Nevertheless, some people try: http://www.kaggle.com/c/cause-effect-pairs
Joerg On Mon, Apr 22, 2013 at 4:31 PM, Bert Gunter <gunter.ber...@gene.com> wrote: > Inline. > > > On Mon, Apr 22, 2013 at 1:15 PM, Lorenzo Isella > <lorenzo.ise...@gmail.com> wrote: >> On Mon, 22 Apr 2013 17:27:05 +0200, Robert Baer <rb...@atsu.edu> wrote: >> >> >>> It strikes me that this is not a particularly productive approach to >>> causality, particularly in an observational setting. You would need to >>> design an experiment where you had a known manipulation of an explanatory >>> variable and studied the change in a response variable, and then, you came >>> back with the roles reversed. I don't think R or indeed any statistical >>> package can help you here. >>> >> >> I certainly agree, but here we are not planning an experiment: we have some >> data sets that were collected having something totally different in mind and >> we wonder if we can extract any info about causality from them. > > As others have said: > > (Short answer) No. > > (Long Answer) Don't be ridiculous. > > > -- Bert > > >> Cheers >> >> Lorenzo >> >> ______________________________________________ >> 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. > > > > -- > > Bert Gunter > Genentech Nonclinical Biostatistics > > Internal Contact Info: > Phone: 467-7374 > Website: > http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm > > ______________________________________________ > 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. ______________________________________________ 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.
