The SGP Package is open source software built for the R software environment. 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. Quantile regression is used to estimate the conditional density associated with each student's achievement history. Percentile growth projections/trajectories are calculated using the derived coefficient matrices and show the percentile growth needed to reach future achievement targets.

• Web: sgp.io
• CRAN Repo: http://cran.r-project.org/package=SGP

The SGP Package is crafted with ❤️ by:

• Damian Betebenner
• Adam VanIwaarden
• Ben Domingue
• Yi Shang

We love feedback and are happy to answer questions.

install.packages("SGP")
require(SGP)

install.packages("devtools")
require(devtools)
install_github("CenterForAssessment/SGP")
require(SGP)

To install from Github you might need: 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.
• The SGP Package Documentation contains man pages for all functions and data sets in the the SGP Package.
• Numerous SGP Gists provide other examples of analyses that can be performed.

Betebenner, D. W., VanIwaarden, A., Domingue, B., and Shang, Y. (2016). SGP: Student Growth Percentiles & Percentile Growth Trajectories.

R Development Core Team (2016). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 3-900051-07-0.