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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Eighth-Grade Pupils in the Netherlands</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <link rel="stylesheet" type="text/css" href="R.css" /> </head><body> <table width="100%" summary="page for nlschools {MASS}"><tr><td>nlschools {MASS}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2> Eighth-Grade Pupils in the Netherlands </h2> <h3>Description</h3> <p>Snijders and Bosker (1999) use as a running example a study of 2287 eighth-grade pupils (aged about 11) in 132 classes in 131 schools in the Netherlands. Only the variables used in our examples are supplied. </p> <h3>Usage</h3> <pre> nlschools </pre> <h3>Format</h3> <p>This data frame contains 2287 rows and the following columns: </p> <dl> <dt><code>lang</code></dt><dd> <p>language test score. </p> </dd> <dt><code>IQ</code></dt><dd> <p>verbal IQ. </p> </dd> <dt><code>class</code></dt><dd> <p>class ID. </p> </dd> <dt><code>GS</code></dt><dd> <p>class size: number of eighth-grade pupils recorded in the class (there may be others: see <code>COMB</code>, and some may have been omitted with missing values). </p> </dd> <dt><code>SES</code></dt><dd> <p>social-economic status of pupil's family. </p> </dd> <dt><code>COMB</code></dt><dd> <p>were the pupils taught in a multi-grade class (<code>0/1</code>)? Classes which contained pupils from grades 7 and 8 are coded <code>1</code>, but only eighth-graders were tested. </p> </dd> </dl> <h3>Source</h3> <p>Snijders, T. A. B. and Bosker, R. J. (1999) <em>Multilevel Analysis. An Introduction to Basic and Advanced Multilevel Modelling.</em> London: Sage. </p> <h3>References</h3> <p>Venables, W. N. and Ripley, B. D. (2002) <em>Modern Applied Statistics with S.</em> Fourth edition. Springer. </p> <h3>Examples</h3> <pre> nl1 <- within(nlschools, { IQave <- tapply(IQ, class, mean)[as.character(class)] IQ <- IQ - IQave }) cen <- c("IQ", "IQave", "SES") nl1[cen] <- scale(nl1[cen], center = TRUE, scale = FALSE) nl.lme <- nlme::lme(lang ~ IQ*COMB + IQave + SES, random = ~ IQ | class, data = nl1) summary(nl.lme) </pre> <hr /><div style="text-align: center;">[Package <em>MASS</em> version 7.3-51.4 <a href="00Index.html">Index</a>]</div> </body></html>