# NOT RUN {
# }
# NOT RUN {
adm <- list(time=c(2,14,20), amount=40)
p <- c(V=8, Cl=0.5,k12=0.3, k21=0.2)
t <- seq(0, 30, by=0.1)
res <- pkmodel(time = t, treatment = adm, parameter = p)
print(ggplot(data=res, aes(x=time, y=cc)) + geom_line(size=1) +
xlab("time (h)") + ylab("concentration (mg/L)"))
adm <- list(time = c(1,23,37,45), amount = c(1,0.5,2,0.3))
p <- c(Mtt=5, Ktr=1, ka=0.5, V=10, Vm=1, Km=0.6, p=0.5)
t <- seq(0, 80, by=0.1)
res <- pkmodel(t,adm,p)
print(ggplot(data=res, aes(x=time, y=cc)) + geom_line(size=1) +
xlab("time (h)") + ylab("concentration (mg/L)"))
adm <- list( time = 2, amount = 40)
p <- inlineDataFrame("
id ka V Cl
1 0.5 4 1
2 1 6 1
3 1.5 6 1.5
")
t <- seq(0, 30, by=0.1)
res <- pkmodel(t,adm,p)
print(ggplot(data=res, aes(x=time, y=cc, colour=id)) + geom_line(size=1) +
xlab("time (h)") + ylab("concentration (mg/L)"))
adm <- list(time=seq(2, 100, by=24), amount=40, rate=5)
p <- c(V=8, Cl=0.5, k12=0.3, k21=0.2, ke0=0.2)
t <- seq(0, 50, by=0.1)
res <- pkmodel(t,adm,p)
if( require("reshape2") ){
r <- melt(res, id='time', variable.name='c')
print(ggplot(r, aes(time,value)) + geom_line(aes(colour = c),size=1) +
ylab('concentration') + guides(colour=guide_legend(title=NULL)) +
theme(legend.position=c(.9, .8)))
}
# }
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