Problem with compatible library versions
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 at 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 at r-project.org> On Behalf Of Richard O'Keefe Sent: Wednesday, October 11, 2023 8:08 AM To: Uwe Ligges <ligges at statistik.tu-dortmund.de> Cc: r-help at 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 at 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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