High-Flux Hemodialyzer

Description

The Dialyzer data frame has 140 rows and 5 columns.

Format

This data frame contains the following columns:

Subject

a factor with levels A to T

QB

a factor with levels 200 and 300 giving the bovine blood flow rate (dL/min).

pressure

the transmembrane pressure (dmHg).

rate

the hemodialyzer ultrafiltration rate (mL/hr).

index

index of observation within subject—1 through 7.

Details

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).

Source

Pinheiro, J. C. and Bates, D. M. (2000), Mixed-Effects Models in S and S-PLUS, Springer, New York. (Appendix A.6)

Vonesh, E. F. and Carter, R. L. (1992), Mixed-effects nonlinear regression for unbalanced repeated measures, Biometrics, 48, 1-18.

Littell, R. C., Milliken, G. A., Stroup, W. W. and Wolfinger, R. D. (1996), SAS System for Mixed Models, SAS Institute, Cary, NC.

Examples

str(Dialyzer)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> library(MEMSS)
Loading required package: lme4
Loading required package: Matrix

Attaching package: 'MEMSS'

The following objects are masked from 'package:datasets':

    CO2, Orange, Theoph

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/MEMSS/Dialyzer.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Dialyzer
> ### Title: High-Flux Hemodialyzer
> ### Aliases: Dialyzer
> ### Keywords: datasets
> 
> ### ** Examples
> 
> str(Dialyzer)
'data.frame':	140 obs. of  5 variables:
 $ Subject : Factor w/ 20 levels "A","B","C","D",..: 1 1 1 1 1 1 1 2 2 2 ...
 $ QB      : Factor w/ 2 levels "200","300": 1 1 1 1 1 1 1 1 1 1 ...
 $ pressure: num  0.24 0.505 0.995 1.485 2.02 ...
 $ rate    : num  0.645 20.115 38.46 44.985 51.765 ...
 $ index   : num  1 2 3 4 5 6 7 1 2 3 ...
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>