Hi I do not consider myself as an expert in field of R package programming but if your data are rectangular, why not use data.frames.
OTOH if they are structured in free form (something like lm result) you could use lists. Did you read this? https://cran.r-project.org/doc/contrib/Leisch-CreatingPackages.pdf Maybe it could give you some insight in how to create package. Cheers Petr > -----Original Message----- > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Alexander > Shenkin > Sent: Thursday, September 14, 2017 2:59 PM > To: r-help <r-help@r-project.org> > Subject: [R] To implement OO or not in R package, and if so, how to structure > it? > > Hello all, > > I am trying to decide how to structure an R package. Specifically, do I use > OO > classes, or just provide functions? If the former, how should I structure the > objects in relation to the type of data the package is intended to manage? > > I have searched for, but haven't found, resources that guide one in the > *decision* about whether to implement OO frameworks or not in one's R > package. I suspect I should, but the utility of the package would be aided by > *collections* of objects. R, however, doesn't seem to implement collections. > > Background: I am writing an R package that will provide a framework for > analyzing structural models of trees (as in trees made of wood, not > statistical > trees). These models are generated from laser scanning instruments and model > fitting algorithms, and hence may have aspects that are data-heavy. > Furthermore, coputing metrics based on these structures can be > computationally heavy. Finally, as a result, each tree has a number of > metrics > associated with it (which may be expensive to calculate), along with the > underlying data of that tree. It will be important as well to perform > calculations across many of these trees, as one would do in a dataframe. > > This last point is important: if one organizes data across potentially > thousands > of objects, how easy or hard is it to massage properties of those objects > into a > dataframe for analysis? > > Thank you in advance for thoughts and pointers. > > Allie > > ______________________________________________ > 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. ________________________________ Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a jsou určeny pouze jeho adresátům. Jestliže jste obdržel(a) tento e-mail omylem, informujte laskavě neprodleně jeho odesílatele. Obsah tohoto emailu i s přílohami a jeho kopie vymažte ze svého systému. 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