On 06 Nov 2014, at 23:45 , Uwe Ligges <lig...@statistik.tu-dortmund.de> wrote:
> > > On 06.11.2014 23:41, Gábor Csárdi wrote: >> On Thu, Nov 6, 2014 at 5:36 PM, Uwe Ligges >> <lig...@statistik.tu-dortmund.de> wrote: >> [...] >>>> quick question. How does one know which R versions r-release >>> >>> >>> The latest official release, i.e. currently R-3.1.2. >> >> Thanks! >> >> How does one know what is the latest official release? Is parsing the >> R homepage the best way to determine it? > > I'd say yes. > >> Or the latest tarball? Or can >> I use the latest R-x-y-z tag from the SVN repository? > > I assume that works. Also, /pub/R/src/base on CRAN contains: lrwxrwxrwx 1 1007 1001 18 Oct 31 09:11 R-latest.tar.gz -> R-3/R-3.1.2.tar.gz which is auto-updated on release. r-oldrel is trickier. I suppose that you are right: the most effective way is to parse the output of svn ls -v http://svn.r-project.org/R/tags Now you got me curious... this seems to do the job of finding the last release of all major.minor series: tb <- read.table(text=system("svn ls -v http://svn.r-project.org/R/tags";, intern=TRUE)) names(tb) <- c("rev","au","m","d","y.or.time", "tag") ix <- grep(x=tb$tag,pattern="^R-[0-9]+-[0-9]") tb <- tb[ix,c("rev", "tag")] v.str <- as.character(tb$tag)[order(tb$rev)] versions <- data.frame(do.call(rbind,strsplit(v.str,"[-/]+"))[,-1],stringsAsFactors=FALSE) names(versions) <- c("major","minor","patch") maj.min <- paste(versions$major,versions$minor, sep=".") maj.min <- factor(maj.min,levels=unique(maj.min)) unsplit(lapply(split(versions, maj.min),tail,1),unique(maj.min)) -pd > >> >>>> and r-oldrel >>> >>> >>> If R-x.y.z is recent, then r-oldrel corresponds to the latest "y-1" version, >>> i.e. currently R-3.0.3. >> >> So this also means that when (say) R-3.0.2 was r-release, 2.15.3 was >> r-oldrel? > > Right. > > Best, > Uwe > >> Thanks again, >> Gabor >> >>> Best, >>> Uwe Ligges > > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: pd....@cbs.dk Priv: pda...@gmail.com ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
