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 conc il10 1 50.000 1.918 2 25.000 1.251 3 12.500 1.104 4 6.250 0.719 5 3.125 0.403 6 1.563 0.177 7 0.781 0.083 I am trying to find the co-efficients for it. The co-eff that i am expecting is A = -0.457, B = 0.412, C = 915, D = 9.56 Any suggestions would be appreciated. -- View this message in context: http://r.789695.n4.nabble.com/Four-paramete-logistics-tp3265251p3265598.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.