Result Detail – Ordination Help
Result Information
- Result ID
- 53
- Type
- Ordination
- Status
- completed
- Dataset ID
- 711
- Created
- 2026-09-21 02:17:05.684714
Ordination Result – PCOA Help
- Method
- PCOA
- Components
- 3
- Stress
- 1571.4760
- Distance metric
- braycurtis
- Rows ordinated
- 80
- Feature columns
- gradient, f1, f2, f3, f4, f5, f6, f7, f8
Explained variance Help
| Axis | Fraction | Cumulative |
|---|---|---|
| Axis 1 | 0.2847 | 0.2847 |
| Axis 2 | 0.1173 | 0.4019 |
| Axis 3 | 0.0952 | 0.4971 |
| Axis 4 | 0.0844 | 0.5815 |
| Axis 5 | 0.0594 | 0.6408 |
| Axis 6 | 0.0471 | 0.6880 |
| Axis 7 | 0.0421 | 0.7301 |
| Axis 8 | 0.0319 | 0.7620 |
| Axis 9 | 0.0292 | 0.7911 |
| Axis 10 | 0.0231 | 0.8143 |
Ordination scatter Help
Figures
Ordination scores (axes 1–2)
Download PNG
Scree plot
Download PNG
Pathway Analysis (same dataset) Help
Method & Provenance
- Method
- Ordination — PCoA
- Method key
pcoa(result type:ordination, result #53)- Engine
- Python · scikit-learn v1.8.0
- Dataset(s)
- #711 gallery — example_ordination.csv
- Status
- completed
- Permanent link
- https://cat-g-omxpert.wishartlab.com/results/by-token/e7a09c01ffc64b94910ff6cb8319a426 Bookmark or share this URL — it does not depend on your session.
- Created
- 2026-09-21 02:17:05.684714
Parameters used
| Parameter | Value |
|---|---|
ordination_method
| pcoa |
method
| pcoa |
feature_cols
| gradient, f1, f2, f3, f4, f5, f6, f7, f8 |
n_components
| 3 |
color_col
| gradient |
Execution trace
Reconstructed from the parameters stored with this result — represents the Python/R calls the analysis service made.
# Classical MDS on distance matrixfrom app.services.ordination_service import run_ordinationcoords = run_ordination(df, method='pcoa', n_components=3, distance_metric='bray_curtis')