Hi Jim, thank you for your help. :)
My point is, that there are outlier and I don´t really know how to deal with that. I need the dataframe for a regression and read often that only a few outlier can change your results very much. In addition, regression diacnostics didn´t indcate me the best results. Yes, and I know its not the core of statistics to work in a way you get results you would like to have ;). So what is your suggestion? And if I remove the outliers, my problem ist, that as you said, they differ in length. I need the data frame for a regression, so can I remove the whole column or is there a call to exclude the data? JULI -- View this message in context: http://r.789695.n4.nabble.com/removing-outlier-tp4712137p4712170.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
