visualizeSGP(
sgp_object,
plot.types=c("bubblePlot", "studentGrowthPlot", "growthAchievementPlot"),
state,
bPlot.years=NULL,
bPlot.content_areas=NULL,
bPlot.districts=NULL,
bPlot.schools=NULL,
bPlot.styles=c(1),
bPlot.levels=NULL,
bPlot.full.academic.year=TRUE,
bPlot.minimum.n=10,
bPlot.anonymize=FALSE,
bPlot.prior.achievement=TRUE,
bPlot.draft=FALSE,
bPlot.format="print",
bPlot.folder="Visualizations/bubblePlots",
sgPlot.save.sgPlot.data=FALSE,
sgPlot.years=NULL,
sgPlot.content_areas=NULL,
sgPlot.districts=NULL,
sgPlot.schools=NULL,
sgPlot.students=NULL,
sgPlot.reports.by.student=FALSE,
sgPlot.header.footer.color="#4CB9CC",
sgPlot.front.page=NULL,
sgPlot.folder="Visualizations/studentGrowthPlots",
sgPlot.folder.names="number",
sgPlot.fan=TRUE,
sgPlot.anonymize=FALSE,
sgPlot.cleanup=TRUE,
sgPlot.demo.report=FALSE,
sgPlot.produce.plots=TRUE,
sgPlot.parallel.config=list(TYPE="FOREACH", OPTIONS=list(preschedule=FALSE)),
gaPlot.years=NULL,
gaPlot.content_areas=NULL,
gaPlot.students=NULL,
gaPlot.format="print",
gaPlot.folder="Visualizations/growthAchievementPlots")Data slot that will be used for the production of student growth
and achievement plots and system growth and achievement plots, summary data from bubblePlot,
studentGrowthPlot, and stateData.bubblePlots using data available in sgp_object. If missing the
function will use the last year available in the data to produce bubblePlots using data available in sgp_object. If missing the
function will produce plots for all available content areas provided in the datbubblePlots using data available in sgp_object. Consult bubblePlot
styles to determine which bubblePlots using data available in sgp_object. Consult bubblePlot
styles to determine which bubblePlots to produce using data available in sgp_object. See
associated documentation for example plots.bubblePlot. See associated documentation for example plots.bubblePlots should use full academic year results if available.bubblePlots.bubblePlots school and district names that appear in the
plots and data tips of the plots. For student level anonymization, the funbubblePlots using prior achievement as well as current
achievement as the vertical dimension of the bubblePlots should be placed. Default folder is "Visualizations/bubblePlots".studentGrowthPlots. The supplied year indicates the final year associated with each
student's studentGrowthPlots. If missing, the function will utilize all available
content areas.studentGrowthPlots for. If missing the function will use all available
districts in the data to produce studentGrowthPlots for. If missing the function will use all available
schools in the data to produce IDs indicating which students to produce studentGrowthPlots for. If missing the function will
use all available students in the data to produce studentGrowthPlot. Another good color is goldenrod2.studentGrowthPlot. The default is missing so that no front page is
attached to the studentGrowthstudentGrowthPlots should be placed. Note that studentGrowthPlots are placed
within nested folders witstudentGrowthPlots.studentGrowthPlots.studentGrowthPlots student, school and district names.
For student level anonymization, the function utilizes the randstudentGrowthPlot catalogs.studentGrowthPlot catalogs. Note: When producing
studentGrowthPlotstudentGrowthPlots. Useful when one just wants to produce
wide formatted data without the actual student growth plots.TYPE of back end used for the parallel computation and OPTIONS that apply to that parallel back end. Default is to use
FOREACH for the back end with OPTIONS=list(preschedule=FALSE)growthAchievementPlots. If missing the function will use the last year available
in the data to produce growthAchievementPlots using data available in sgp_object. If missing the
function will produce plots for all available content areIDs indicating which students to produce growthAchievementPlots for. If missing the function will
use all available students in the data to produce <growthAchievementPlots should be placed. Default folder is "Visualizations/growthAchievementPlots".bubblePlot, bubblePlot_Styles, studentGrowthPlot, growthAchievementPlot## visualizeSGP is Step 5 of 5 of abcSGP
Demonstration_Data <- sgpData_LONG
Demonstration_Data <- prepareSGP(Demonstration_Data)
Demonstration_Data <- analyzeSGP(Demonstration_Data)
Demonstration_Data <- combineSGP(Demonstration_Data)
Demonstration_Data <- summarizeSGP(Demonstration_Data)
visualizeSGP(Demonstration_Data)
## Production of sample student growth and achievement plots
visualizeSGP(
sgp_object=Demonstration_Data,
plot.types="studentGrowthPlot",
state="DEMO",
sgPlot.districts=470,
sgPlot.schools=c(6418, 8008),
sgPlot.header.footer.color="#4CB9CC")Run the code above in your browser using DataLab