Cefamandole {MEMSS} | R Documentation |
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)