exists(dist_schools))
dir.create(dist_schools, recursive = TRUE)
#####
### English Version
#####
SGPstateData[["WIDA_GA"]][["Student_Report_Information"]][[
"Achievement_Level_Labels"]] <- list(
"Level 1\nEntering" = "Level 1",
"Level 2\nEmerging" = "Level 2",
"Level 3\nDeveloping" = "Level 3",
"Level 4\nExpanding" = "Level 4",
"Level 4\nExpanding" = "Level 4.3",
"Level 5\nBridging" = "Level 5",
"Level 6\nReaching" = "Level 6"
)
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 = "2024",
# sgPlot.produce.plots=FALSE, # Get wide district data ONLY
# sgPlot.demo.report = TRUE,
sgPlot.districts = "633", # Cobb County
sgPlot.save.sgPlot.data = TRUE,
sgPlot.zip = FALSE,
parallel.config = list(
BACKEND = "PARALLEL",
WORKERS = list(SG_PLOTS = 10)
)
)
## Checks for missing schools/districs
districts <-
list.dirs(isr_dir_24, full.names = FALSE, recursive = FALSE) |>
as.numeric() |> na.omit() |> as.character()
dat.dist <-
unique(WIDA_GA_SGP@Data[YEAR == "2024" & !is.na(SGP)]$DISTRICT_NUMBER)
miss <- setdiff(dat.dist, districts)
length(miss) # No missing districts :-)
m <- WIDA_GA_SGP@Data[!is.na(SGP) & DISTRICT_NUMBER %in% miss]
table(m[, GRADE, CONTENT_AREA]) # 0 missing students
## Added in 2023:
# XXX_ACCESS_SGP_Sp20YY_EnglishISR_Reports.zip, where XXX is the
# district code and Y is the current year (2024). An example is:
# 661_ACCESS_SGP_Sp2023_EnglishISR_Reports.zip
dist_zipname <- "_ACCESS_SGP_Sp2024_EnglishISR_Reports.zip"
sch.catalogs <- list.files(file.path(isr_dir_24, "All_Schools"))
for (d in districts) {
tmp.cats <- grep(paste0("^", d, "_"), sch.catalogs, value = TRUE)
if (nchar(d) > 3) d <- gsub("^(.{3})(.*)$", "\\1-\\2", d)
zip(zipfile = file.path(dist_schools, paste0(d, dist_zipname)),
files = file.path(isr_dir_24, "All_Schools", tmp.cats),
flags = "-qj"
)
}
zip(zipfile = file.path(isr_dir_24, "All_Schools_English.zip"),
files = file.path(isr_dir_24, "All_Schools/"),
flags = "-rmqj1"
)
#####
### Spanish Version
#####
SGPstateData[["WIDA_GA"]] <- SGPstateData[["WIDA_GA_SPANISH"]]
SGPstateData[["WIDA_GA"]][["Student_Report_Information"]][[
"Achievement_Level_Labels"]] <- list(
"1-Nivel\nde entrada" = "Level 1",
"2-Nivel\nemergente" = "Level 2",
"3-Nivel\nde desarrollo" = "Level 3",
"4-Nivel\nde extensi\u{F3}n" = "Level 4",
"4-Nivel\nde extensi\u{F3}n" = "Level 4.3",
"5-Nivel\nde transformaci\u{F3}n" = "Level 5",
"6-Nivel\nde trascendencia" = "Level 6"
)
setnames(WIDA_GA_SGP@Data,
c("ACHIEVEMENT_LEVEL", "ACHIEVEMENT_LEVEL_SPANISH"),
c("ACHIEVEMENT_LEVEL_ENGLISH", "ACHIEVEMENT_LEVEL")
)
# source("..../Github_Repos/Packages/SGPstateData/Custom_ISR/WIDA_GA/WIDA_GA_Custom_ISR-text.R")
# SGPstateData[["WIDA_GA"]][["Custom_Student_Report"]][["Report_Text"]] <- Report_Text_SPANISH
visualizeSGP(
WIDA_GA_SGP,
plot.types = "studentGrowthPlot",
sgPlot.years = "2024",
# sgPlot.demo.report = TRUE,
sgPlot.districts = "633",
sgPlot.zip = FALSE,
parallel.config = list(
BACKEND = "PARALLEL",
WORKERS = list(SG_PLOTS = 10)
)
)
## New for 2024:
# 783-0636_ACCESS_SGP_Sp2024_SpanishISR_Reports.zip
dist_zipname <- "_ACCESS_SGP_Sp2024_SpanishISR_Reports.zip"
sch.catalogs <- list.files(file.path(isr_dir_24, "All_Schools"))
for (d in districts) {
tmp.cats <- grep(paste0("^", d, "_"), sch.catalogs, value = TRUE)
if (nchar(d) > 3) d <- gsub("^(.{3})(.*)$", "\\1-\\2", d)
zip(zipfile = file.path(dist_schools, paste0(d, dist_zipname)),
files = file.path(isr_dir_24, "All_Schools", tmp.cats),
flags = "-qj"
)
}
zip(zipfile = file.path(isr_dir_24, "All_Schools_Spanish.zip"),
files = file.path(isr_dir_24, "All_Schools/"),
flags = "-rmqj1"
)
### Remove district and school "shell" directories that are now empty
unlink(
list.files(
isr_dir_24, 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
years.to.remove <- 2020:2022
vars.to.remove <-
c(grep("CONTENT_AREA", names(WIDA_GA_ISR_Data), value = TRUE),
grep("TRANSFORMED", names(WIDA_GA_ISR_Data), value = TRUE),
"GRADE", paste0("GRADE.", years.to.remove),
paste0("SCALE_SCORE.", years.to.remove),
paste0("ACHIEVEMENT_LEVEL.", years.to.remove),
paste0("SGP.", years.to.remove),
paste0("SGP_LEVEL.", years.to.remove),
"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
][, REPORTED_SCH_YEAR := "2024"
]
## Reorder and rename remaining variables
col.ord <-
c("REPORTED_SCH_YEAR",
"DISTRICT_NAME.2024", "DISTRICT_NUMBER.2024",
"SCHOOL_NAME.2024", "SCHOOL_NUMBER.2024",
"ID", "LAST_NAME.2024", "FIRST_NAME.2024", "BIRTH_DATE.2024",
"GRADE.2023", "GRADE.2024",
"SCALE_SCORE.2023", "SCALE_SCORE.2024",
"ACHIEVEMENT_LEVEL.2023", "ACHIEVEMENT_LEVEL.2024",
"SGP.2024", "SGP_LEVEL.2024" # No prior (in 2023 and 2024 formatting)
)
setcolorder(WIDA_GA_ISR_Data, col.ord)
setnames(WIDA_GA_ISR_Data,
gsub("[.]2024", "", names(WIDA_GA_ISR_Data))
)
setnames(WIDA_GA_ISR_Data,
gsub("[.]2023", "_PRIOR", names(WIDA_GA_ISR_Data))
)
setnames(WIDA_GA_ISR_Data, "ID", "GTID")
WIDA_GA_ISR_Data[, c("SGP_PRIOR", "SGP_LEVEL_PRIOR") := NULL]
setkey(WIDA_GA_ISR_Data, DISTRICT_NUMBER, SCHOOL_NUMBER)
### Create workbooks
dist.dat.path <- file.path(isr_dir_24, "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("ACCESS SGP System Data Layout.xlsx")
# 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, 5, 6), widths = c(12, 25, 20, 85))
# 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_Sp2024_", 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, "_2024.zip"),
files = dist.dat.path,
flags = "-rmqj1"
)
unlink(dist.dat.path, recursive = TRUE)