Documentation Index
Fetch the complete documentation index at: https://sourcetable.com/docs/llms.txt
Use this file to discover all available pages before exploring further.
Example workflows
| Task | How to do it |
|---|---|
| Experimental analysis | ”Run a paired t-test comparing pre and post treatment measurements” |
| Data visualization | ”Create a scatter plot with regression line and 95% confidence bands” |
| Literature data | Use deep research to “Find recent studies on [topic] and summarize key findings” |
| Power analysis | ”Calculate the required sample size for detecting a medium effect with 80% power” |
| Meta-analysis | ”Calculate pooled effect sizes from these study results using random effects model” |
| Data cleaning | ”Standardize units, handle missing values, and flag impossible measurements” |
Key features for research
- Statistical analysis — t-tests, ANOVA, chi-square, regression, non-parametric tests
- Feature engineering — Data transformation and normalization
- Deep research — Literature search and synthesis
- Python — Full access to SciPy, StatsModels, scikit-learn
- Import/export — Handle CSV, XLSX, JSON, Parquet, and more