I think that we should use P < .03 (which approximates the probability of 5 consecutive heads) for assigning significance!
Ravi -----Original Message----- From: r-devel-boun...@r-project.org [mailto:r-devel-boun...@r-project.org] On Behalf Of Frank Harrell Sent: Tuesday, February 12, 2013 9:43 AM To: r-devel@r-project.org Subject: Re: [Rd] Regression stars Uwe I've been consulting for decades and have never once been asked for such stars. And when a clinical researcher puts a sentence in a study protocol that P<0.05 will be considered "significant" I get them to take it out. Frank Uwe Ligges-3 wrote > On 12.02.2013 14:54, Ben Bolker wrote: >> Duncan Murdoch > <murdoch.duncan <at> > gmail.com> writes: >> >> [snip] >>> >>> Regarding stringsAsFactors: I'm not going to defend keeping it as >>> is, I'll let the people who like it defend it. >> >> Would someone (anyone) like to come forward and give us a defense >> of stringsAsFactors=TRUE -- even someone who doesn't personally like >> it but would like to play devil's advocate? > > Sure: > I will have to change all my scripts, my teaching examples, my book, > and lots of code examples for research and particularly consulting jobs. > > Personally, I think having stringsAsFactors=TRUE is not too bad for > read.table() but less useful for data.frame(). > > And since you ask for the devil's advocate already, related to the > subject line: Removing stars is horrible for consulting: With all > those people from biology, medicine and other fields who even ask us > questions in term of significance stars that are obviously very common for > them. > Many of them will certainly ask us for the stars, and ask us to switch > to another software product once they do not get it from R. They may > not be interested in being taught about the advantages or > disadvantages of p-values or stars. > > There are different use cases of R, and I want to keep stars for > consulting tasks where things have to be delivered within minutes. I > am happy with or without for teaching, where I have the time and can > easily talk about the sense and nonsense of p-values. > > > Best, > Uwe > > > > > > > > > > > > > >> >>> What I will likely do is >>> make a few changes so that character vectors are automatically >>> changed to factors in modelling functions, so that operating with >>> stringsAsFactors=FALSE doesn't trigger silly warnings. >>> >>> Duncan Murdoch >>> >> >> [apologies for snipping context: "gmane made me do it"] >> >> ______________________________________________ >> > R-devel@ > mailing list >> https://stat.ethz.ch/mailman/listinfo/r-devel >> > > ______________________________________________ > R-devel@ > mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel ----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/Regression-stars-tp4657795p4658268.html Sent from the R devel mailing list archive at Nabble.com. ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel