11/15/2022 0 Comments R vs r studio![]() ![]() ![]() ![]() Since others mentioned it as a major point ("god send") on the RStudio plus side I want end it with just noting that one can have the "Environments" pane with the VSC R extension as well at least for a couple or more months now, same also goes for the Nvim-R (plus Neovim) combo which also has that feature (for even longer) via the respective plugin command.Īnd as a small sidenote I know first hand that a lot of the CRAN folks (and quite a few R-Core members) absolutely swear on Emacs (not only for R programming) usually with ESS (for R stuff).Open RStudio and a window like the one below should open. This is/was one of my main painpoints when it came to not abandoning other editors totally for R related stuff in favor of RStudio, since the Vim emulation in RStudio definitely lacks the VSC Vim extensions capabilities. But I really like being able to use my nvim muscle memory in VSC that way as well. languages eg julia, python plugins and features like coc and lsp etc.) made me transition to that combo ītw I also heavily use the "Vim" extension in VSC as well - even though I noticed that this can have a heavy toll on VSC's "weight" and performance. It used to be Vim + Nvim-R (set up to use tmux) but some other cool plugins (mainly that I can have R run in that native Neovim terminal and some other prog. #R VS R STUDIO WINDOWS#There are still lightyears to catch up for that tool in that respect imho heck I even think that the python features in the new RStudio versions already are superior to Jupyter notebooks - but I admit that this is probably a personal/subjective opinion, I just can't get comfortable with them no matter how hard I try.Īs soon as I leave the WINdows realm/world, so on Linux and/or WSL2 I am deep in Neovim (using its native terminal for R - REPL or R 'radian' stuff) + Nvim-R (the vim/neovim R plugin) together with a bigger than average (I guess) init.vim file. Then again when it comes to (interactive) data analytics - you know the explore, trial, check, modify kind - and documenting that workflow (ie Rmarkdown, knitr, etc) it remains a miracle to me, how anyone who has ever seen or worked with a R markdown based report, is not simply running away screaming when she/he sees a jupyter notebook. #R VS R STUDIO CODE#RStudio is a "no-brainer" choice for R package dev especially the setup phase -> simply nothing out there even close regarding efficiency in that respect! On the other hand I have really come to like VS Code (VSC) with the R extension installed (the one by 'Yuki Ueda') when it comes to git interaction, though that is a VSC out-of-the-box feature and independent of the R extension, but imo the R extension has brought a lot of "R sugar" to the VSC table and progressed huge lately so you could say that on pure coding (days or) parts of a project I have become more of a "depending on my mood that day" guy when it comes to choice of editor on package projects and/or if projects have a mix and match with eg 'python'-esque or other code. The use case is just different and the tool sets as well. The side by side same doc editing and such is very handy for lengthy scripts and all the other headaches that come with banging out lines of code. After I've cleaned up my mess and have a plan, I'll switch to VScode and push out my Julia script or module. When I program with Julia to put some algorithm or model into production, I do my mocking up and research in R and Rstudio. RStudio makes using R a smooth, integrated experience. I have more interest in using R than programming with it. I'd say I learned R as a tool for research. #R VS R STUDIO FULL#There's A LOT going on in VScode since it is meant for the full range of languages. You can get there in VScode with extensions but it's just not as intuitive of a process. The environment pane is a god send, and the documentation is a breeze to get to. Having used them both interchangeably for a while now: RStudio for data science work like cleaning, merging, all that jazz is just a much simpler and smoother experience. I set up VScode to map to that R distro so I don't have to flip flop and restart RStudio any time I need to test in one environment or the other. I have to use Microsoft's R Open Client to interface with, well, Microsoft crap. ![]()
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