I just finished the first draft of the chapters on OO programming for the 2nd edition of "Advanced R": https://adv-r.hadley.nz - you might find them helpful.
Hadley On Thu, Sep 14, 2017 at 7:58 AM, Alexander Shenkin <ashen...@ufl.edu> wrote: > 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. -- http://hadley.nz ______________________________________________ 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.
