If this mailing list accepted formatted submissions I would have used the trèsModernSarcastic font for my first sentence. Failing the availability of that mode of communication I am (top) posting through Nabble (perhaps) in "Comic Sans".<br />
On Sat, Sep 12, 2015 at 9:52 AM, David Winsemius <dwinsemius@> wrote: > > On Sep 12, 2015, at 2:32 AM, Juli wrote: >> 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? > *> Most regression methods have a 'subset' parameter which would allow you to distort the data to your desired specification.* Bert Gunter-2 wrote > / > ... and this, of course, is a nice example of how statistics > contributes to the "irreproducibility crisis" now roiling Science. / > > Cheers, > Bert > > (Quote from a long ago engineering colleague: "Whenever I see an > outlier, I never know whether to throw it away or patent it.") > > > Bert Gunter > > "Data is not information. Information is not knowledge. And knowledge > is certainly not wisdom." > -- Clifford Stoll > > > On Sat, Sep 12, 2015 at 9:52 AM, David Winsemius < > dwinsemius@ > > wrote: >> >> On Sep 12, 2015, at 2:32 AM, Juli wrote: >> >>> 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? >> >> Most regression methods have a 'subset' parameter which would allow you >> to distort the data to your desired specification. But why not think >> about examining a different statistical model or using robust methods? >> That way you can keep all your data. (Sounds like you don't really have a >> lot.) >> >> -- >> David. >>> >>> 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@ > 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. >> >> David Winsemius >> Alameda, CA, USA >> >> ______________________________________________ >> > R-help@ > 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. > > ______________________________________________ > R-help@ > 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. -- View this message in context: http://r.789695.n4.nabble.com/removing-outlier-tp4712137p4712208.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.
