Three layers of protection can be established with Lotas' error prevention system:
Error prevention system
- static check: real-time detection of syntax errors and undefined variables during coding, with problem locations underlined
- dynamic warning: Simulate the execution environment before running to detect potential problems such as type mismatch in advance
- Dependency management: Automatically checks for missing packets and proposes
install.packages()suggestion
Typical problem solutions
- NA value processing: Automatically add data operations containing NA
na.rm=TRUEParameter recommendations - Dimensional mismatch: checking the dimension before matrix operations, hints
dim()Adjustment program - memory overflow: Recommended chunking strategy before big data manipulation
Recovery program
When an error occurs:
- Click the "Repair" icon next to the console error message.
- Check out the three fixes offered by the Lotas panel (with execution success rates labeled)
- After selecting "Apply Repair", the system will save the original code into the
_backupfile
It is recommended to enable the "Error Mode Learning" function, so that the AI can record the solutions you finally adopt, and gradually improve the repair accuracy.
This answer comes from the articleRao (Lotas): AI code editor to accelerate RStudio workflowsThe
May not be reproduced without permission:AI productivity tools " How can I avoid analysis interruptions caused by common R script runtime errors?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil