EVOLUTION-MANAGER
Edit File: Loblolly.html
<!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: Growth of Loblolly pine trees</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 Loblolly {datasets}"><tr><td>Loblolly {datasets}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Growth of Loblolly pine trees</h2> <h3>Description</h3> <p>The <code>Loblolly</code> data frame has 84 rows and 3 columns of records of the growth of Loblolly pine trees. </p> <h3>Usage</h3> <pre>Loblolly</pre> <h3>Format</h3> <p>An object of class <code>c("nfnGroupedData", "nfGroupedData", "groupedData", "data.frame")</code> containing the following columns: </p> <dl> <dt>height</dt><dd> <p>a numeric vector of tree heights (ft). </p> </dd> <dt>age</dt><dd> <p>a numeric vector of tree ages (yr). </p> </dd> <dt>Seed</dt><dd> <p>an ordered factor indicating the seed source for the tree. The ordering is according to increasing maximum height. </p> </dd> </dl> <h3>Details</h3> <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>Kung, F. H. (1986), Fitting logistic growth curve with predetermined carrying capacity, in <em>Proceedings of the Statistical Computing Section, American Statistical Association</em>, 340–343. </p> <p>Pinheiro, J. C. and Bates, D. M. (2000) <em>Mixed-effects Models in S and S-PLUS</em>, Springer. </p> <h3>Examples</h3> <pre> require(stats); require(graphics) plot(height ~ age, data = Loblolly, subset = Seed == 329, xlab = "Tree age (yr)", las = 1, ylab = "Tree height (ft)", main = "Loblolly data and fitted curve (Seed 329 only)") fm1 <- nls(height ~ SSasymp(age, Asym, R0, lrc), data = Loblolly, subset = Seed == 329) age <- seq(0, 30, length.out = 101) lines(age, predict(fm1, list(age = age))) </pre> <hr /><div style="text-align: center;">[Package <em>datasets</em> version 3.6.0 <a href="00Index.html">Index</a>]</div> </body></html>