I always use a user library on all platforms. The renv package takes this to
the next level and lets you setup per-project libraries.
To be reproducible a data analysis needs to use the same user packages, and
even different versions of R can give different results. It should be up to the
analyst to decide when to use upgraded software, and system package managers
are a poor choice for supporting that, even on a single-user machine.
On September 28, 2024 3:05:08 PM PDT, "Christopher W. Ryan"
<c...@agencystatistical.com> wrote:
>I'm running R (currently 4.4.1) on Linux Mint
>
>> sessionInfo()
>R version 4.4.1 (2024-06-14)
>Platform: x86_64-pc-linux-gnu
>Running under: Linux Mint 20.3
>...truncated...
>
>To install a new R package, is it better to use Linux Mint's pacakge
>manager (e.g. synaptic, apt-get, or similar), or to install it within R
>with install.packages("some_new_package")?
>
>I've done both over the years (perhaps a mistake that I will some day
>regret.)
>
>Pros and cons of these two methods?
>
>Thanks.
>
>--Chris Ryan
>
--
Sent from my phone. Please excuse my brevity.
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