| MM {drc} | R Documentation |
'MM' specifies the Michaelis-Menten model or the shifted Michaelis-Menten model for modelling enzyme kinetics, weed densities etc.
MM(fixed = c(NA, NA, 0), names = c("Vm", "K", "y0"))
fixed |
numeric vector. Specifies which parameters are fixed and at what value they are fixed. NAs for parameter that are not fixed. |
names |
a vector of character strings giving the names of the parameters (should not contain ":"). The order of the parameters is: Vm, K, y0 (see under 'Details'). |
The model is given by the expression
f(x) = y0 + frac{Vm x}{K + x}
It is a three-parameter model.
An object containing with all components needed in multdrc.
At the moment the implementation cannot deal with infinite concentrations.
Christian Ritz
ctl <- data.frame(list(conc=c(0,0,0), rate=c(55,60,65), state=c('ctl','ctl','ctl')))
pu <- rbind(Puromycin, ctl)
model1<-multdrc(rate~conc, state,
collapse=data.frame(state,state,1),
data=pu, fct=MM(fixed=c(NA,NA,NA)))
summary(model1)
plot(model1)
rm(ctl, pu, model1)