Generated from 90 days of demo data (2026-01-01 to 2026-03-31) using the TaiYiYuan modeling pipeline.
| File | Command | Description |
|---|---|---|
daily-digest.txt |
daily_digest --date 2026-03-10 |
Single-day summary: 5 meals (2,390 kcal, 160g protein), 1 weightlifting session (63 min, RPE 8), 7 body metrics, 5 active supplements, 1 active trial |
weekly-report.txt |
weekly_report --start 2026-03-03 --end 2026-03-09 |
Week-long report with diet/exercise summaries, metric trends, biomarkers, anomaly scan, trial updates |
rolling-stats.txt |
rolling_stats --metric weight |
7/30/90-day rolling statistics for weight: 90-day mean 74.12 kg, current 71.59 kg (-3.42% vs mean), consistent downward trend |
trend-analysis.txt |
trend --metric weight --days 90 |
Linear trend: -0.039 kg/day, R²=0.84, p<0.001 — statistically significant weight loss of ~4.6% over 90 days |
anomaly-detection.txt |
anomaly_detect --metric weight --days 90 |
9 anomalous low-weight readings detected (z-scores -2.09 to -2.96), clustered in mid-Feb and mid-Mar, consistent with accelerating downtrend |
nutrient-summary.txt |
nutrient_summary --days 30 |
30-day nutrition: avg 2,319 kcal/day, 152g protein, 252g carbs, 79g fat, 14g fiber across 116 meals |
exercise-summary.txt |
exercise_summary --days 30 |
30-day exercise: 18 sessions, 1,022 total minutes, weightlifting/running/flexibility, 49,780 kg volume load |
periodicity-detection.txt |
periodicity --metric sleep_quality --days 90 |
Day-of-week and monthly ANOVA for sleep quality (no significant periodic patterns detected in this dataset) |
| File | Command | Description |
|---|---|---|
pattern-scan.txt |
scan --days 90 |
Pairwise correlation scan across all metrics with Benjamini-Hochberg FDR correction. Many significant correlations found (140 KB of results) |
cross-module-scan.txt |
cross_module --days 90 |
Cross-module relationships: diet calories → sleep duration (r=0.40, lag 1d, p=0.0001), protein → sleep duration (r=0.33, lag 1d), exercise → body composition correlations |
trial-candidates.txt |
trial_candidates |
N-of-1 trial nominations based on effect size, significance, and data availability. Top candidates involve diet-body metric relationships |
| File | Command | Description |
|---|---|---|
causal-trial-analysis.txt |
analyze_trial --trial_id 1 |
Full analysis of the Protein-Sleep Quality Trial (ABA design): large effect (d=0.94, p=0.022), sleep quality improved from 6.98 to 7.64 on high-protein dinner. ITS shows level change +0.84 (p=0.11). Confidence rated "low" due to confounders (calories, exercise, weight all changed during trial) |
power-analysis.txt |
power --metric sleep_quality --baseline_days 60 |
MDE = 0.36 SD (0.28 points) with 60 baseline observations. 32 observations per phase recommended for medium effect detection |
confounders-check.txt |
confounders --trial_id 1 |
Confounding analysis: blood pressure stable, but HRV improved (+16%), resting HR decreased (-4%), weight decreased, calories increased 32%, exercise minutes nearly doubled — multiple confounders flagged |
| File | Description |
|---|---|
db-query-demo.txt |
Demonstrates the Python DB API: meal logging with Chinese/English descriptions, daily weight tracking, 5 active supplements (creatine, Mg, multivitamin, omega-3, vitamin D3), 2 N-of-1 trials, 75 biomarker readings across 33 markers, exercise logging. Database totals: 349 diet entries, 1,126 ingredients, 65 exercise sessions, 192 exercise details, 571 body metrics, 75 biomarkers |
- Weight trend: Strong downward trend (-0.039 kg/day, R²=0.84) from ~75.9 to ~71.6 kg over 90 days
- Diet-sleep link: Higher calorie/protein intake correlates with better sleep duration next day (r=0.40, lag 1d)
- Protein-sleep trial: Large effect size (d=0.94) but confounded by simultaneous changes in calories (+32%), exercise (+86%), and other metrics
- Anomaly clusters: Weight anomalies cluster in mid-Feb and mid-Mar, suggesting periodic acceleration phases
- Vitamin D deficiency: Baseline 22 ng/mL (below 30 reference), supplementation started Feb 2026