search for: perspicacity

...ller <jdnewmil at dcn.davis.ca.us> wrote: >> >> x["V2"] >> >> is more efficient than using drop=FALSE, and perfectly normal syntax >> (data frames are lists of columns). > > <SNIP> > > I never cease to be amazed by the sagacity and perspicacity of the > designers of R. I would have worried that x["V2"] would turn out to be > a *list* (of length 1), but no, it retains the data.frame class, which > is clearly the Right Thing To Do. > > cheers, > > Rolf > > -- > Honorary Research Fellow > Depa...

...machine? I have also tried using win.metafile on the Windows machine and the quality looks the same as the png. The obvious solution would be to just use the Mac, but that's not an option in the office! I have been searching the archives on this topic to no avail (although I can vouch for the perspicacity of my choice of search terms), so any help would be greatly appreciated! Regards, Sean. -- Sean Carmody The Stubborn Mule http://www.stubbornmule.net http://twitter.com/seancarmody

Dear all, I would like to know how I could run my dongle wifi TP-Link (Ref: TL-WDN4200, version 1) under Centos 6.5 (Final). Should I create by myself the corresponding driver or does exist another way? When I ran lsusb I got: Ralink Technology RT3573 Wireless Adapter Thanks for your help. Regards, Eric

Dear Akemi, Thanks for the links. I will try. Regards, Eric --- Message initial --- De : "Akemi Yagi" <amyagi at gmail.com> Envoy? : 26 ao?t 2014 23:24 A : "CentOS mailing list" <centos at centos.org> Objet : Re: [CentOS] Installation of dongle wifi (TP-Link: TL-WDN4200) under Centos 6.5 (Final) On Tue, Aug 26, 2014 at 2:15 PM, Akemi Yagi <amyagi at

x["V2"] is more efficient than using drop=FALSE, and perfectly normal syntax (data frames are lists of columns). I would ignore the naysayers, or put a comment in if you want to accelerate their uptake. As I understand it, one of the main reasons tibbles exist is because of drop=TRUE. List-slice (single-dimension) indexing works equally well with both standard and tibble types of data