efficiencies.p2canon: Extracts the canonical efficiency factors from a list of...

Description Usage Arguments Value Author(s) References See Also Examples

Description

Produces a list containing the canonical efficiency factors for the joint decomposition of two sets of projectors (Brien and Bailey, 2009) obtained using projs.2canon.

Usage

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efficiencies.p2canon(object, which = "adjusted")

Arguments

object

A list of class p2canon produced by projs.2canon.

which

A character string, either adjusted or pairwise. For adjusted, the canonical efficiency factor are adjusted for other projectors from Q2. For pairwise, they are the unadjusted canonical efficiency factors between pairs of projectors consisting of one projector from each of two sets.

Value

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

projs.2canon, summary.p2canon, proj2.efficiency, proj2.combine, proj2.eigen,
projs.structure in package dae, eigen.

projector for further information about this class.

Examples

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## 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 <- fac.layout(unrandomized = PBIBD2.unit, 
                         nested.factors=PBIBD2.nest, 
                         randomized = trt)

##obtain projectors using projs.structure
Q.unit <- projs.structure(~ Block/Unit, data = PBIBD2.lay)
Q.trt <- projs.structure(~ trt, data = PBIBD2.lay)

##obtain combined decomposition and summarize
unit.trt.p2canon <- projs.2canon(Q.unit, Q.trt)
efficiencies.p2canon(unit.trt.p2canon)

dae documentation built on May 19, 2017, 4:09 p.m.

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