No articles match
Unreplicated Diagonal Arrangement Design5 days ago
Single Unreplicated Diagonal Arrangement Design | Overview | Use Case | Running the Shiny App | 1. Using the FielDHub Shiny App | Inputs | Outputs | Input Data | Randomized Field | Plot Number Field | Field Book | 2. Using the FielDHub function: diagonal_arrangement() | Details on the inputs entered in diagonal_arrangement() above: | Optimize the spacing of repeated checks | Print single_diag object | Access to single_diag object | Plot field layout | Multiple Unreplicated Diagonal Arrangement Design | Print multi_diag object | Access to multi_diag object | References
Scientific validation and computational limits6 days ago
What the checks establish | Numerical reference checks | Search bounds and diagnostics | Reproducibility and release evidence
Adding designs and formats9 days ago
Add an engine through the registry | Expose the design in the app | Add an import/export format | Review checklist
Alpha Lattice Design9 days ago
1. Using the FielDHub Shiny App | Inputs | Outputs | Field Layout | Field Book | 2. Using the FielDHub function: alpha_lattice() | Details on the inputs entered in alpha_lattice() above | Print alpha object | Access to alpha object | Plot the field layout
Architecture and compatibility contracts9 days ago
Layers and direction of dependencies | Results and randomness | Extension boundaries | Versioned interchange | Compatibility and release ownership
Optimized Multi-Location P-rep Design9 days ago
Overview | Optimization | Across Location | Within Location | Toy Example | Swap pairs | Use case (Multi-Location P-rep Design) | Running the Shiny App | 1. Using the FielDHub Shiny App | Inputs | Outputs | Randomized Field | Plot Number Field | Field Book | 2. Using the FielDHub function: multi_location_prep(). | Details on the inputs entered in multi_location_prep() above | Print optim_multi_prep object | Access to optim_multi_prep output | Plot field layout | Field Layout for Location 1 | Field Layout for Location 5 | References
Row-Column Design9 days ago
Resolvable Row-Column Design | Overview | 1. Using the FielDHub Shiny App | Inputs | Outputs | Field Layout | Field Book | 2. Using the FielDHub function: row_column() | Details on the inputs entered in row_column() above | Print rcd object | Access to rcd object | Plot the field layout | Optimization method and latinization
Partially Replicated (p-rep) Design22 days ago
Overview | Optimization | Toy Example | Swap pairs | Acknowledge | Use case | Running the Shiny App | 1. Using the FielDHub Shiny App | Inputs | Outputs | Data Input | Randomized Field | Plot Number Field | Field Book | 2. Using the FielDHub function: partially_replicated(). | Details on the inputs entered in optimized_arrangement() above | Print prep object | Access to prep output | Plot field layout | References
Randomized Complete Block Design2 months ago
1. Using the FielDHub Shiny App | Inputs | Outputs | Field Layout | Field Book | 2. Using the FielDHub function: RCBD() | Details on the inputs entered in RCBD() above | Print rcbd object | Access to RCBD object | Plot the field layout | RCBD with repeated checks
Augmented Randomized Complete Block Design3 years ago
Overview | Use case | Running the Shiny App | 1. Using the FielDHub Shiny App | Inputs | Outputs | Input Data | Randomized Field | Plot Number Field | Field Book | 2. Using the FielDHub function: RCBD_augmented() | Details on the inputs entered in RCBD_augmented() above | Print aug_RCBD output | Access to aug_RCBD output | Plot field layout | Plot layout for location 1 | Plot layout for location 2
Full Factorial Design3 years ago
1. Using the FielDHub Shiny App | Inputs | Outputs | Field Layout | Field Book | 2. Using the FielDHub function: full_factorial() | Details on the inputs entered in full_factorial() above | Print factorial object | Access to factorial object | Plot the field layout
Split-Plot Design3 years ago
1. Using the FielDHub Shiny App | Inputs | Outputs | Field Layout | Field Book | 2. Using the FielDHub function: split_plot() | Details on the inputs entered in split_plot() above | Print spd object | Access to spd object | Plot the field layout