Dear all, I am using the package changepoint to identify a cut-off between positive and negative values for an assay. I followed the vignette of the package and the results are replicated, so I tried with a dataset of my choice. In the assay, the positive have a value above 0.8 and the negative below 0.6, so i did: set.seed(10) my.data <- c(rnorm(100, 0.8, 0.1), rnorm(100, 0.6, 0.1)) plot(my.data) cp <- cpt.mean(my.data, method='PELT') cpts(cp) plot(cp, type='l', cpt.col='blue', xlab="Index", cpt.width=4) It is visible that the data is clearly separated in two clusters, but the algorithm did not find any change point. I tried also the other methods of the function but no change point was found. How can I fine tune the analysis to identify a change point to use as cut-off? such fine-tuning should also be generic because should be applied to any dataset. thank you L. [[alternative HTML version deleted]]