GWLP | R Documentation |
Calculates GWLP using the formulae from Xu and Wu (2001)
GWLP(design, ...)
## S3 method for class 'design'
GWLP(design, kmax=design.info(design)$nfactors,
attrib.out=FALSE, with.blocks = FALSE, digits = NULL, ...)
## Default S3 method:
GWLP(design, kmax=ncol(design), attrib.out=FALSE, digits = NULL, ...)
design |
a design, not necessarily of class |
kmax |
the maximum word length requested |
attrib.out |
the detail added to the output (see Value section) |
with.blocks |
if |
digits |
the number of decimals to round to; |
... |
further arguments to generic |
Function GWLP
is much faster but also more inaccurate than the
function lengths
, which calculates numbers of words
for lengths 2 to 5 only. Note, however, that function lengths
can be faster for designs with very many rows.
If a design factor contains only some of the intended levels,
design
must be a data frame, and the factor must be an R
factor with the complete set of levels specified,
in order to make function GWLP
aware of the missing levels.
The GWLP
methods output a named vector with the numbers of generalized
words of lengths zero to kmax
. If attrib.out
is TRUE
,
this vector comes with the attributes B
and levels.info
,
the latter documenting the level situation of the design, the former
the distance distribution B (Xu and Wu 2001).
Hongquan Xu, Ulrike Groemping
Xu, H.-Q. and Wu, C.F.J. (2001). Generalized minimum aberration for asymmetrical fractional factorial designs. Annals of Statistics 29, 1066–1077.
See Also lengths
GWLP(L18)
GWLP(L18, attrib.out=TRUE)
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