https://github.com/glycerine/rbook
I've open sourced my rbook project. I built rbook for myself to save data analysis in R to a file which serves as a lab notebook. I call the program rbook, and the saved files rbooks. I regularly use emacs and ESS (Emacs-Speaks- Statistics) for R based data analysis, and I wanted a way to record the sequence of plots and R output to a web browser. With rbooks, I can easily revisit and scroll through the analysis. All R commands and output or recorded, plots are shown in-line, and comments can be inserted. R can run out of memory and crash, so it is nice to be able to have a persistent session log--with graphics--to recovery and start again from. Using rbook is similar to Jupyter Notebooks and Jupyter Hub, but this is a completely independent project. I prefer emacs and ESS to Jupyter, as it is much faster to work in. I have ctrl-n bound to step through code, making debugging R code seamless. From my .emacs: (global-set-key "\C-n" 'ess-eval-line-and-step) The rbook project also demonstrates that it is viable to have a Go program host DLLs that are also written in Go. By controlling the signal handling, the two Go runtimes can coexist. Rbook is a Go program uses my R embedding library ( https://github.com/glycerine/embedr ) to load R as a DLL. In turn, R can load other Go code that has been built to be an R package DLL. The embedr and rbook Go code does the signal handling settings needed to make this possible. This took a long time to figure out, but it has been stable and working for a year now. I find it incredibly useful to be able to call into my Go code from R. Enjoy. -- You received this message because you are subscribed to the Google Groups "golang-nuts" group. To unsubscribe from this group and stop receiving emails from it, send an email to golang-nuts+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/golang-nuts/109a8892-9ac8-442f-ab47-9ecf8dc9076en%40googlegroups.com.
