EVOLUTION-MANAGER
Edit File: Dialyzer.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: High-Flux Hemodialyzer</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 Dialyzer {nlme}"><tr><td>Dialyzer {nlme}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>High-Flux Hemodialyzer</h2> <h3>Description</h3> <p>The <code>Dialyzer</code> data frame has 140 rows and 5 columns. </p> <h3>Format</h3> <p>This data frame contains the following columns: </p> <dl> <dt>Subject</dt><dd> <p>an ordered factor with levels <code>10</code> < <code>8</code> < <code>2</code> < <code>6</code> < <code>3</code> < <code>5</code> < <code>9</code> < <code>7</code> < <code>1</code> < <code>4</code> < <code>17</code> < <code>20</code> < <code>11</code> < <code>12</code> < <code>16</code> < <code>13</code> < <code>14</code> < <code>18</code> < <code>15</code> < <code>19</code> giving the unique identifier for each subject </p> </dd> <dt>QB</dt><dd> <p>a factor with levels <code>200</code> and <code>300</code> giving the bovine blood flow rate (dL/min). </p> </dd> <dt>pressure</dt><dd> <p>a numeric vector giving the transmembrane pressure (dmHg). </p> </dd> <dt>rate</dt><dd> <p>the hemodialyzer ultrafiltration rate (mL/hr). </p> </dd> <dt>index</dt><dd> <p>index of observation within subject—1 through 7. </p> </dd> </dl> <h3>Details</h3> <p>Vonesh and Carter (1992) describe data measured on high-flux hemodialyzers to assess their <em>in vivo</em> ultrafiltration characteristics. The ultrafiltration rates (in mL/hr) of 20 high-flux dialyzers were measured at seven different transmembrane pressures (in dmHg). The <em>in vitro</em> evaluation of the dialyzers used bovine blood at flow rates of either 200~dl/min or 300~dl/min. The data, are also analyzed in Littell, Milliken, Stroup, and Wolfinger (1996). </p> <h3>Source</h3> <p>Pinheiro, J. C. and Bates, D. M. (2000), <em>Mixed-Effects Models in S and S-PLUS</em>, Springer, New York. (Appendix A.6) </p> <p>Vonesh, E. F. and Carter, R. L. (1992), Mixed-effects nonlinear regression for unbalanced repeated measures, <em>Biometrics</em>, <b>48</b>, 1-18. </p> <p>Littell, R. C., Milliken, G. A., Stroup, W. W. and Wolfinger, R. D. (1996), <em>SAS System for Mixed Models</em>, SAS Institute, Cary, NC. </p> <hr /><div style="text-align: center;">[Package <em>nlme</em> version 3.1-139 <a href="00Index.html">Index</a>]</div> </body></html>