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CycDesigN

High quality scientific research starts with a well designed experiment. CycDesigN is a comprehensive experimental design package ideal for field, glasshouse, laboratory, clinical, and taste testing trials

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CycDesigN

Watch the video below to find out how you can use the experimental design software, CycDesigN, in field, glasshouse, laboratory, clinical and taste testing trials.

CycDesigN is a tool for generating optimal or near optimal experimental designs. Whether you are working with field, phenotypic platform, laboratory, clinical and taste testing trials, CycDesigN can be used to generate efficient designs.

Key Features of CycDesigN

Resolvable designs have the treatments arranged in groups of blocks or rows and columns such that each treatment occurs once in each set. They can be latinized, t-latinized or partially latinized.

Resolvable designs have the treatments arranged in groups of blocks or rows and columns such that each treatment occurs once in each set. They can be latinized, t-latinized or partially latinized.

Non-resolvable designs are available for situations where the design cannot be resolved into replicate groups.

Non-resolvable designs are available for situations where the design cannot be resolved into replicate groups.

Multi-location p-rep designs have test treatments appearing either zero, once or twice in each location, such that each of these treatments occur an equal number of times in the design.

Multi-location p-rep designs have test treatments appearing either zero, once or twice in each location, such that each of these treatments occur an equal number of times in the design.

Single location p-rep designs are an alternative to unreplicated designs. A number of standard treatments (controls) are typically included for comparative purposes and to provide an estimate of error.

Single location p-rep designs are an alternative to unreplicated designs. A number of standard treatments (controls) are typically included for comparative purposes and to provide an estimate of error.

Crossover designs are used when sequences of treatments are applied to several subjects over a number of time periods.

Crossover designs are used when sequences of treatments are applied to several subjects over a number of time periods.

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