Constructs a rowcolumn design using CycDesigN (R.W. Payne).
Options
PRINT = strings 
Controls printed output (design , report , factors ); default * i.e. none 

LEVELS = scalar or variate 
Numbers of levels of the treatment factors; if unset, takes the numbers of levels declared for the factors in the TREATMENTSTRUCTURE model 
NREPLICATES = scalar 
Number of replicates 
NROWS = scalar 
Number of rows 
NCOLUMNS = scalar 
Number of columns 
NGROUPS = variate 
Group sizes for a twofactor nested treatment structure 
TREATMENTFACTORS = factors 
Up to four factors to use in the treatment model: one factor for a oneway treatment model, two factors for a nested structure when NGROUPS is set, or two to four factors for a factorial treatment structure when NGROUPS is not set 
REPLICATES = factor 
Replicate factor 
ROWS = factor 
Row factor 
COLUMNS = factor 
Column factor 
RESOLVABLE = string 
Whether the design is resolvable (yes , no ); default no 
METHOD = string 
How to construct the design (onestage , twostage , unrestrictedtwostage ); default ones 
NRLATIN = scalar 
Number of contiguous rows to latinize; default 0 i.e. not latinized 
NCLATIN = scalar 
Number of contiguous columns to latinize; default 0 i.e. not latinized 
REPLATINGROUPS = variate 
Specifies the number of replicates in each column when constructing latinized designs; default * i.e. all in one column 
SPATIALMODEL = string 
Spatial model to use with a singletreatmentfactor resolvable design (integer , linearvariance , seconddifference , ev ); default * i.e. none 
EVDECAY = scalar 
Decay parameter to use when SPATIALMODEL=ev ; default 0.5 
WEIGHTS = variate 
Variate with two values specifying weightings for the main effects and for the interactions in factorial treatment structures; default !(1, 0.25) 
RCWEIGHTS = variate 
Variate with three values specifying weightings for the withinrowandcolumn, betweenrow and betweencolumn information; default has weight one for the withinrowandcolumn information, and the reciprocal of their numbers of levels for the rows and columns 
SEED = scalar or variate 
Scalar or variate with two values specifying seeds for the random numbers used by CycDesigN to search for the best design and to randomize it – if a scalar is specified the same seed is used for both purposes; default 0 i.e. set automatically 
SPREADSHEET = string 
Whether to put the design factors into a spreadsheet (design ); default * 
TIMELIMITS = scalar or variate 
A scalar or a variate containing up to three numbers defining the time in minutes to spend on the first phase, the second phase and the spatial phase of the search (if the 2nd or 3rd numbers are omitted they default to the maximum of those specified); default 1 
NRANDOMIZATIONS = scalar 
Number of randomizations to generate from the best design; default 1

TRIALS = factor 
Trials factor 
No parameters
Description
CycDesigN is a package for the computer generation of experimental designs, which constructs optimal or nearoptimal block and rowcolumn designs; see the book Cyclic and Computer Generated Designs by John & Williams (1995). CycDesigN can also operate as a batch program, that can be called from within Genstat. This program is distributed with Genstat, and there are procedures to call the program, read its output back into Genstat, and form the relevant design factors. There are also Genstat addin and resource files to define user menus, which can be downloaded from the VSNi website. However, before CycDesigN can be used, a license must be obtained; see vsni.co.uk/software/cycdesign for details.
This procedure, CDNROWCOLUMNDESIGN
, uses the CycDesigN algoriths to form a rowcolumn design. The treatment factors, whose values are to be formed, are specified by the TREATMENTFACTORS
option. This can be set to a single factor if you want a oneway treatment structure. Alternatively, if option NGROUPS
is set, you can supply two factors to define a nested model
factor_1 / factor_2
The group sizes (i.e. the number of levels of the second factor within each level of the first factor) are supplied by NGROUPS
, in a variate. Otherwise, if option NGROUPS
is not set, you can supply from two to four factors, to define a factorial model.
The LEVELS
option can be used to define the numbers of levels of the factors, as a scalar if there is only one factor, or as a variate if there are several. The levels specified in the variate are assumed to be in the same order as the order in which the factors occur in the TREATMENTFACTORS
list. LEVELS
can be omitted if the factors have already been been declared with the right numbers of levels. Alternatively, if you want only a single treatment factor, and do not want to save its generated levels, you can specify its number of levels using LEVELS
, and leave TREATMENTFACTORS
unset.
The NROWS
option can define the number of rows, and the ROWS
option can supply a factor to save the levels generated for the row factor. You can omit NROWS
if ROWS
is set to a factor that has already been defined with the correct number of levels. Similarly, the NCOLUMNS
option can define the number of columns, and the COLUMNS
option can supply a factor to save the levels generated for the column factor. Finally, the NREPLICATES
option can define the number of replicates of each treatment combination, and the REPLICATES
option can supply a factor to save the levels generated for a replication factor.
Printed output is controlled by the PRINT
option, with settings:
design 
to print the design, 

