| efficiencies {dae} | R Documentation | 
Extracts the canonical efficiency factors from a pcanon.object or a p2canon.object.
Description
Produces a list containing the canonical efficiency factors 
for the joint decomposition of two or more sets of projectors 
(Brien and Bailey, 2009) obtained using designAnatomy or 
projs.2canon.
Usage
## S3 method for class 'pcanon'
efficiencies(object, which = "adjusted", ...)
## S3 method for class 'p2canon'
efficiencies(object, which = "adjusted", ...)Arguments
| object | A  | 
| which | A character string, either  | 
| ... | Further arguments passed to or from other methods. Unused at present. | 
Value
For a pcanon.object, a list with a component for each component of 
object, except for the last component – for more information about the components 
see pcanon.object .
For a p2canon object, a list with a component for each element of the Q1 
argument from projs.2canon. Each component is list, each its components 
corresponding to an element of the Q2 argument from projs.2canon
Author(s)
Chris Brien
References
Brien, C. J. and R. A. Bailey (2009). Decomposition tables for multitiered experiments. I. A chain of randomizations. The Annals of Statistics, 36, 4184 - 4213.
See Also
designAnatomy, summary.pcanon, proj2.efficiency, proj2.combine, proj2.eigen,  
 
pstructure 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 combined decomposition using designAnatomy and get the efficiencies
unit.trt.canon <- designAnatomy(list(unit=~ Block/Unit, trt=~ trt), data = PBIBD2.lay)
efficiencies.pcanon(unit.trt.canon)
##obtain the projectors for each formula using pstructure
unit.struct <- pstructure(~ Block/Unit, data = PBIBD2.lay)
trt.struct <- pstructure(~ trt, data = PBIBD2.lay)
##obtain combined decomposition projs.2canon and get the efficiencies
unit.trt.p2canon <- projs.2canon(unit.struct$Q, trt.struct$Q)
efficiencies.p2canon(unit.trt.p2canon)