[Rd] Regression stars
ravi.varadhan at jhu.edu
Tue Feb 12 15:54:50 CET 2013
I think that we should use P < .03 (which approximates the probability of 5 consecutive heads) for assigning significance!
From: r-devel-bounces at r-project.org [mailto:r-devel-bounces at r-project.org] On Behalf Of Frank Harrell
Sent: Tuesday, February 12, 2013 9:43 AM
To: r-devel at 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.
Uwe Ligges-3 wrote
> On 12.02.2013 14:54, Ben Bolker wrote:
>> Duncan Murdoch
> <murdoch.duncan <at>
> gmail.com> writes:
>>> 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?
> 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.
>>> 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"]
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Department of Biostatistics, Vanderbilt University
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