Simon,

That's a better way, indeed. I had missed your previous post, so thank you
for reposting. My original motivation for the script was to sync certain
"core" packages across multiple machines, but it works well for upgrades,
too. The script also provides a means of weeding out my library by not
automatically installing old, unused packages.

I find the Package Manager is great for installing individual packages, but
is error-prone for installing a lot of packages at once (as a user
interface...too many chances to, for instance, forget a package).

Thanks,

Tom

On Wed, May 25, 2011 at 06:35, Simon Urbanek <simon.urbanek@r-project.org>wrote:

> Well, that's a bit convoluted way (I really don't see the point of that
> "script") - if you want to re-install packages across R versions (not the
> topic of this thread!) it is far easier than that and I posted it here just
> a few days ago:
>
> # for packages from user location:
> install.packages(row.names(installed.packages("~/Library/R/2.12/library")))
>
> # for packages from system location:
>
> install.packages(row.names(installed.packages("/Library/Frameworks/R.framework/Versions/2.12/Resources/library")))
>
> but as I said, the Package Manager gives you the latter without the need to
> type anything ...
>
> Cheers,
> Simon
>
>
>
> On May 24, 2011, at 11:07 PM, Tom Hopper wrote:
>
> > There's a handy script to automate the update process that I came across
> > some time ago at
> >
> https://bridgewater.wordpress.com/2010/12/21/my-favorite-r-packages-installed-with-one-command/
> >
> > When you run the script, it will automatically install the libraries that
> > you set up in the script. When you run it, it will install into the first
> > location in .libPaths(). If you want packages installed in
> ~/Library/R...,
> > then you need to check the "Default Library Paths" option in
> > R-->Preferences-->Startup. Alternatively, you could supply the lib=
> argument
> > to the install.packages() call. With a little extra code, you could even
> > define the install location for each package individually.
> >
> > Here's a shortened version:
> > # Essential R packages: 2011-01-02
> > # Originally from: R packages I use commonly: 12/21/2010 twitter:
> > drbridgewater
> > #     Jeff S. A. Bridgewater
> > #
> >
> https://bridgewater.wordpress.com/2010/12/21/my-favorite-r-packages-installed-with-one-command/
> > #
> >
> > #list all packages currently installed
> > p<-c()
> >
> > #add essential packages:
> > p<-c(p,"survival")
> > p<-c(p,"Hmisc")
> > # add more packages here
> >
> > # UPDATE the repository list to point to your local repositories
> > repositories<-c("http://mirrors.softliste.de/cran/","
> > http://mirrors.softliste.de/cran/")
> > install_package<-function(pack,repositories)
> > {
> > if(!(pack %in% row.names(installed.packages())))
> > {
> > update.packages(repos=repositories, ask=F)
> > install.packages(pack, repos=repositories, dependencies=T)
> > }
> > require(pack,character.only=TRUE)
> > }
> >
> > for( pack in p)
> > {
> > install_package(pack,repositories)
> > }
> >
> >       [[alternative HTML version deleted]]
> >
> > _______________________________________________
> > R-SIG-Mac mailing list
> > R-SIG-Mac@r-project.org
> > https://stat.ethz.ch/mailman/listinfo/r-sig-mac
> >
> >
>
>

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