Question 1

How does R-IDE compare to RStudio for R development?

Accepted Answer

R-IDE offers a lightweight, customizable alternative in Sublime Text with faster performance, but it lacks RStudio's integrated tools like plot viewers and Shiny support. It's better for users who prefer Sublime Text's ecosystem and are willing to set up additional plugins.

Question 2

How to set up R-IDE in Sublime Text for the first time?

Accepted Answer

First, install the 'languageserver' package in R via CRAN, then use Sublime Text's Package Control to install R-IDE, LSP, and LSP-R. Refer to the README for detailed steps, as it involves multiple installations and configurations.

Question 3

Is R-IDE suitable for data science projects?

Accepted Answer

Yes, especially for R Markdown workflows and script-based analysis, thanks to enhanced syntax support and interactive execution. However, for projects requiring interactive visualizations or Shiny apps, you might need extra tools beyond R-IDE.

Question 4

What are the main differences between R-IDE and the old R-Box?

Accepted Answer

R-IDE builds on R-Box's legacy by integrating modern language server protocol support, improving R Markdown handling, and adding better package development tools. It's a more updated and feature-rich iteration for Sublime Text.

Question 5

How to customize build commands in R-IDE?

Accepted Answer

You can modify the 'exec_items' setting in R-IDE's configuration to add or change build commands. This allows tailoring the build system to specific project needs, as mentioned in the README's usage section.

Question 6

Does R-IDE support debugging for R code?

Accepted Answer

R-IDE primarily relies on the language server for diagnostics and navigation, but it doesn't include built-in debugging tools like breakpoints. For debugging, you might need to use external R consoles or integrate with packages like 'debugger' via SendCode.

Sublime Text + R-IDE

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