Discover R A I S I N S (R & AI Solutions in INferential Statistics) - your ultimate tool for analyzing Pooled Augmented Randomized Block Designs across multiple locations! Effortlessly upload your multi-environment data and generate instant, publication-ready tables tailored for augmented designs. Evaluate check and test treatments with precision, explore location and genotype x environment interactions, and visualize results through advanced plots. Transform complex multi-location trial data into clear, actionable insights with ease!
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📍 Original Data Scale
These tables show arithmetic means computed from the original untransformed data. Use these values for biological classification (e.g., PDI disease reaction categories). Letter groupings are inherited from the pooled augmented analysis performed on the adjusted/transformed scale.
Upload your data, select variables, and click 'Run Analysis' in the Analysis Results tab.
Select a trait to view its pairwise comparisons (every treatment pair) and Wricke's ecovalence stability table.
You're currently viewing plots for single character. Click the settings icon ( ⚙ ) in the top-left corner of the plot to switch between single and multiple character views, or explore the extensive customization options to personalize your visualization experience.
In Treatment / TxL mode, faceted view stacks one Check | Test row per trait vertically.
Active when Factor = Treatment or TreatmentxLocation. Controls left and right panel widths.
Leave Width fields blank (NA) to auto-size by group count. Tip: avoid setting both to 1 - use proportional values (e.g. 3 and 10) for natural spacing.
Override the default x-axis titles for each panel. Leave blank to use defaults.
Choose a different colour palette for each panel.
Letters must be pre-computed and stored as a 'group' column in smry_checks, smry_tests, smry_loc, or smry_trt_loc.
Active when Factor = Treatment. Test treatments whose adj. mean exceeds the best check mean are highlighted on the right panel.
Controls the trait name label shown above each two-panel row (Treatment / TxL mode) and facet strips (Location mode).
In Treatment / TxL mode, faceted view stacks one Check | Test row per trait vertically.
Active when Factor = Treatment or TreatmentxLocation. Controls left and right panel widths.
Leave blank (NA) to auto-size. Tip: use proportional values (e.g. 3 and 10).
Choose a different palette for each panel.
Letters must be pre-computed as 'group' column.
Active when Factor = Treatment. Test treatments whose adj. mean exceeds the best check mean are highlighted.
Controls the trait name label shown above each two-panel row (Treatment / TxL mode) and facet strips (Location mode).
In Treatment / TxL mode, faceted view stacks one Check | Test row per trait vertically.
Active when Factor = Treatment or TreatmentxLocation. Controls left and right panel widths.
Leave blank (NA) to auto-size. Tip: use proportional values (e.g. 3 and 10).
Choose a different palette for each panel.
Overlays model-adjusted means as a second point layer (Treatment & Location modes only).
Letters are placed above the upper error-bar tip with a dynamic pad.
Active when Factor = Treatment. A reference line marks the best check adjusted mean on the Test panel.
Controls the trait name label above each two-panel row (Treatment / TxL mode) and facet strips (Location mode).
In Grouped mode all traits are overlaid, coloured and styled by trait. Grouped mode shows its own legend (not global).
In Treatment / TxL faceted mode, one Check | Test row is stacked per trait.
Leave blank (NA) to auto-size by group count.
Choose a different palette for each panel.
Letters are placed above the upper error-bar tip with a dynamic pad.
Active when Factor = Treatment. A reference line marks the best check adjusted mean on the Test panel.
Controls the trait name label above each two-panel row and facet strips.
In Single Plot mode all traits appear on the x-axis with treatments as dodge-coloured bars. A palette is recommended. Single mode uses a local legend (not global).
In Treatment / TxL faceted mode one Check | Test row is stacked per trait.
Leave blank (NA) to auto-size by group count.
Choose a different palette for each panel.
Letters are placed above the upper error-bar tip with a dynamic pad.
Active when Factor = Treatment. A reference line marks the best check adjusted mean on the Test panel.
Controls the trait name label above each two-panel row and facet strips.
All settings in this section apply only in Treatment mode.
Check vertical lines and the side errorbar panel show only in Treatment mode. Each check is shown as a vertical line on the histogram and as a point <c2><b1> SE in the side panel.
Leave 'Facet Columns' blank for automatic column count.
Vertical line at the highest check adjusted mean per facet.
Leave 'Facet Columns' blank for automatic column count.
Annotates each treatment with a computed stability statistic.
Vertical line at the highest check grand mean per facet.
This tool generates a CSV file in the correct format for Pooled Augmented RBD analysis across multiple locations or seasons.
How to use:
1. Enter the number of Locations / Seasons - the same block
layout is repeated for each location.
2. Enter the number of Blocks per Location.
3. Enter how many Test treatments appear in each block.
Test treatments differ per block; check treatments appear in
every block at every location.
4. Enter the number of Check treatments.
5. Enter the number of response variables (y1, y2, ...).
6. Click Create.
In the generated table, C1, C2, ... are check treatments and T1, T2, ... are test treatments. L1, L2, ... are locations. You can enter data by clicking cells or paste directly from Excel using Ctrl+V.
After data entry, click Download CSV file and upload the downloaded file in the Pooled Augmented RBD Analysis tab.