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#$Author: sinnwell $
#$Date: 2006/03/08 16:37:23 $
#$Header: /people/biostat3/sinnwell/Projects/IBDReg/Make/RCS/linkage.tests.B0.q,v 1.1 2006/03/08 16:37:23 sinnwell Exp $
#$Locker: $
#$Log: linkage.tests.B0.q,v $
#Revision 1.1 2006/03/08 16:37:23 sinnwell
#Initial revision
#
######################################
# Jason Sinnwell, Daniel Schaid
# Div of Biostatistics
# Mayo Clinic, HSR 2005
######################################
linkage.tests.B0 <- function(y.mat, xvec, ibdvar.lst) {
# pre-calculate the mean ibd sharing, the intercept for the linear model
cvy.mat <- matrix(0,nrow=length(ibdvar.lst), ncol=ncol(y.mat))
cvc.vec <- rep(0, ncol(y.mat))
ped.start <- 0
for(ped in 1:length(ibdvar.lst)) {
# row number corresponding to persons in pedigree ped
this.ped <- (ped.start+1):(ped.start+ibdvar.lst[[ped]]$n)
if(!is.na(ibdvar.lst[[ped]]$rank) & length(this.ped)>0) {
#cat('ped', ped, '\n')
# save portions of Bo hat calculation, contributed by each ped
cvy.mat[ped,] <- t(xvec[this.ped])%*%ibdvar.lst[[ped]]$sv.ginv%*%y.mat[this.ped,,drop=FALSE]
cvc.vec[ped] <- t(xvec[this.ped])%*%ibdvar.lst[[ped]]$sv.ginv%*%xvec[this.ped]
}
# re-set ped.start to be last person from ped
ped.start <- ped.start+ibdvar.lst[[ped]]$n
}
apply(cvy.mat, 2, sum)/sum(cvc.vec, na.rm=TRUE)
}
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