[Bioc-devel] R6 class v.s. S4 class

Hello BioC-dev group,


           We are working on a new R package right now and plan to submit
it to Bioconductor soon.  It's a unified R client for the collection of
BioThings APIs (http://biothings.io). Using R6 class, it makes a lot
sense to me as I'm coming from Python's OOP experience. It will be used
like this:


library(biothings)

gene_client <- BioThingsR6$new("gene")
gene_client$query("CDK2")


variant_client <- BioThingsR6$new("variant")
gene_client$query("dbsnp.rsid:rs1000")

Each "client" above is corresponding to a specific BioThings API, e.g. one
for gene, and one for variant. And we will have more "clients" as we are
expanding the number of BioThings API. The same R code should work with the
future APIs.

But if we use the traditional S4 class, it will be awkward as all
functions/methods are not "namespaced", we will need to define new
functions for each additional API. Something like this:

library(biothings)
geneQuery("CDK2")
variantQuery("dbsnp.rsid:rs1000")

I also want to mention that "query" is not the only method for each API
client, there will be several other methods for each client. It will
quickly make the function names messy if we go with the S4 option.

Anyway, we think we like R6 class better, but just want to get some
feedback here if the usage pattern using R6 class has been well-accepted in
the R community. Will the users feel cumbersome if they have to instantiate
the class first and then make the function calls? The majority of the
existing BioC package are indeed S4 class based, which makes us feel
hesitated.

Thanks,

Chunlei







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