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quantifySNPs converts trinary snps to frequency data
quantifySNPs(snps, freqthresh = 0.1, shiftit = FALSE, replaceWithF = T, traitvecin = NA, trainvec = NA)
input matrix
remove snps below this frequency
shift the snps to smooth the estimate
replaces snps with frequency values
map snps to trait vector
defines training data
matrix is output
# NOT RUN { mat <- matrix(c(0,1,2,0,0,1,2,2,2),ncol=3) wmat<-quantifySNPs( mat , freqthresh=0) # }
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