Construction of block designs by CycDesigN

This menu uses the CycDesigN package for the computer generation of experimental designs to form a block design with a single treatment factor. See the CycDesigN manual or the book "Cyclic and Computer Generated Designs" by John & Williams (1995) for more details about the underlying methods and theory.

Number of treatments

A scalar specifying the number of treatments.

Number of replicates

A scalar specifying the number of replicates of each treatment.

Number of units per block

A scalar specifying the number of units in each block.

Seed

A scalar specifying a seed for the random numbers used by CycDesigN to randomize the design.

Store design in spreadsheet

Whether to put the design factors into a spreadsheet.

Printed output

designdisplays the design
reportdisplays a report from CycDesigN about the design

Resolvable

Whether or not to form a resolvable design i.e. one where the blocks can be partitioned into sets, each of which contains a single replicate of each treatment combination.

Alpha design if resolvable

Whether to construct an alpha design for a resolvable design.

Cyclic design if non-resolvable

Whether to construct a cyclic design for a non-resolvable design.

Latinize design if resolvable

If this is set to 1, the design is latinized. The replicates are assumed to be set out in a grid, with the blocks running downwards, and the treatments are allocated to occur as equally as possible in each block. If it is set to an integer value t greater than 1 (and less than the number of blocks) a t-latinized design is produced, in which the treatments occur as equally as possible in groups of t adjacent blocks. The structure of the grid of replicates is defined by the variate specified by Numbers of replicates in each column (for latinizing).

Numbers of replicates in each column (for latinizing)

This defines the layout of the replicates when the design is to be latinized. The idea is that the replicates are arranged in adjacent columns. Therefore this should be set to a variate whose values specify the numbers of replicates in each of the columns in turn, running from left to right across the field. If this is unset, the replicates are assumed to be in a single column.

Treatments

A factor to save the levels generated for the treatment factor.

Replicates

A factor to save the levels generated for the replicate factor.

Blocks

A factor to save the levels generated for the block factor.

Units

A factor to save the the levels generated for the unit-within-block factor.