infoDecompuTE (version 0.6.2)

infoDecompMat: Construct the Matrix from Information Decomposition

Description

Perform the information decomposition for either the block or treatment effects within a single stratum.

Usage

infoDecompMat(z, T, N)

Arguments

z

a matrix containing the orthogonal projector for a single stratum generated by makeOrthProjectors.

T

a list of contrast matrices generated by makeContrMat.

N

a matrix containing the design matrix generated by makeOverDesMat.

Value

A list of matrices.

Details

The main purpose of this function is to construct a list of resultant matrices associated with each source of variation after the information decomposition.

This list of matrices are then used to compute the coefficient of the variance components in the expected mean squares.

Examples

# NOT RUN {
design1 <- local({ 
  Ani = as.factor(LETTERS[c(1,2,3,4,
                            5,6,7,8)])
  Trt = as.factor(letters[c(1,1,1,1,
                            2,2,2,2)])
  data.frame(Ani, Trt, stringsAsFactors = TRUE )
})

blk.str = "Ani"
    
rT = terms(as.formula(paste("~", blk.str, sep = "")), keep.order = TRUE) 
blkTerm = attr(rT,"term.labels")
     
Z = makeBlkDesMat(design1, blkTerm)
Pb = makeOrthProjectors(Z)

trt.str = "Trt"              
fT <- terms(as.formula(paste("~", trt.str, sep = "")), keep.order = TRUE)  #fixed terms

trtTerm <- attr(fT, "term.labels")
effectsMatrix <- attr(fT, "factors")        

T <- makeContrMat(design1, trtTerm, effectsMatrix, contr.vec = NA)

N =  makeOverDesMat(design1, trtTerm)


infoDecompMat(Pb[[1]], T, N)


# }