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2010 Oct 11
2
Nonlinear Regression Parameter Shared Across Multiple Data Sets
I'm working with 3 different data sets and applying this non-linear regression formula to each of them. nls(Y ~ (upper)/(1+10^(X-LOGEC50)), data=std_no_outliers, start=list(upper=max(std_no_outliers$Y),LOGEC50=-8.5)) Previously, all of the regressions were calculated in Prism, but I'd like to be able to automate the calculation process in a script, which is why I'm trying to move to
2010 Oct 15
0
nomianl response model
...strate principle, not >> tried...) >> >> 1) combine all three "data sets" into one dataframe with a column (e.g. >> dset) indicating data set (1, 2 or 3) >> >> 2) express your formula with upper as single valued and LOGEC50 as a >> vector >> inderxed by dest e.g. >> Y ~ upper/(1+10^(C-LOGEC50[dset])) >> >> 3) in the start list, make LOGEC50 a vector e.g. using -8.5 as start for >> all >> three LOGEC50 values >> start = >> list(start=list(upper=max(std_no_outliers$Y),LOGEC50=c(-8.5, -8.5, -8.5))...