An R Package for the calculation of student growth percentiles and percentile growth trajectories/projections
The SGP Package (Betebenner, VanIwaarden, Domingue, Shang, 2014) is an open source package built for the open source R software environment (R Development Core Team, 2014). The classes, functions and data within the SGP package are used to calculate student growth percentiles and percentile growth projections/trajectories using large scale, longitudinal assessment data. The methodology uses quantile regression to estimate the conditional density associated associated with each student's achievement history. Percentile growth projections/trajectories are calculated using the coefficient matrices derived from the quantile regression analyses and specify the percentile growth required for students to reach future achievement targets.
- Web site: sgp.io
- CRAN Web site: http://cran.r-project.org/web/packages/SGP/
The SGP Package is crafted with ❤️ by:
We love feedback and are happy to answer questions.
Install the latest stable release from CRAN
install.packages("SGP")
require(SGP)Install latest development release from Github 
install.packages("devtools")
require(devtools)
install_github("SGP", "CenterForAssessment")
require(SGP)To install from Github you might need: Windows: Rtools (http://cran.r-project.org/bin/windows/Rtools/), OS X: xcode (from the app store), Linux: apt-get install r-base-dev (or similar).
The SGP Package Wiki contains instructions on how to prepare data and run SGP analyses.
Betebenner, D. W., VanIwaarden, A., Domingue, B., and Shang, Y. (2014). SGP: An R Package for the Calculation and Visualization of Student Growth Percentiles & Percentile Growth Trajectories.
R Development Core Team (2014). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 3-900051-07-0.
The SGP Package supports the Foundation for Open Access Statistics (FOAS)