You need to combine all the data into one set and add another
variable, call it "dataset," with values 1 and 2. Then you can fit a
model to this **one combined" dataset that has an additive term for
"dataset," and, if you care to, test it for significance. However, as
usual, that probably will not
Hi all:
I have two curve models:
model1<-nls(result ~ exp(b0 + b1*(time)), start = list(b0 = 0, b1 =
5),trace=TRUE,data=data1)
model2<-nls(result ~ exp(b0 + b1*(time)), start = list(b0 = 0, b1 =
5),trace=TRUE,data=data2)
I wanna compare the two models to find out whether the difference betwe
2 matches
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