Hi,
I managed to transfer my object trough dput/dget and a text file export. I will look into stripping the function for the reprex creation when I have more time (this is a ginormous function)... Thanks to your input and Bert's ----- Original Message ----- From: "Duncan Murdoch" <murdoch.dun...@gmail.com> To: "Sebastien Bihorel" <sebastien.biho...@cognigencorp.com> Cc: r-help@r-project.org Sent: Wednesday, July 17, 2019 3:04:46 PM Subject: Re: [R] Problem with save/load across R versions and OS On 17/07/2019 2:02 p.m., Sebastien Bihorel wrote: > Hi, > > Indeed the S4 object is a class provided by a contributed package. However, > the windows machine that reads the .rds fine does not even have the package > installed. > > I also confirm that I used readRDS (loadRDS was a typo on my part, sorry). > > In this case, I cannot provide a reprex as the contributed package function > that creates the S4 object connects to a local database with secured access. > I could send the code, but only the authorized people could run it. This is > not the ideal situation for problem solving... > > I was wondering if there was a pathway through serialize / unserialize. I > tried but I could not find the way to properly write and read the serialized > object. I don't know about that approach. You can probably produce a reprex, it'll just be work: copy the function from the contributed package, and edit it so that the line that reads from the database just generates some fake data in a similar format. If you can make it reproducible, then cut out as much stuff as possible, keeping it reproducible, and post the final minimal reprex. It's likely to take some time, but also likely to lead to a solution (either by you, when you notice a bug in the contributed package and can fix it, or by one of us, when you post the reprex and we dig in). Duncan Murdoch ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
