`GAPIT.Liner` <-
function(Y,GD,CV){
#Object: To have Y, GD and CV the same size and order
#Input: Y,GDP,GM,CV
#Input: GD - n by m +1 dataframe or n by m big.matrix
#Input: GDP - n by m matrix. This is Genotype Data Pure (GDP). THERE IS NOT COLUMN FOR TAXA.
#Input: orientation-Marker in GDP go colmun or row wise
#Requirement: Y, GDP and CV have same taxa order. GDP and GM have the same order on SNP
#Output: GWAS,GPS,Pred
#Authors: Zhiwu Zhang
# Last update: Febuary 24, 2013
##############################################################################################
#print("GAPIT.Liner Started")
#print(date())
#print("Memory used at begining of BUS")
#print(memory.size())
#print("dimension of Y,GD and CV at begining")
#print(dim(Y))
#print(dim(GD))
#print(dim(CV))
if(!is.null(CV))taxa=intersect(intersect(GD[,1],Y[,1]),CV[,1])
if(is.null(CV))taxa=intersect(GD[,1],Y[,1])
Y=Y[match(taxa, Y[,1], nomatch = 0),]
GD=GD[match(taxa, GD[,1], nomatch = 0),]
if(!is.null(CV)) CV=CV[match(taxa, CV[,1], nomatch = 0),]
Y = Y[order(Y[,1]),]
GD = GD[order(GD[,1]),]
if(!is.null(CV)) CV = CV[order(CV[,1]),]
#print("dimension of Y,GD and CV at end")
#print(dim(Y))
#print(dim(GD))
#print(dim(CV))
print("GAPIT.Liner accomplished successfully")
return (list(Y=Y,GD=GD,CV=CV))
}#The function GAPIT.Liner ends here
#=============================================================================================
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