Hi, if Soren is right, why not take a look on the identify help page?
Christian On Mon, 8 Aug 2005, Søren Højsgaard wrote: > Perhaps what Alessandro is after is simpler than that: Making a plot of data > in a data frame, being able to click on 'suspicious points', getting the > corresponding rows of a data out in a new data frame (for further inspection) > while keeping the 'good points' in the plot (and perhaps redoing some > calculations on the basis of the good points only....). This could then go on > in an iterative way. That would be a perfectly sensible thing to do. How > difficult it is technically I don't know, but it seems that it would require > a call-back mechanism from a plot window to R (and a more 'advanced' one than > provided by 'locator()'). > > Best regards > Søren > > -----Oprindelig meddelelse----- > Fra: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] På vegne af Christian Hennig > Sendt: 8. august 2005 14:45 > Til: alessandro carletti > Cc: rHELP > Emne: Re: [R] selecting outliers > > Hi Alessandro, > > On Mon, 8 Aug 2005, alessandro carletti wrote: > > > Hi everybody, > > I'd like to know if there's an easy way for extracting outliers record > > from a dataset, in order to perform further analysis on them. > > The answer is "no". The reasons are not technical. There are some quite easy > outlier detection approaches around (e.g., compute robust Mahalanobis > distances with cov.mcd/mahalanobis and call the points with too large > distances "outliers"). > But the main problem is that the term outlier has no objective, unique > meaning. It depends crucially on your aims and on the assumptions you want to > make about the non-outliers in the dataset (which should be elliptically > distributed and homogeneously close to a multivariate normal distribution for > the Mahalanobis approach). > > Best, > Christian > > *** NEW ADDRESS! *** > Christian Hennig > University College London, Department of Statistical Science Gower St., > London WC1E 6BT, phone +44 207 679 1698 [EMAIL PROTECTED], > www.homepages.ucl.ac.uk/~ucakche > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > *** NEW ADDRESS! *** Christian Hennig University College London, Department of Statistical Science Gower St., London WC1E 6BT, phone +44 207 679 1698 [EMAIL PROTECTED], www.homepages.ucl.ac.uk/~ucakche ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
