languageserver VS Nvim-R

Symbol outline by LSP Client: It can connect to any LSP "server" (runs locally) which implements LSP protocol (https://microsoft.github.io/language-server-protocol/), and supports "stdin" communication. A number of LSP server configuration is provided by default (including R), but user can extend, and override this configuration. As long as the LSP servers are properly installed (kate will start them) and the Kate LSP client configuration is set up properly should work. LSP also provides other IDE-like features (like code completion, jump to symbol definition, diagnostic/linter messages) etc. I found an LSP server for R (https://github.com/REditorSupport/languageserver), you may want to give it a shot.

You'd need: - hrsh7th/nvim-cmp with set up LSP source (hrsh7th/cmp-nvim-lsp). - neovim/nvim-lspconfig. - R language server installed. This is a regular R package, can be installed from CRAN.

Besides a common modern Neovim "IDE setup", some other useful R-specific tools: - languageserver R package for LSP integration. - styler R package for code formatting. Somewhat slow and lacks some features, but seems to be the best current solution.

First of all, make sure that you actually use r_language_server. For that, at least install languageserver R package (run R from command line and execute install.packages("languageserver")) and set up r_language_server with nvim-lspconfig. I think after that you should be able to see some diagnostic information.

The truth is that most editors will use R language server underneath ( https://github.com/REditorSupport/languageserver ) so it's more what layout you prefer than what functionalities an editor has to offer.

Other plugins/utilities can fill in some of the other gaps. In the screenshot below, I'm using NvimTree to browse files, and I'm also currently using Neovim's native LSP client (in Neovim 0.5.0) with r_language_server installed (configured with the Neovim team's plugin nvim-lspconfig).

If you do a lot of R coding, then a package more specific to R, and more fully featured is Nvim-R.

The whole reason I ended up going this route was also sort of data-science related: there’s a really spectacular R plugin for Vim, which I wanted to recapitulate as best I could when using python: https://github.com/jalvesaq/Nvim-R

But just wondering if people have tried using it with the Nvim-R plugin? I'm not sure it is worth the effort for me looking through the steps needed. Also, do I need to switch my init.vim/vimrc to lua? Perspectives appreciated!

However, there doesn't seem to be much available support yet for Quarto editing. The only plugin I could find is limited to syntax highlighting. To my knowledge, Quarto also isn't a built-in filetype yet. I've worked around this by manually creating a filetype and using R Markdown syntax highlighting with the Nvim-R plugin, which lets me send R code in chunks to a REPL and see results while I edit. Nvim-R also supports evaluation of Python code chunks using an R package that evaluates Python code, but that's not an ideal solution for editing a Python-only file.

looking for a neovim plugin that's similar to Nvim-R, but for python.

For that reason, I want to use Nvim-R in combination with ncm-R. I get the completion to work if I use it manually with Ctrl+x Ctrl+o, but it does not start automatically. My init.vim file looks like this:

I use Nvim-R. It took a bit of time to learn the key bindings, but the documentation is pretty clear.

If you want to go in a very different direction, you can try vim (or neovim) with nvim-r. For a variety of reasons, that’s what I tend to use.

nvim + Nvim-R user here as well.

I use https://github.com/jalvesaq/vimcmdline for python and https://github.com/jalvesaq/Nvim-R for R