I wonder if the package Adrian Dușa created might be helpful or point you along the way.
It was eventually named "declared" https://cran.r-project.org/web/packages/declared/index.html With a vignette here: https://cran.r-project.org/web/packages/declared/vignettes/declared.pdf I do not know if it would easily satisfy your needs but it may be a step along the way. A package called Haven was part of the motivation and Adrian wanted a way to import data from external sources that had more than one category of NA that sounds a bit like what you want. His functions should allow the creation of such data within R, as well. I am including him in this email if you want to contact him or he has something to say. -----Original Message----- From: R-help <r-help-boun...@r-project.org> On Behalf Of Duncan Murdoch Sent: Tuesday, December 21, 2021 5:26 AM To: Marc Girondot <marc_...@yahoo.fr>; r-help@r-project.org Subject: Re: [R] Creating NA equivalent On 20/12/2021 11:41 p.m., Marc Girondot via R-help wrote: > Dear members, > > I work about dosage and some values are bellow the detection limit. I > would like create new "numbers" like LDL (to represent lower than > detection limit) and UDL (upper the detection limit) that behave like > NA, with the possibility to test them using for example is.LDL() or > is.UDL(). > > Note that NA is not the same than LDL or UDL: NA represent missing data. > Here the data is available as LDL or UDL. > > NA is built in R language very deep... any option to create new > version of NA-equivalent ? > There was a discussion of this back in May. Here's a link to one approach that I suggested: https://stat.ethz.ch/pipermail/r-devel/2021-May/080776.html Read the followup messages, I made at least one suggested improvement. I don't know if anyone has packaged this, but there's a later version of the code here: https://stackoverflow.com/a/69179441/2554330 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. ______________________________________________ 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.
