I would argue examples should encourage good practice. Beginners ought to learn to keep data in data frames and not to overuse attach(). Experts can do otherwise at their own risk, but they have less need of explicit examples.
On Fri, 14 Dec 2018 at 14:51, S Ellison <s.elli...@lgcgroup.com> wrote: > FWIW, before all the examples are changed to data frame variants, I think > there's fairly good reason to have at least _one_ example that does _not_ > place variables in a data frame. > > The data argument in lm() is optional. And there is more than one way to > manage data in a project. I personally don't much like lots of stray > variables lurking about, but if those are the only variables out there and > we can be sure they aren't affected by other code, it's hardly essential to > create a data frame to hold something you already have. > Also, attach() is still part of R, for those folk who have a data frame > but want to reference the contents across a wider range of functions > without using with() a lot. lm() can reasonably omit the data argument > there, too. > > So while there are good reasons to use data frames, there are also good > reasons to provide examples that don't. > > Steve Ellison > > > > -----Original Message----- > > From: R-devel [mailto:r-devel-boun...@r-project.org] On Behalf Of Ben > > Bolker > > Sent: 13 December 2018 20:36 > > To: r-devel@r-project.org > > Subject: Re: [Rd] Documentation examples for lm and glm > > > > > > Agree. Or just create the data frame with those variables in it > > directly ... > > > > On 2018-12-13 3:26 p.m., Thomas Yee wrote: > > > Hello, > > > > > > something that has been on my mind for a decade or two has > > > been the examples for lm() and glm(). They encourage poor style > > > because of mismanagement of data frames. Also, having the > > > variables in a data frame means that predict() > > > is more likely to work properly. > > > > > > For lm(), the variables should be put into a data frame. > > > As 2 vectors are assigned first in the general workspace they > > > should be deleted afterwards. > > > > > > For the glm(), the data frame d.AD is constructed but not used. Also, > > > its 3 components were assigned first in the general workspace, so they > > > float around dangerously afterwards like in the lm() example. > > > > > > Rather than attached improved .Rd files here, they are put at > > > www.stat.auckland.ac.nz/~yee/Rdfiles > > > You are welcome to use them! > > > > > > Best, > > > > > > Thomas > > > > > > ______________________________________________ > > > 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 > > > ******************************************************************* > This email and any attachments are confidential. Any u...{{dropped:12}} ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
