Second open and update the NAMESPACE file. This file should be self-explanatory, but instructions and an example can be found here. Rdata-file for instance.įirst open and update the DESCRIPTION file. Optionally, you may add a data directory, which you may use to include an. The skeleton includes a DESCRIPTION and NAMESPACE file, and a man (hosting the manuals) and R (hosting the functions) directory. Use the getwd() function if you don not remember what your current working directory is. Package.skeleton(list = c("functionNameA", "functionNameB", "functionNameC"), name = "packageName")įind your package skeleton in a directory named after your package in your current working directory. To source the functions, either open the files in RStudio and source them using the source-button, or use the source() function.
It is good practice to write each function in a separate file and give the file and function the same appropriate name. Source the functions that should be included in your package. StackOverflow – Excellent forum for posting questions about R. Introductory Statistics with R – A free online book by Peter Dalgaard. R for Absolute Beginners – A manual for absolute beginners of R.Ĭomputational Statistics – Excellent lecture notes from a course on R. R for Beginners – A manual for beginners of R. 1.3 Learn to useĪn Introduction to R – The official introductory manual and a great reference. Now simply hit CMD-Enter on a line of R code to send it to the Sublime R session. You can now start an R session in Sublime by going to Tools > SublimeREPL > R.įinally you need to make sure that any R syntax you run from within Sublime is sent to the R session in Sublime: hit CMD-Shift-P again, type rbox, and choose ‘R-Box: Choose Program’. Repeat this step for ‘R-snippets’ and ‘SublimeREPL’.
Open Sublime and hit CMD-Shift-P, type install, and choose ‘Package Control: Install Package’. First install Sublime Text, if you haven’t done so already, and install Package Control, a package manager for Sublime Text. If Sublime Text is your favorite editor, here’s how you can set it up. It is probably most convenient to use the free and open source RStudio IDE for R. You can use R’s own console, but you won’t regret something more fancy.
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