Joachim Audenaert <Joachim.Audenaert <at> pcsierteelt.be> writes:
> > Hello all, > > I am estimating parameters for regression functions on experimental data. > Functional response of Rogers type II. > > I would like to know which points of my dataset are outliers. What is the > best method to do this with R? The best method for detecting outliers really depends on the motivation/purpose. Your data look noisy, but by eye nothing really jumps out. Looking at a histogram (hist()) and Q-Q plot qqnorm() of the residuals of the fit, it looks like the distribution is slightly skewed but that there are no points that really fall very far outside a normal distribution (normality is not a necessity for making inferences from an nls fit, but it helps a lot) ______________________________________________ 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.
