The Dialyzer data frame has 140 rows and 5 columns.
This data frame contains the following columns:
an ordered factor with levels
10 < 8 < 2 < 6 < 3 <
5 < 9 < 7 < 1 < 4 <
17 < 20 < 11 < 12 < 16 <
13 < 14 < 18 < 15 < 19
giving the unique identifier for each subject
a factor with levels
200 and
300 giving the bovine blood flow rate (dL/min).
a numeric vector giving the transmembrane pressure (dmHg).
the hemodialyzer ultrafiltration rate (mL/hr).
index of observation within subject---1 through 7.
Vonesh and Carter (1992) describe data measured on high-flux hemodialyzers to assess their in vivo ultrafiltration characteristics. The ultrafiltration rates (in mL/hr) of 20 high-flux dialyzers were measured at seven different transmembrane pressures (in dmHg). The in vitro 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).