visualizeSGP(
sgp_object,
plot.types=c("bubblePlot", "studentGrowthPlot", "growthAchievementPlot"),
state,
bPlot.years=NULL,
bPlot.content_areas=NULL,
bPlot.districts=NULL,
bPlot.schools=NULL,
bPlot.instructors=NULL,
bPlot.styles=c(1),
bPlot.levels=NULL,
bPlot.level.cuts=NULL,
bPlot.full.academic.year=TRUE,
bPlot.minimum.n=10,
bPlot.anonymize=FALSE,
bPlot.prior.achievement=TRUE,
bPlot.draft=FALSE,
bPlot.demo=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.reports.by.school=TRUE,
sgPlot.instructors=NULL,
sgPlot.reports.by.instructor=FALSE,
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.baseline=NULL,
sgPlot.zip=TRUE,
sgPlot.output.format="PDF",
sgPlot.show.targets.years.forward=NULL,
gaPlot.years=NULL,
gaPlot.content_areas=NULL,
gaPlot.students=NULL,
gaPlot.format="print",
gaPlot.baseline=NULL,
gaPlot.max.order.for.progression=NULL,
gaPlot.folder="Visualizations/growthAchievementPlots",
parallel.config=NULL)
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
SGPstateData
.bubblePlot
s using data available in sgp_object
. If missing the
function will use the last year available in the data to produce
bubblePlot
s using data available in sgp_object
. If missing the
function will produce plots for all available content areas provided in the dbubblePlot
s using data available in sgp_object
. Consult bubblePlot
styles to determine which <bubblePlot
s using data available in sgp_object
. Consult bubblePlot
styles to determine which bubblePlot
s using data available in sgp_object
. If missing the
function will produce plots for all available instructors provided in the data wherbubblePlot
s to produce using data available in sgp_object
.
See associated documentation for example plots.bubblePlot
. See associated documentation for example plots.bubblePlot
. See associated
documentation for example plots.bubblePlot
s should use full academic year results if available.bubblePlot
s.bubblePlot
s school and district names that appear in the
plots and data tips of the plots. For student level anonymization, the fbubblePlot
s using prior achievement as well as current
achievement as the vertical dimension of the
bubblePlot
s should be placed. Default folder is "Visualizations/bubblePlots".studentGrowthPlot
s. The supplied year indicates the final year associated with each
student's
studentGrowthPlot
s. If missing, the function will utilize all available
content areas.studentGrowthPlot
s for. If missing the function will use all available
districts in the data to produce
studentGrowthPlot
s for. If missing the function will use all available
schools in the data to produce
district/school/grade folder
hierarchy. The default is TRUE which puts the reports into their appropristudentGrowthPlot
s for. If NULL and the argument sgPlot.reports.by.instructor
is TRUE,
the argument function will use all avadistrict/school/grade folder
hierarchy. The default is TRUE which puts the reports into their appropriID
s indicating which students to produce studentGrowthPlot
s for. If missing the function will
use all available students in the data to produce <
district/school/grade folder
hierarchy. The default is FALSE which puts the reports into their appropriate
studentGrowthPlot
. Another good color is goldenrod2
.studentGrowthPlot
. The default is missing so that no front page is
attached to the studentGrow
studentGrowthPlot
s should be placed. Note that studentGrowthPlot
s are placed
within nested folders wstudentGrowthPlot
s.studentGrowthPlot
s.studentGrowthPlot
s student, school and district names.
For student level anonymization, the function utilizes the ra
studentGrowthPlot
catalogs.studentGrowthPlot
catalogs. Note: When producing
studentGrowthPl
studentGrowthPlot
s. Useful when one just wants to produce
wide formatted data without the actual student growth plots.SGPstateData
which contains information on whether state is a cohort or bastudentGrowthPlot
s.growthAchievementPlot
s. If missing the function will use the last year available
in the data to produce
growthAchievementPlot
s using data available in sgp_object
.
If missing the function will produce plots for all available content aID
s indicating which students to produce growthAchievementPlot
s for. If missing the function will
use all available students in the data to produceSGPstateData
whichgrowthAchievementPlot
s should be placed. Default folder is "Visualizations/growthAchievementPlots".F
Betebenner, D. W. (2009). Norm- and criterion-referenced student growth. Educational Measurement: Issues and Practice, 28(4):42-51.
bubblePlot
, bubblePlot_Styles
, studentGrowthPlot
, growthAchievementPlot
## visualizeSGP is Step 5 of 5 of abcSGP
Demonstration_SGP <- sgpData_LONG
Demonstration_SGP <- prepareSGP(Demonstration_SGP)
Demonstration_SGP <- analyzeSGP(Demonstration_SGP)
Demonstration_SGP <- combineSGP(Demonstration_SGP)
Demonstration_SGP <- summarizeSGP(Demonstration_SGP)
visualizeSGP(Demonstration_SGP)
## Production of sample student growth and achievement plots
visualizeSGP(
sgp_object=Demonstration_SGP,
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