[R] Problem with compatible library versions

[Richard O'Keefe]

The purpose of 'groundhog' is to support reproducible research.
As Uwe Ligges pointed out, there are practical limits to that.
Since I am typing this on a 10-year-old machine, it's clearly
feasible in *some* instances, but as an illustration of Uwe's
point, Ubuntu still supports 32-bit applications, but it does
not support 32-bit x86 hardware (since 20.04 IIRC).

I think it is fair to say that 'groundhog' *supports*
reproducible research, but nothing can *guarantee* it.


On Thu, 12 Oct 2023 at 01:54, Ebert,Timothy Aaron <tebert using ufl.edu> wrote:

> Is that a method where a program that I write today would still run
> without changes in 10 years?
> Tim
>
> -----Original Message-----
> From: R-help <r-help-bounces using r-project.org> On Behalf Of Richard O'Keefe
> Sent: Wednesday, October 11, 2023 8:08 AM
> To: Uwe Ligges <ligges using statistik.tu-dortmund.de>
> Cc: r-help using r-project.org
> Subject: Re: [R] Problem with compatible library versions
>
> [External Email]
>
> There is a fairly straightforward way to load older versions of packages,
> and that is to use the 'groundhog' package.
> As the first sentence of https://groundhogr.com/ puts it:
>    Make your R scripts reproducible by replacing library(pkg)
>    with groundhog.library(pkg, date).
>
> pkg can be a vector of package names or a single name.
>
> On Wed, 11 Oct 2023 at 20:58, Uwe Ligges <ligges using statistik.tu-dortmund.de>
> wrote:
> >
> >
> > On 10.10.2023 17:34, Sabine Braun wrote:
> > > On the github website I have reported several bugs with new versions
> > > of the tidyverse group (probably dplyr) which prevent me from using
> > > R normally. I wanted to go back to older versions but this seems not
> > > bo be easy. I downloaded R 4.1.2. and Rtools 40 but the library
> > > versions
> >
> > So this is on Windows.
> >
> > Actually, if you install R-4.1.2 and use a clean library and install
> > binaries, then you should get binary installation from CRAN that fit
> > to the R-4.1.x series.
> >
> > If you want to install older package versions, then you have to
> > install these one by one from sources, unfortunately.
> >
> > Best,
> > Uwe Ligges
> >
> >
> >
> > > installed are still the newest ones. I was able to install dplyr 1.0.7.
> > > manually but there are error messages on incompatibility when
> > > loading this version. Is there a possibility to load older library
> > > versions which alre compatible ?
> > >
> > > Thank you very much!
> > >
> > > Best regards
> > >
> > > Sabine Braun
> > >
> > >
> >
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> ______________________________________________
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