phase-data-analyze

The data-analyze phase applies statistical and computational methods to preprocessed data to test the research hypothesis.

Approach

• Read .neuroflow/ideation/ for the research question and .neuroflow/data-preprocess/ for the preprocessing report before choosing methods
• Write an analysis-plan.md first; do not write analysis code before the plan is accepted
• Audit statistical assumptions explicitly (normality, sphericity, independence) before selecting tests
• Apply appropriate multiple-comparison correction; if omitted, flag it and explain why

Relevant skills

• neuroflow:neuroflow-core — read first; defines the command lifecycle and .neuroflow/ write rules

Workflow hints

• All code, results, and figures go to output_path (scripts/analysis/, results/, figures/), not inside .neuroflow/
• Save analysis-plan.md to .neuroflow/data-analyze/ before running any scripts
• Log deviations from a pre-registered analysis plan in .neuroflow/reasoning/data-analyze.json

Slash command

/neuroflow:data-analyze — runs this workflow as a slash command.