Description Format Details Source Examples
The Cefamandole
data frame has 84 rows and 3 columns.
This data frame contains the following columns:
a factor giving the subject from which the sample was drawn.
a numeric vector giving the time at which the sample was drawn (minutes postinjection).
a numeric vector giving the observed plasma concentration of cefamandole (mcg/ml).
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.
Pinheiro, J. C. and Bates, D. M. (2000), MixedEffects Models in S and SPLUS, Springer, New York. (Appendix A.4)
Davidian, M. and Giltinan, D. M. (1995), Nonlinear Models for Repeated Measurement Data, Chapman and Hall, London.
1 2 3 4 5 6 7 8 9  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 ~ TimeSubject, 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)

Loading required package: lme4
Loading required package: Matrix
Attaching package: 'MEMSS'
The following objects are masked from 'package:datasets':
CO2, Orange, Theoph
Loading required package: lattice
'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 ...
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