The obvious idea to set up a local repository works. It takes 5 mins at
most.
On 17/12/2013 18:08, Duncan Murdoch wrote:
So apparently not as simple as I thought it would be. So I'll tell you
what I actually do:
I have a number of packages under development, some on CRAN, some not. I
also work in multiple builds of R pretty frequently, so I like to
install all my packages and commonly used ones from other people. So I
put together a little script that I can run that will install or update
a list of about 20 packages. Here it is, with the names deleted.
# Script to install current versions of commonly used packages
installed <- rownames(installed.packages())
old <- old.packages()
oldoptions <- options(repos =
c(CRAN="http://probability.ca/cran",CRANextra="http://www.stats.ox.ac.uk/pub/RWin";))
pkgs <- ------ a character vector of packages on CRAN ------
oldPkgs <- old[intersect(pkgs, rownames(old)),,drop=FALSE]
if (length(oldPkgs))
update.packages(oldPkgs = oldPkgs)
pkgs <- setdiff(pkgs, installed)
if (length(pkgs))
install.packages(pkgs, dep=c("Depends", "Imports"))
options(repos = c(options("repos"),
"R-forge"="http://R-Forge.R-project.org";))
pkgs <- ------ packages to install from R-forge ------
oldPkgs <- old[intersect(pkgs, rownames(old)),,drop=FALSE]
if (length(oldPkgs))
update.packages(oldPkgs = oldPkgs)
pkgs <- setdiff("patchDVI", installed)
if (length(pkgs))
install.packages(pkgs)
MyR <- ------ the source directory where I keep my own packages ------
pkgs <- ------ packages to install from local source ------
pkgs <- setdiff(pkgs, installed)
if (length(pkgs))
install.packages(file.path(MyR, pkgs), type="source", repos=NULL)
options(oldoptions)
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--
Brian D. Ripley, rip...@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
______________________________________________
R-help@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.
