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Indiana_SGP_2024.R
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Indiana_SGP_2024.R
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################################################################################
### ###
### Indiana SGP analyses for 2024 ###
### ###
################################################################################
### Load packages
require(SGP)
require(SGPmatrices)
### Load data
load("Data/Indiana_SGP.Rdata")
load("Data/Indiana_Data_LONG_2024.Rdata")
### Add Baseline matrices to SGPstateData
SGPstateData <- addBaselineMatrices("IN", "2024")
SGPstateData[["IN"]][["Assessment_Program_Information"]][["Assessment_Transition"]] <- NULL
### Read in SGP Configuration Scripts and Combine
source("SGP_CONFIG/2024/ELA.R")
source("SGP_CONFIG/2024/MATHEMATICS.R")
IN_CONFIG <- c(ELA_2024.config, MATHEMATICS_2024.config)
### Parameters
parallel.config <- list(BACKEND="PARALLEL", WORKERS=list(PERCENTILES=4, BASELINE_PERCENTILES=4, PROJECTIONS=4, LAGGED_PROJECTIONS=4, SGP_SCALE_SCORE_TARGETS=4))
#####
### Run updateSGP analysis
#####
Indiana_SGP <- updateSGP(
what_sgp_object = Indiana_SGP,
with_sgp_data_LONG = Indiana_Data_LONG_2024,
steps = c("prepareSGP", "analyzeSGP", "combineSGP", "outputSGP"),
sgp.config = IN_CONFIG,
sgp.percentiles = TRUE,
sgp.projections = TRUE,
sgp.projections.lagged = TRUE,
sgp.percentiles.baseline = TRUE,
sgp.projections.baseline = TRUE,
sgp.projections.lagged.baseline = TRUE,
save.intermediate.results = FALSE,
parallel.config = parallel.config
)
### Save results
save(Indiana_SGP, file="Data/Indiana_SGP.Rdata")