cal.pc.projectionreplace.missing to for_parallel.R from principal.component.Rread.bed, read.bed, fst.each.snp.hudson and fst.hudson.cal.pc.linear and rubikclust.cal.pc.linear A function for linear principal component analysis (PCA)fst.each.snp.hudson A function for fixation index (Fst) calculation for
all SNPs between two groups.fst.hudson A function for average fixation index (Fst) calculation
between two groups.plot3views A function to create scatter plots in three views.read.bed Read the binary PLINK format (BED, BIM, and FAM)rubikclust A function for unsupervised clustering to detect rough
structures and outliers.write.bed Write an list of SNP object to the binary PLINK format (BED,
BIM, and FAM)xxt A function for calculating matrix multipication between a matrix and
its transpose for large data.simsnp Synthetic dataset containing single nucleotide polymorphisms
(SNP)sample_labels Synthetic dataset containing population labels for the
dataset simsnp.example_SNP.bed Synthetic dataset containing single nucleotide polymorphisms
(SNP) in binary formatexample_SNP.bim Simulated SNP informationexample_SNP.fam Simulated sample informationFrom the initial idea, some functions were changed their names:
cal.PC.linear was changed to cal.pc.linear.plot.3views was changed to plot3views.rubikClust was changed to rubikclust.XXt was changed to xxt.