Steve, According to my calculations, the dose and the response below are correlated r=.98. As I have said since 1991, such high levels of correlation do not leave enough residual variance to calculate CR. This data is thus an invalid test of CR data. > > dose resp > 1 10 5.2 > 2 10 5.3 > 3 10 6.9 > 4 10 5.8 > 5 10 6.6 > 6 15 16.4 > 7 15 17.9 > 8 15 18.3 > 9 15 19.5 > 10 15 16.9 > 11 15 17.5 > 12 15 19.1 > 13 15 18.8 > 14 15 17.1 > 15 20 35.2 > 16 20 30.4 > 17 20 37.2 > 18 20 29.5 > 19 20 34.6 > 20 20 31.9 > 21 25 41.8 > 22 25 45.2 > 23 25 43.2 > 24 25 46.5 > 25 25 41.7
The last data set contains curvilinear data. CR is not made for such data. I am not saying transformations can not be used. I have just never done any work with them on CR. I will have to do some simulations before knowing what to make of it. I am particularly concerned about how you calculate the residuals with this nonlinear data. Can you imagine what people would say if you tried to test other statistics with such small data sets? Please try to find some data that fits the assumptions. Bill . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
