I want to fit discrete data that was measured on a wavegenerator. In this minimal example i generate some artificial data:
testsin <- 2+ 5 * sin(1:100) #generate sin data testsin <- testsin+ rnorm(length(testsin), sd = 0.01) #add noise mydata <- list(X=1:100, Y=testsin) # generate mydata object nlmod <- nls(X ~ A+B*sin(C* Y), data=mydata, start=list(A=2, B=4, C=1), trace=TRUE) # this nls fit fails. Who can help me to fit this type of data? Kind regards, -- Jonas Stein <n...@jonasstein.de> ______________________________________________ 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.
