try the code below,
if you use different upper and lower limits you might get different parameter
estimates
HTH, Victor
standard.curve<-data.frame(conc=c(50, 25, 12.5, 6.25, 3.125, 1.563, 0.781,50,
25, 12.5, 6.25, 3.125, 1.563, 0.781),absorb=c(1.918, 1.251, 1.104, 0.719,
0.403, 0.177, 0.083,1.9
Hi,
I decided to use the drm function for four point fitting and in the all the
examples that i see
spinach.m1 <- drm(SLOPE~DOSE, CURVE, data = spinach, fct = LL.4())
fit1 <- drm(wheeze~p(age>9)+smoking+cluster(id),data=wheeze,dep="B",
print=0)
what are these with '~' mean?
This is my data
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