search for: residus

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2005 Nov 13
4
Robust Non-linear Regression
...www.graphpad.com/articles/RobustNonlinearRegression_files/frame.htm <http://www.graphpad.com/articles/RobustNonlinearRegression_files/frame.htm> in short: instead of using the premise that the residuals are gaussian they propose a Lorentzian distribution, in stead of minimizing the squared residus SUM (Y-Yhat)^2, the objective function is now SUM log(1+(Y-Yhat)^2/ RobustSD) where RobustSD is the 68th percentile of the absolute value of the residues my question is: is there a smart and elegant way to change to objective function from squared Distance to log(1+D^2/Rsd^2) ? or alternative...
2002 Jul 02
1
subscript out of bounds
...rstand where I'm wrong because the functions in MyStuff individually work well when I just paste them from my editor. Thanks for any help Fred Linux debian potato R 1.5.0 here below, the file MyStuff ----------------------------- "adjresid" <- function(tab) { # calcul des residus normes sur un tableau de contingence # adjusted Pearson residuals # Brett Presnell <presnell at stat.ufl.edu> # tot <- sum(tab) rp <- apply(tab, 1, sum) / tot cp <- apply(tab, 2, sum) / tot mu <- tot * ( rp %o% cp ) norm(tab - mu) / sqrt( mu * ( (1 - rp) %o...