base
and maxEff
arguments.plotModels(models, doses, base = 0, maxEff = 1, nPoints = 200,
off = 0.1 * max(doses), scal = 1.2 * max(doses),
superpose = FALSE, ylab = "Model means",
xlab = "Dose", ...)
base
,
maxEff
, off
and scal
are ignored.xyplot
call.guesst
, fullMod
# JBS example
doses <- c(0,10,25,50,100,150)
models <- list(linear = NULL, emax = c(25),
logistic = c(50, 10.88111), exponential = c(85),
betaMod = matrix(c(0.33, 2.31, 1.39, 1.39),
byrow=TRUE, nrow=2))
plotModels(models, doses, base = 0, maxEff = 0.4, scal = 200)
# all models in one panel
plotModels(models, doses, base = 0, maxEff = 0.4, scal = 200,
superpose = TRUE)
# plotModels can also be called using a fullMod object
fM <- fullMod(models, doses, base = 0, maxEff = 0.4, scal = 200)
plotModels(fM)
# or even easier
plot(fM)
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