Select an experimental design type below to configure parameters, generate, and download a randomised design for your experiment.
An alpha design (resolvable incomplete block design) as described by Patterson & Williams (1976). Used extensively in plant breeding trials. Includes a helper that proposes viable block structures.
A completely randomised design where each treatment appears the same number of times. Treatments are randomly allocated to experimental units with no blocking structure.
A completely randomised design where each treatment can appear a different number of times. Treatments are randomly allocated to experimental units with no blocking structure.
A Latin square design where each treatment appears exactly once in each row and once in each column. Supports multiple squares (replicates) when rows and columns are multiples of the treatment count.
A randomised complete block design where every treatment appears exactly once in each block. Treatments are randomly allocated to plots within each block independently.
A randomised complete block design where treatments can have different numbers of replicates within each block. The replication structure is the same across all blocks.
A split plot design with randomised complete blocks. Main plot treatments are randomised within each block, and sub-plot treatments are randomised within each main plot. This two-stage randomisation reflects the hierarchical experimental structure.
A randomised complete block design with two crossed treatment factors. All combinations of factor A and factor B levels appear once in each block and are randomly allocated to plots.
A randomised block design where blocks can have different sizes. Control treatments appear in every block. The allocation algorithm ensures the design is connected (analysable).