Package: SGP 2.3-2.0

Damian W. Betebenner

SGP: Student Growth Percentiles & Percentile Growth Trajectories

An analytic framework for the calculation of norm- and criterion-referenced academic growth estimates using large scale, longitudinal education assessment data as developed in Betebenner (2009) <doi:10.1111/j.1745-3992.2009.00161.x>.

Authors:Damian W. Betebenner [aut, cre], Adam R. Van Iwaarden [aut], Ben Domingue [aut], Yi Shang [aut], Jonathan Weeks [ctb], John Stewart [ctb], Jinnie Choi [ctb], Xin Wei [ctb], Hi Shin Shim [ctb], Xiaoyuan Tan [ctb], Carrie Giovannini [ctb], Sarah Polasky [ctb], Rebecca Gau [ctb], Jeffrey Dean [ctb], William Bonk [ctb], Marie Huchton [ctb], Allison Timberlake [ctb], Qi Qin [ctb], Melissa Fincher [ctb], Kiran Athota [ctb], Travis Allen [ctb], Glenn Hirata [ctb], Glenn Nochi [ctb], Joshua Lee [ctb], Ayaka Nukui [ctb], Carissa Miller [ctb], Matthew Raimondi [ctb], Wes Bruce [ctb], Robert Hochsegang [ctb], Tony Moss [ctb], Xuewen Sheng [ctb], Kathy Flanagan [ctb], Robert Lee [ctb], Ji Zeng [ctb], Steve Viger [ctb], Joe DeCastra [ctb], Ken Thompson [ctb], Soo Yeon Cho [ctb], Jeff Halsell [ctb], Selcuk Ozdemir [ctb], Roger Silva [ctb], Deb Wiswell [ctb], Katya Levitan-Reiner [ctb], Catherine McCaslin [ctb], Joshua Marland [ctb], W Joshua Rew [ctb], Jason Becker [ctb], Jessica Bailey [ctb], Ana Karantonis [ctb], Deborah Jonas [ctb], Juan D'Brot [ctb], Nate Hixson [ctb], Deb Came [ctb], Ashley Colburn [ctb], Nick Hassell [ctb], Krissy Johnson [ctb], Daniel Bush [ctb], Justin Meyer [ctb], Joseph Newton [ctb], Nick Stroud [ctb], John Paul [ctb], Michael Flicek [ctb], Phyllis Clay [ctb], Peter Kinyua [ctb], Brendan Houng [ctb], Leslie Rosale [ctb], Nathan Wall [ctb], Julia English [ctb], Sarah Jo Torgrimson [ctb], Narek Sahakyan [ctb]

SGP_2.3-2.0.tar.gz
SGP_2.3-2.0.zip(r-4.7-any)SGP_2.3-2.0.zip(r-4.6-any)SGP_2.3-2.0.zip(r-4.5-any)
SGP_2.3-2.0.tgz(r-4.6-any)SGP_2.3-2.0.tgz(r-4.5-any)
SGP_2.3-2.0.tar.gz(r-4.7-any)SGP_2.3-2.0.tar.gz(r-4.6-any)
SGP_2.3-2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SGP/json (API)

# Install 'SGP' in R:
install.packages('SGP', repos = c('https://centerforassessment.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/centerforassessment/sgp/issues

Datasets:
  • SGPstateData - State assessment program data from large scale state assessments for use with SGP package

On CRAN:

Conda:

percentile-growth-projectionsquantile-regressionsgpsgp-analysesstudent-growth-percentilesstudent-growth-projections

9.65 score 20 stars 117 scripts 2.5k downloads 19 mentions 28 exports 42 dependencies

Last updated from:5f36dd019f. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE230
source / vignettesOK393
linux-releaseNOTE222
macos-releaseNOTE188
macos-oldrelNOTE185
windows-develNOTE177
windows-releaseNOTE229
windows-oldrelNOTE209
wasm-releaseOK152

Exports:abcSGPanalyzeSGPas.splineMatrixbaselineSGPbubblePlotbubblePlot_StylescapwordscombineSGPcourseProgressionSGPcreateKnotsBoundariesgetStateAbbreviationgofPrintgofSGPgrowthAchievementPlotis.SGPis.splineMatrixoutputSGPprepareSGPrliSGPsetNamesSGPstudentGrowthPercentilesstudentGrowthPlotstudentGrowthPlot_StylesstudentGrowthProjectionssummarizeSGPtestSGPupdateSGPvisualizeSGP