report 
to print a report by CycDesigN on the design, and 
factors 
to print the factor values. 
The RESOLVABLE
option controls whether or not the design is resolvable i.e. whether the rows and columns can be grouped into replicates, each of which contains a single replicate of each treatment combination. Suppose that there are v treatment combinations, k rows, s columns and r replicates of each treatment combination. Then in a nonresolvable design these numbers must satisfy the condition
v × r = k × s
whereas in a resolvable design the condition is
v = k × s.
By default the design search has a single stage. However, you can use the METHOD
option to request that two stages are used. The first constructs the column component design, and second forms the rowcolumn design. (At the second stage the column component design is not changed; this is achieved by allowing only treatment interchanges to take place within columns.) If METHOD=unrestrictedtwostage
, there is no restriction on the way in which the design is constructed during the first stage. Alternatively, if METHOD=twostage
, an alpha design is constructed during the first stage for a resolvable design, or a cyclic design is constructed during the first stage for a nonresolvable design.
You can set option NRLATIN
to request that the design is latinized by rows. If NRLATIN=1
, the replication of each treatment combination is equalized as far as possible within each row. Alternatively, setting NRLATIN
to n, say, aims to equalize the occurrence of the treatment combinations within each set of n contiguous rows. Similarly option NCLATIN
can request that the design is latinized by columns. By default, the replicates in a latinized design are assumed to be in a single row, side by side. The REPLATINGROUPS
option allows you to to define an alternative layout. For example, setting REPLATINGROUPS=!(1,2)
when you have three replicates, defines two columns of replicates, the first with one replicate (replicate 1), and the second with two replicates (replicate 2 alongside replicate 1, and replicate 3 below replicate 2).
The SPATIALMODEL
option lets you request that the construction of a resolvable design should take account of the separation of different treatments in rows and columns. The principle is that plots close together are assumed to be correlated more than plots further apart; a spatial model attempts to model this correlation decay. The criterion used to generate spatial designs is the neighbour efficiency factor of Williams (1985), which has been extended to twodimensional blocking structures by Williams, John & Whitaker (2005) and to cater for different decay functions. The available settings are
integer 
integer, 

linearvariance 
linear variance, 
seconddifference 
modified second difference, and 
ev 
modified exponential variance. 
The weights used with the first three settings are described by Williams (1985). The fourth setting, ev
, is appropriate for a model specifying an autoregressive variance matrix. Its decay parameter is specified by the EVDECAY
option; default 0.5. However, the spatial designs generated by CycDesigN are usually quite robust to the choice of weight function. Spatial models cannot be used with latinized designs.
The WEIGHTS
option and the RCWEIGHTS
option specify how to weight the importance of the information in the design. WEIGHTS
is used when the design has a factorial treatment structure, and RCWEIGHTS
is used when there is a single treatment factor or a nested treatment structure.
The WEIGHTS
option specifies a variate with two values to define how to weight the efficiencies of the terms when there is a factorial treatment structure. The first value defines a weight for the main effects (default 1), and the second defines a weight for the interactions (default 0.25) These defaults are the same as those used in the standalone CycDesigN system.
For designs without a factorial treatment structure, the RCWEIGHTS
option specifies a variate with three values to define the weightings to use for the withinrowandcolumn, betweenrow and betweencolumn information. By default, the withinrowandcolumn information is given a weight of one, the betweenrow information has a weight equal to the reciprocal of the number of levels of the row factor, and the betweencolumn information has a weight equal to the reciprocal of the number of levels of the column factor. These defaults are again the same as those in the standalone CycDesigN system.
The SEED
option lets you supply seeds for the random numbers to be used within CycDesigN to search for the best design and to randomize it. You can specify a variate with two values to supply a different seed for each purpose, or a scalar to use the same one for both. If a zero value is specified, the corresponding seed is set automatically. The default is the scalar zero.
By default only one randomization is done with the best design. However, you can use the NRANDOMIZATION
option to provide several randomizations of that design, for use in different trials. The TRIALS
option can save a factor to identify the trials.
You can set option SPREADSHEET=design
to put the design factors into a Genstat spreadsheet.
The TIMELIMITS
option can be set to a scalar or a variate containing up to three numbers to define the time in minutes to spend on the first phase, the second phase and the spatial phase of the design search. If the second or third numbers are omitted, they default to the maximum of those specified. The default is 1.
Options: PRINT
, LEVELS
, NREPLICATES
, NROWS
, NCOLUMNS
, NGROUPS
, TREATMENTFACTORS
, REPLICATES
, ROWS
, COLUMNS
, RESOLVABLE
, METHOD
, NRLATIN
, NCLATIN
, REPLATINGROUPS
, SPATIALMODEL
, EVDECAY
, SEED
, WEIGHTS
, RCWEIGHTS
, SPREADSHEET
, TIMELIMITS
, NRANDOMIZATION
, TRIALS
.
Parameters: none.
Method
The batch program CycDesRun is called using the SUSPEND
directive.
References
John, J.A. & Williams, E.R. (1995). Cyclic and Computer Generated Designs. London: Chapman and Hall.
Williams, E.R. (1985). A criterion for the construction of optimal neighbour designs. J.R. Statist. Soc. B, 47, 487497.
Williams, E.R., John, J.A. & Whitaker, D. (2005). Construction of resolvable spatial rowcolumn designs. Biometrics, 62, 103108.
See also
Procedures: CDNAUGMENTEDDESIGN
, CDNPREP
, CDNBLOCKDESIGN
, ARCSPLITPLOT
Commands for: Design of experiments.
Example
CAPTION 'CDNROWCOLUMNDESIGN example'; STYLE=meta FACTOR [LEVELS=25] treat FACTOR [LEVELS=5] row FACTOR [LEVELS=10] column FACTOR [LEVELS=2] rep CDNROWCOLUMNDESIGN [PRINT=design; TREATMENT=treat;\ REPLICATES=rep; ROWS=row; COLUMNS=column;\ RESOLVABLE=no; SEED=38417; TIMELIMITS=0.2]