I have a question about running an optimization function on an existing LOESS function defined in R. I have a very large dataset (1 million observations) and have run a LOESS regression. Now, I want to run a Newton-Raphson optimization to determine the point at which the slope change is the greatest.
I am relatively new to R and have tried several permutations of the maxNR and nlm functions with no success. For example, I used the nlm function as follows: LOESS <- loess(Y ~ X) optim <- nlm(function(x) LOESS(x))... However, this doesn't seem to work. In the examples I see online, the function in nlm and maxNR are user defined, instead of the output of another function (i.e., my LOESS regression). Is it possible to run this type of optimization function on my Loess function? Thanks in advance for your help. -- View this message in context: http://r.789695.n4.nabble.com/LOESS-function-Newton-optimization-tp3663847p3663847.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.
