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lr236007

Discovered public repositories for lr236007 in the GitHub catalog.

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lr236007/spida

R package collection of tools for hierarchical and longitudinal data analysis

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lr236007/SGP

Functions to calculate student growth percentiles and percentile growth projections/trajectories for students using large scale, longitudinal assessment data. Functions use quantile regression to estimate the conditional density 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 what percentile growth is required for students to reach future achievement targets. SystemRequirements: (PDF)LaTeX (http://www.latex-project.org/) with pdfpages package for studentGrowthPlot option in visualizeSGP to bind together student growth plots into school catalogs.

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lr236007/d3-book

Sample code files to accompany the book “Interactive Data Visualization for the Web”

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