EVOLUTION-MANAGER
Edit File: DNase.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: Elisa assay of DNase</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 DNase {datasets}"><tr><td>DNase {datasets}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Elisa assay of DNase</h2> <h3>Description</h3> <p>The <code>DNase</code> data frame has 176 rows and 3 columns of data obtained during development of an ELISA assay for the recombinant protein DNase in rat serum. </p> <h3>Usage</h3> <pre>DNase</pre> <h3>Format</h3> <p>An object of class <code>c("nfnGroupedData", "nfGroupedData", "groupedData", "data.frame")</code> containing the following columns: </p> <dl> <dt>Run</dt><dd> <p>an ordered factor with levels <code>10</code> < ... < <code>3</code> indicating the assay run. </p> </dd> <dt>conc</dt><dd> <p>a numeric vector giving the known concentration of the protein. </p> </dd> <dt>density</dt><dd> <p>a numeric vector giving the measured optical density (dimensionless) in the assay. Duplicate optical density measurements were obtained. </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>Davidian, M. and Giltinan, D. M. (1995) <em>Nonlinear Models for Repeated Measurement Data</em>, Chapman & Hall (section 5.2.4, p. 134) </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) coplot(density ~ conc | Run, data = DNase, show.given = FALSE, type = "b") coplot(density ~ log(conc) | Run, data = DNase, show.given = FALSE, type = "b") ## fit a representative run fm1 <- nls(density ~ SSlogis( log(conc), Asym, xmid, scal ), data = DNase, subset = Run == 1) ## compare with a four-parameter logistic fm2 <- nls(density ~ SSfpl( log(conc), A, B, xmid, scal ), data = DNase, subset = Run == 1) summary(fm2) anova(fm1, fm2) </pre> <hr /><div style="text-align: center;">[Package <em>datasets</em> version 3.6.0 <a href="00Index.html">Index</a>]</div> </body></html>