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Within CycDesigN, the CycAnalysis feature enables you to produce both Genstat and SAS code so that you can analyse most of the generated designs. This covers the main design types, such as resolvable and non-resolvable designs, partially replicated and crossover designs. It also includes all of the different treatment structures, namely single factor, factorial and nested.


Resolvable designs

Where possible it is usually advantageous to construct resolvable designs.  With such designs a term for replicates can be included in the analysis to remove extraneous variation in a very efficient manner; we say that replicates and treatments are orthogonal to each other.

Neighbour balance and evenness of distribution

A common problem with classical randomized row-column designs is that replications of a treatment may be clustered together or appear as self-diagonals and some pairs of treatments may appear next to each other rather more often than others.

A spatial (NB&ED) block design or row-column design takes into account the separation of different treatments in blocks. CycDesigN can adapt block and row-column designs to achieve good neighbour balance and evenness of distribution.

Link to reference article: Generating row-column field experimental designs with good neighbour balance and even distribution of treatment replications