optBlockC {choiceDes}  R Documentation 
Optimal design blocking
Description
INTERNAL: Simplified wrapper for blocking of experimental designs using optBlock
in the
AlgDesign package.
Usage
optBlockC(withinData, blocksizes, nRepeats=5)
Arguments
withinData 
A matrix or data frame describing the variables. Data types allowed include: factors,
effectscoded designs, or dummycoded designs. Other data types will lead to errors or unbalanced designs.
If the columns are not named, they will be assumed to have the names X1, X2, etc. The number of rows in

blocksizes 
A vector giving the block sizes for each block. The length of 
nRepeats 
The number of times the entire process is repeated. 
Details
Simplified wrapper for optBlock
that optimizes blocks on a preexisting design or a set of factors using
the D
criterion. Does not permit whole plot factors to interact with within plot factors. See
optBlock
for additional details.
Value
D 
det(M)^(1/k), where det(M) is the determinant of the normalized dispersion matrix M, or m=X'X/N, where each row of X has the appropriate block mean subtracted. 
diagonality 
M/P^(1/k), where P is the product of the diagonal elements of M. 
Blocks 
A list of blocks, labeled B1, B2, etc. 
design 
A data frame. The design with blocks in stacked order. 
rows 
Numeric row numers of the design rows corresponding to 
References
Wheeler, R.E. (2004). optBlock. AlgDesign. The R project for statistical computing. (http://www.rproject.org).
Examples
##INTERNAL USE ONLY