End-to-end research support tools
For academic users, Lotas is specially optimized to support the methodological chain of literature analysis. It forms an automated pipeline from data cleaning (processing Likert scales in questionnaires), statistical testing (multiple comparison correction), to result visualization (publication-level chart generation). It has been measured to reduce method chapter writing time by 65% and meets the code reproducibility requirements of journals such as JSS.
- template library: Built-in analysis templates for psychology, biostatistics and other fields (21 subject categories), support for automatic insertion of BibTeX references
- collaboration function: Version comparison tool highlights logical differences in code modified by collaborators, addressing transparency issues in academic collaborations
- Ethical Compliance: Automatically add anonymization processing code to data involving human subjects to comply with IRB review requirements
This answer comes from the articleRao (Lotas): AI code editor to accelerate RStudio workflowsThe
May not be reproduced without permission:AI productivity tools " Lotas application for academic research scenarios to enhance the efficiency of dissertation production
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