What is Data SGP?

Data Sgp

The SGP package is a collection of classes, functions and data that are used to calculate student growth percentiles and percentile growth projections/trajectories using large scale, longitudinal education assessment data. The class for calculating growth percentiles uses quantile regression to estimate the conditional density associated with each student’s achievement history and then generates the growth trajectory needed to reach future achievement targets.

In order to use the SGP package, you will need a computer with R installed. R is a free software environment that can be installed on many operating systems including Windows, OSX and Linux. Running SGP analyses requires familiarity with the use of R, so it is recommended that you spend some time familiarizing yourself with the software before you begin to use the SGP package.

If you are interested in learning more about the SGP package, visit the SGP Documentation page for a detailed description of the classes, functions and data provided by this package. The SGP documentation also provides information about how to install the SGP package and some examples of SGP analyses.

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SGP has been developed to run on most popular operating systems and platforms. The software is distributed as open source under the terms of the GNU General Public License and is therefore free for all to use. The code is constantly being updated, and bug fixes are released as soon as possible. To report bugs, please see the SGP Bug Tracker.

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