The standard advice is to use a separate library for packages you install.
R '2.60' is a long way off, so I am unable to predict what the advice
will
be if it ever comes out.
Currently you can do
tmp <- installed.packages()
inst <- as.vector(tmp[is.na(tmp[,"Priority"]), 1])
save(inst, file="/tmp/inst.rda")
in the old version to get a list of packages you installed. Then in the
new version,
load("/tmp/inst.rda")
install.packages(inst)
If you have created a personal or site library, the latter will use that
for installation: next time around all you need to do is to copy that
library to the new version and issue
update.packages(checkBuilt=TRUE)
On Sun, 7 Oct 2007, Jon Loehrke wrote:
>
> I am 100% positive there is a better fix for this problem and it has been
> discussed. Thank you in advance for bringing it to my attention.
>
> When upgrading to newer versions of R the old packages are not brought
> along in the process. I solved that problem by creating a list of the
> packages in the old version of R, importing them to the new version via a
> CSV, and re-installing into the newer R directory. The script is below.
>
> Is there a more efficient way to do this? Should I simply attempt to drag
> the package folders from the old directory to the new one? Thanks
No, as they should be reinstalled for a new version of R.
> ## in old version of R<2.6
>
> package<-c(library())
> write.csv(package$results, file="file path/oldpackages.csv")
>
>
> ##** Update R or open updated R version (R=2.60)
>
> package.list<-read.csv(file="file path/oldpackages.csv",
header=TRUE)
>
> package.list$Package<-as.character(package.list$Package)
>
> install.packages(c(package.list$Package)) #wait awhile and ignore errors
> for base packages.
>
>
> system: Mac powerbook intel duo. Latest OS R 2.60 [now, thanks to
> everyone involved]
>
>
>
> Jon Loehrke
> Fisheries Graduate Research Assistant
> School for Marine Science and Technology
> UMASS-Dartmouth
> 838 S. Rodney French Blvd.
> New Bedford, MA 02744
> Phone: 508-910-6393
> Fax: 508-910-6396
>
> "Opportunity is missed by most people because it is dressed in
overalls
> and looks like work."
> --Thomas A. Edison
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
It seems you missed the opportunity to do as you were asked!
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595