Yep. (In the first form, you likely want a stoplist for base and recommended
packages.)
You can also base it on a listing of the library directory. This has the
advantage that you can fairly easily twiddle it to look at older versions after
the upgrade.
> .libPaths()
[1] "/Library/Frameworks/R.framework/Versions/4.0/Resources/library"
> list.files("/Library/Frameworks/R.framework/Versions")
[1] "3.0" "3.1" "3.2" "3.3" "3.4" "3.5" "3.6"
[8] "4.0" "Current"
> list.files("/Library/Frameworks/R.framework/Versions/3.6/Resources/library")
[1] "assertthat" "backports" "base"
[4] "base64enc" "BH" "bitops"
[7] "boot" "caTools" "chron"
...
> setdiff(list.files("/Library/Frameworks/R.framework/Versions/3.6/Resources/library"),rownames(installed.packages()))
[1] "caTools" "dplyr" "plogr" "translations"
(Notice that "translations" is not a package, so a red herring in this context)
-pd
> On 10 Jun 2021, at 00:26 , Simon Urbanek <simon.urba...@r-project.org> wrote:
>
>
> Um, this is actually a lot easier purely with R - if you want to keep track
> of your favorite packages it is as simple as
>
> pkgs = rownames(installed.packages())
> writeLines(pkgs, "packages.txt")
>
> and oyu have a list of all packages that you can edit if desired. if you ever
> want to re-install then simply
>
> pkgs = readLines("packages.txt")
> install.packages(pkgs)
>
> and if you only want to install missing it's simply
>
> missing.pkgs = pkgs[!pkgs %in% rownames(installed.packages())]
> install.packages(missing.pkgs)
>
> All trivially done in R. It is always beyond me why people come up with
> incredibly convoluted solutions to simple things ..
>
> Cheers,
> Simon
>
>
>
>> On 9/06/2021, at 8:55 PM, Dr Eberhard Lisse <nos...@lisse.na> wrote:
>>
>> On 08/06/2021 22:46, moleps islon wrote:
>> [...]
>>> I have no idea why, but my R installation (Mac OS X - Big Sur)
>>> automatically updates causing havoc with my libraries each time. My
>>> Mac is under administration from the university and their software
>>> center, but they claim it is not their fault - but I still suspect
>>> them for causing all the trouble.
>> [...]
>>
>> Sounds like Homebrew to me. If so, or anyway, create a file (before
>> updating) which contains something like
>>
>> #!/usr/bin/env Rscript --vanilla
>> #
>> # set the Mirror
>> #
>> local({
>> r <- getOption("repos")
>> r["CRAN"] <- "https://cloud.r-project.org/";
>> options(repos = r)
>> })
>> install.packages(c(
>> "lubridate",
>> "tidyverse"
>> ), dependencies = TRUE)
>>
>>
>> or similar and run it if the additional libraries disappear.
>>
>> You can fill this with something like
>>
>> grep -h library *R \
>> |awk -F 'library' '{print $2}' \
>> |sed 's/(//g;s/)//g' \
>> |sort -u \
>> |awk '{print "\"" $1 "\","}'
>> |sed '$ s/,$//'
>>
>> or in a few lines of the language of your choice generate the whole
>> script. And of course refine to your liking with something like
>>
>> find ~/R -name '*.R' -exec grep -h library {} ';' \
>> ...
>>
>> greetings, el
>>
>> --
>> To email me replace 'nospam' with 'el'
>>
>> _______________________________________________
>> R-SIG-Mac mailing list
>> R-SIG-Mac@r-project.org
>> https://stat.ethz.ch/mailman/listinfo/r-sig-mac
>
> _______________________________________________
> R-SIG-Mac mailing list
> R-SIG-Mac@r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-mac
--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Office: A 4.23
Email: pd....@cbs.dk Priv: pda...@gmail.com
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