On implementing zero-overhead code reuse
@Konrad, you're right, that's exactly what I'm looking for. That's great stuff. Thanks! (And thanks also to Gabor Grothendieck, who suggested modules to me way back.) On Tue, Oct 4, 2016 at 7:07 AM, Konrad Rudolph
<konrad.rudolph+r-devel at gmail.com> wrote:
Check out ?klmr/modules? on Github (distinct from CRAN?s ?modules?!). It looks pretty much exactly like what you want: https://github.com/klmr/modules It has an extensive README and vignette explaining the usage. Cheers, Konrad -- Konrad Rudolph On Sun, 2 Oct 2016 at 18:31 Kynn Jones <kynnjo at gmail.com> wrote:
I'm looking for a way to approximate the "zero-overhead" model of code reuse available in languages like Python, Perl, etc. I've described this idea in more detail, and the motivation for this question in an earlier post to R-help (https://stat.ethz.ch/pipermail/r-help/2016-September/442174.html). (One of the responses I got advised that I post my question here instead.) The best I have so far is to configure my PROJ_R_LIB environment variable to point to the directory with my shared code, and put a function like the following in my .Rprofile file: import <- function(name){ ## usage: ## import("foo") ## foo$bar() path <- file.path(Sys.getenv("PROJ_R_LIB"),paste0(name,".R")) if(!file.exists(path)) stop('file "',path,'" does not exist') mod <- new.env() source(path,local=mod) list2env(setNames(list(mod),list(name)),envir=parent.frame()) invisible() } (NB: the idea above is an elaboration of the one I showed in my first post.) But this is very much of an R noob's solution. I figure there may already be more solid ways to achieve "zero-overhead" code reuse. I would appreciate any suggestions/critiques/pointers/comments. TIA! kj
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