Dependencies:base64encCairocarrierclicollapsecolorspacecpp11crayoncurldata.tabledigestequategridBasejsonlitelatticelifecyclelobstrMASSMatrixMatrixModelsmiraimnormtnanonextnumDerivpkgsearchprettyunitsquantregrandomNamesRcppRcppArmadilloRcppParallelRfastrlangsnSparseMstringisurvivalsvglitesystemfontstextshapingtoOrdinalzigg

SGP Data Preparation
Introduction | WIDE data format: sgpData | LONG data format: sgpData_LONG | LONG data format with time: sgptData_LONG | LONG teacher-student lookup: sgpData_INSTRUCTOR_NUMBER | Contributions & Requests
Rendered fromSGP_Data_Preparation.Rmdusingknitr::rmarkdown

Last update: 2026-06-10
Started: 2017-09-06

SGP Data Analysis
Introduction | SGP analysis using lower level functions | SGP analysis using higher level functions | SGP Analysis in 6 Steps | SGP Analysis in 1 Step | Contributions & Requests
Rendered fromSGP_Data_Analysis.Rmdusingknitr::rmarkdown

Last update: 2026-06-10
Started: 2017-09-06

Getting started with SGP
Introduction | Software and Hardware Requirements | Data Preparation: Wide or Long Data | Data Analysis | Student Growth Percentiles | Student Growth Projections/Percentile Growth Trajectories | Advanced SGP Analysis | Standard errors for student growth percentiles | SIMEX measurement error correction | End-of-course test taking patterns | Contributions & Requests
Rendered fromSGP.Rmdusingknitr::rmarkdown

Last update: 2023-10-24
Started: 2017-08-31

Readme and manuals

Help Manual

Help pageTopics
SGP: Student Growth Percentiles & Percentile Growth TrajectoriesSGP-package SGP
Perform 6 step sequence: prepareSGP, analyzeSGP, combineSGP, summarizeSGP, visualizeSGP, and outputSGPabcSGP
Analyze student data to produce student growth percentiles and student growth projectionsanalyzeSGP
Analyze student data to produce student growth percentiles and coefficient matrices from a baseline (i.e. multiple cohort) norm groupbaselineSGP
Core bubblePlot function for SGPbubblePlot
bubblePlot_Styles providing various uses of the core bubblePlot functionbubblePlot_Styles
Function for converting all caps to mixed case. Useful in data cleaning.capwords
Combine student data and SGP resultscombineSGP
Identify potential course progressions for SGP analysescourseProgressionSGP
Function to create Knots and Boundaries from supplied data in LONG format.createKnotsBoundaries
Function to create longitudinal data set merging together individual years into a super-cohort of data.createSuperCohortData
Function for converting state/organization abbreviations to long form and back.getStateAbbreviation
Function to produce Goodness of Fit plots from a SGP object.gofPrint
Function for producing goodness of fit plots using existing SGP objectgofSGP
growthAchievementPlot for SGPgrowthAchievementPlot
Output student data and SGP results for a variety of purposesoutputSGP
Prepare data for SGP analysesprepareSGP
Wrapper function associated with SGP analyses for Renaissance Learning Incorporated (RLI) interim STAR assessments.rliSGP
Function for renaming data (typically from 'outputSGP') from a state/organization naming conventions to those used in the SGP packagesetNamesSGP
Class "SGP"is.SGP SGP-class
State assessment program data from large scale state assessments for use with SGP packageSGPstateData
Class "splineMatrix"as.splineMatrix is.splineMatrix splineMatrix-class
Student Growth PercentilesstudentGrowthPercentiles
Create a student growth and achievement chartstudentGrowthPlot
studentGrowthPlot_Styles providing base templates for the core studentGrowthPlot functionstudentGrowthPlot_Styles
Student Growth ProjectionsstudentGrowthProjections
Summarize student scale scores, proficiency levels and student growth percentiles according to user specified summary group variablessummarizeSGP
Test SGP Package functionstestSGP
Function to update SGP object with additional year's analysesupdateSGP
Visualize data from SGP analysesvisualizeSGP