proj2.efficiency {dae} | R Documentation |
Computes the canonical efficiency factors for the joint decomposition of two projectors
Description
Computes the canonical efficiency factors for the joint decomposition of two projectors (James and Wilkinson, 1971).
Usage
proj2.efficiency(Q1, Q2)
Arguments
Q1 |
An object of class " |
Q2 |
An object of class " |
Details
The nonzero canonical efficiency factors are the nonzero eigenvalues of
Q1 %*% Q2 %*% Q1 (James and Wilkinson, 1971). An eigenvalue is regarded as
zero if it is less than daeTolerance
, which is initially set to
.Machine$double.eps ^ 0.5
(about 1.5E-08).
The function set.daeTolerance
can be used to change
daeTolerance
.
Value
A vector
containing the nonzero canonical efficiency factors.
Author(s)
Chris Brien
References
James, A. T. and Wilkinson, G. N. (1971) Factorization of the residual operator and canonical decomposition of nonorthogonal factors in the analysis of variance. Biometrika, 58, 279-294.
See Also
efficiency.criteria
, proj2.eigen
, proj2.combine
in package dae,
eigen
.
projector
for further information about this class.
Examples
## PBIBD(2) from p. 379 of Cochran and Cox (1957) Experimental Designs.
## 2nd edn Wiley, New York
PBIBD2.unit <- list(Block = 6, Unit = 4)
PBIBD2.nest <- list(Unit = "Block")
trt <- factor(c(1,4,2,5, 2,5,3,6, 3,6,1,4, 4,1,5,2, 5,2,6,3, 6,3,4,1))
PBIBD2.lay <- designRandomize(allocated = trt,
recipient = PBIBD2.unit,
nested.recipients = PBIBD2.nest)
## obtain sets of projectors
unit.struct <- pstructure(~ Block/Unit, data = PBIBD2.lay)
trt.struct <- pstructure(~ trt, data = PBIBD2.lay)
## save intrablock efficiencies
eff.intra <- proj2.efficiency(unit.struct$Q[["Block"]], trt.struct$Q[["trt"]])