Hi, On Fri, 19 Dec 2014 23:11:42 +0700 Jodi Jhouranda Siregar <11.6...@stis.ac.id> wrote: > Dear RKWard developer. > I want to ask some help from you. my team is in final project of my > bachelor study in indonesia. we decided to develop an open source > statiscal software especially for spatial analysis and use R as it's > backend. we met a problem to emmbed R engine in our software just > like what you guys did in RKWard. we have been tried to look into > your available source code and we still don't know how you guys did > it. hopes you can help me in our final research.
the best high-level writeup of RKWard design is this article in jstatsoft: http://www.jstatsoft.org/v49/i09 . You'd want to look at the appendix, in particular. To give you a very general idea on where to find the most central bits: - rkward/rbackend/FindR.cmake and rkward/rbackend/CMakeLists.txt for configuring the build - rkward/rbackend/rkbackendprotocol_backend.cpp for setting up the backend process - rkward/rbackend/rkrbackend.cpp for actually starting / intializing the R engine and doing work in R - rkward/rbackend/rkrbackend_transmitter.cpp for passing messages to the frontend. That said, it's hard to tell without knowing more details, but RKWard may be rather more complex than what you need. Much of that complexity is for being able to run commands just like they had been typed into an interactive R console. Another part of the complexity comes from running the R engine and the frontend asynchronously (and in separate processes). If you don't need either of this, embedding R will be considerably easier. You might want to look at Rcpp. And I assume you are familiar with the relevant section in the R-exts manual: http://cran.r-project.org/doc/manuals/r-release/R-exts.html#Linking-GUIs-and-other-front_002dends-to-R . I think those are the best pointers, I can give, right now. If you have more specific questions about embedding R, feel free to ask. Regards Thomas
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