On Dec 14, 10:33 pm, djh <halitsk...@att.net> wrote: > I have sent offline a PDF of the plots of AuqSE for N_1_a1_S and > N_2_a1_s AFTER multiplying AuqSE by sqrt of its associated N. (This > is the case we?ve been discussing in our last couple of posts as > possibly indicating a putative ?SET? effect (set 1 vs set 2) on > distribution of AuqSE over L.) Also, as you suggested in your last > post, I?ve done these new plots as true scatter plots without > connecting lines. > > Next to the N_1_a1_S and N_2_a1_S plots in the PDF, I have placed the > R_1_a1_S and R_2_a1_s plots for comparison, and also the N_1_a1_C and > N_2_a1_C plots. All four of these additional plots were also computed > with the sqrt(N) multiplier. > > After looking at the PDF, please let me know at your earliest > convenience whether you agree with the following: > > i) the switch from N_1 to N_2 STILL tightens the a1_S AuqSE > distribution at higher values of L, even after multiplication of SE by > sqrt(N) (so the effect is presumably NOT a sample-size artifact.) > > ii) the switch from R_1 to R_2 does NOT tighten the a1_S AuqSE > distribtion at higher vslues of L; > > iii) the switch from N_1 to N_2 does NOT tighten the a1_C AugSE > distribution at higher values of L. > > If you do agree with (i-iii), then I have to start again and, as > above, present you with all N_1_S v N_2_S plots side-side-by-side with > the corresponding R_1_S and R_2_S plots and the corresponding N_1_C vs > N_2_C plots. (Any other choice of presentation would make it > necessasry to shuffle too many sheets of paper (or windows) to see the > presence/absence of the critical effect.) In addition, I have to > regenerate the same n-tuples of plots with N_1 replaced by N_3 and R1 > replaced by R3 throughout. > > BUT, as per your instruction to work downwards from the most complex > regression, I will start with the plots for AubqeSE and AubquSE (the > SE?s of the average slopes for the regression of c on (e,u,u*e,u^2).
I agree with i,ii,iii. But I would do the SEP plots before doing the AubqeSE & AubquSE plots. SEP is a structural parameter, but AubqeSE & AubquSE depend on both SEP and the bivariate distribution of e & u in your sample.
> > I don?t know how to thank you beyond my usual expressions of gratitude > ? we MAY have reached ?critical mass? here with respect to data that > not only legitimize our linear regressions as generators of predictors > for our logistic regressions, but also support a very SIMPLE > evolutionary hypothesis regarding the role of the S subsets of our > three nonrandom dicodon sets in the evolution of protein messages and > the structures arising therefrom. > > Finally, I will be talking to Arthur Lesk this week-end about a1 > hemoglobin structure, so ?for the record?, please note the change in > the distribution of AuqSe at N_1_a1_S and N_2_a1_S somewhere between > 60 < =L <= 80. If my memory of hemoglobin structure is still intact, > it is no accident we?re seeing a change in the distribution of AuqSE > within this length interval.