Dialyzer {lme4} | R Documentation

## High-Flux Hemodialyzer

### Description

The `Dialyzer` data frame has 140 rows and 5 columns.

### Format

This data frame contains the following columns:

Subject
  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
QB
  a factor with levels `200` and `300` giving the bovine blood flow rate (dL/min).
pressure
  a numeric vector giving 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

    data(Dialyzer)

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