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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: Pharmacokinetics of Theophylline</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 Theoph {datasets}"><tr><td>Theoph {datasets}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Pharmacokinetics of Theophylline</h2> <h3>Description</h3> <p>The <code>Theoph</code> data frame has 132 rows and 5 columns of data from an experiment on the pharmacokinetics of theophylline.</p> <h3>Usage</h3> <pre>Theoph</pre> <h3>Format</h3> <p>An object of class <code>c("nfnGroupedData", "nfGroupedData", "groupedData", "data.frame")</code> containing the following columns: </p> <dl> <dt>Subject</dt><dd> <p>an ordered factor with levels <code>1</code>, ..., <code>12</code> identifying the subject on whom the observation was made. The ordering is by increasing maximum concentration of theophylline observed. </p> </dd> <dt>Wt</dt><dd> <p>weight of the subject (kg). </p> </dd> <dt>Dose</dt><dd> <p>dose of theophylline administered orally to the subject (mg/kg). </p> </dd> <dt>Time</dt><dd> <p>time since drug administration when the sample was drawn (hr). </p> </dd> <dt>conc</dt><dd> <p>theophylline concentration in the sample (mg/L). </p> </dd> </dl> <h3>Details</h3> <p>Boeckmann, Sheiner and Beal (1994) report data from a study by Dr. Robert Upton of the kinetics of the anti-asthmatic drug theophylline. Twelve subjects were given oral doses of theophylline then serum concentrations were measured at 11 time points over the next 25 hours. </p> <p>These data are analyzed in Davidian and Giltinan (1995) and Pinheiro and Bates (2000) using a two-compartment open pharmacokinetic model, for which a self-starting model function, <code>SSfol</code>, is available. </p> <p>This dataset was originally part of package <code>nlme</code>, and that has methods (including for <code>[</code>, <code>as.data.frame</code>, <code>plot</code> and <code>print</code>) for its grouped-data classes. </p> <h3>Source</h3> <p>Boeckmann, A. J., Sheiner, L. B. and Beal, S. L. (1994), <em>NONMEM Users Guide: Part V</em>, NONMEM Project Group, University of California, San Francisco. </p> <p>Davidian, M. and Giltinan, D. M. (1995) <em>Nonlinear Models for Repeated Measurement Data</em>, Chapman & Hall (section 5.5, p. 145 and section 6.6, p. 176) </p> <p>Pinheiro, J. C. and Bates, D. M. (2000) <em>Mixed-effects Models in S and S-PLUS</em>, Springer (Appendix A.29) </p> <h3>See Also</h3> <p><code><a href="../../stats/html/SSfol.html">SSfol</a></code></p> <h3>Examples</h3> <pre> require(stats); require(graphics) coplot(conc ~ Time | Subject, data = Theoph, show.given = FALSE) Theoph.4 <- subset(Theoph, Subject == 4) fm1 <- nls(conc ~ SSfol(Dose, Time, lKe, lKa, lCl), data = Theoph.4) summary(fm1) plot(conc ~ Time, data = Theoph.4, xlab = "Time since drug administration (hr)", ylab = "Theophylline concentration (mg/L)", main = "Observed concentrations and fitted model", sub = "Theophylline data - Subject 4 only", las = 1, col = 4) xvals <- seq(0, par("usr")[2], length.out = 55) lines(xvals, predict(fm1, newdata = list(Time = xvals)), col = 4) </pre> <hr /><div style="text-align: center;">[Package <em>datasets</em> version 3.6.0 <a href="00Index.html">Index</a>]</div> </body></html>