Pharmacokinetics of Cefamandole

Description

The Cefamandole data frame has 84 rows and 3 columns.

Format

This data frame contains the following columns:

Subject

a factor giving the subject from which the sample was drawn.

Time

a numeric vector giving the time at which the sample was drawn (minutes post-injection).

conc

a numeric vector giving the observed plasma concentration of cefamandole (mcg/ml).

Details

Davidian and Giltinan (1995, 1.1, p. 2) describe data obtained during a pilot study to investigate the pharmacokinetics of the drug cefamandole. Plasma concentrations of the drug were measured on six healthy volunteers at 14 time points following an intraveneous dose of 15 mg/kg body weight of cefamandole.

Source

Pinheiro, J. C. and Bates, D. M. (2000), Mixed-Effects Models in S and S-PLUS, Springer, New York. (Appendix A.4)

Davidian, M. and Giltinan, D. M. (1995), Nonlinear Models for Repeated Measurement Data, Chapman and Hall, London.

Examples

require(lattice)
str(Cefamandole)
xyplot(conc ~ Time, Cefamandole, groups = Subject, type = c("g", "b"),
       aspect = 'xy', scales = list(y = list(log = 2)),
       auto.key = list(space = "right", lines= TRUE))
xyplot(conc ~ Time|Subject, Cefamandole, type = c("g", "b"),
       index.cond = function(x,y) min(y), aspect = 'xy',
       scales = list(y = list(log = 2)))
#fm1 <- nlsList(SSbiexp, data = Cefamandole)

Results

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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/Cefamandole.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Cefamandole
> ### Title: Pharmacokinetics of Cefamandole
> ### Aliases: Cefamandole
> ### Keywords: datasets
> 
> ### ** Examples
> 
> require(lattice)
Loading required package: lattice
> str(Cefamandole)
'data.frame':	84 obs. of  3 variables:
 $ Subject: Factor w/ 6 levels "A","B","C","D",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ Time   : num  10 15 20 30 45 60 75 90 120 150 ...
 $ conc   : num  127 80 47.4 39.9 24.8 17.9 11.7 10.9 5.7 2.55 ...
> xyplot(conc ~ Time, Cefamandole, groups = Subject, type = c("g", "b"),
+        aspect = 'xy', scales = list(y = list(log = 2)),
+        auto.key = list(space = "right", lines= TRUE))
> xyplot(conc ~ Time|Subject, Cefamandole, type = c("g", "b"),
+        index.cond = function(x,y) min(y), aspect = 'xy',
+        scales = list(y = list(log = 2)))
> #fm1 <- nlsList(SSbiexp, data = Cefamandole)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>