Last active
December 12, 2015 09:09
-
-
Save dbetebenner/4749279 to your computer and use it in GitHub Desktop.
Code to demonstrate that one can apply SGP analyses to tests like NAPLAN that occur bi-annually.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
###################################################################################### | |
### | |
### Script to show use of SGP package with bi-annual assessment data like NAPLAN | |
### | |
###################################################################################### | |
### Load SGP package | |
require(SGP) | |
### Need to modify meta-data in SGPstateData associated with state DEMO: | |
SGPstateData[["DEMO"]][["Growth"]][["System_Type"]] <- "Cohort Referenced" | |
SGPstateData[["DEMO"]][["Student_Report_Information"]][["Grades_Reported"]][["MATHEMATICS"]] <- c(4, 6, 8, 10) | |
SGPstateData[["DEMO"]][["Student_Report_Information"]][["Grades_Reported"]][["READING"]] <- c(4, 6, 8, 10) | |
SGPstateData[["DEMO"]][["Assessment_Program_Information"]][["Grades_Tested"]] <- c(4, 6, 8, 10) | |
SGPstateData[["DEMO"]][["Achievement"]][["Cutscores"]] <- list( | |
MATHEMATICS=list( | |
GRADE_4=c(383, 455, 538), | |
GRADE_6=c(454, 520, 589), | |
GRADE_8=c(521, 577, 628), | |
GRADE_10=c(562, 627, 692)), | |
READING=list( | |
GRADE_4=c(517, 572, 671), | |
GRADE_6=c(543, 600, 696), | |
GRADE_8=c(578, 632, 724), | |
GRADE_10=c(607, 663, 747))) | |
### Create bi-annual data set from sgpData_LONG data object. | |
sgpData_LONG_BIANNUAL <- sgpData_LONG[!sgpData_LONG$GRADE %in% c(3,5,7,9),] | |
### prepareSGP | |
Demonstration_SGP <- prepareSGP(sgpData_LONG_BIANNUAL, state="DEMO", create.additional.variables=FALSE) | |
### analyzeSGP | |
Demonstration_SGP <- analyzeSGP(Demonstration_SGP, state="DEMO", | |
sgp.percentiles=TRUE, | |
sgp.projections=TRUE, | |
sgp.projections.lagged=TRUE, | |
sgp.percentiles.baseline=FALSE, | |
sgp.projections.baseline=FALSE, | |
sgp.projections.lagged.baseline=FALSE, | |
simulate.sgps=FALSE) | |
### combineSGP | |
Demonstration_SGP <- combineSGP(Demonstration_SGP, state="DEMO") | |
### summarizeSGP | |
Demonstration_SGP <- summarizeSGP(Demonstration_SGP, state="DEMO") | |
### visualizeSGP | |
visualizeSGP(Demonstration_SGP, | |
state="DEMO", | |
plot.types=c("bubblePlot","growthAchievementPlot"), # sgPlots can be produced, but they are UGLY (especially in 6th grade)! Demo fails completely | |
bPlot.styles=c(1), | |
gaPlot.format="presentation", | |
gaPlot.years="2011_2012", #parallel.config=list(BACKEND="FOREACH", TYPE=NA, WORKERS=list(GA_PLOTS=1, SG_PLOTS=1, SG_PLOTS_TARGETS=1))) | |
sgPlot.demo.report=TRUE) # NOTE: Turning this off will produce all plots for all students in the DEMO data |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment