Keen and Reliable Interface Subroutines for Bioinformatic Analysis

Documentation for package ‘KRIS’ version 1.1.6

cal.pc.linear	Calculate linear principal component analysis (PCA) from numeric data and Single-nucleotide polymorphism (SNP) dataset
cal.pc.projection	Calculate linear principal component analysis (PCA) with a projection method for Single-nucleotide polymorphism (SNP) dataset.
fst.each.snp.hudson	Calculate the fixation index (Fst) for all SNPs between two groups of individuals from Single-nucleotide polymorphism (SNP)
fst.hudson	Calculate the average fixation index (Fst) between two groups of individuals from Single-nucleotide polymorphism (SNP)
plot3views	Create scatter plots in three views.
read.bed	Read the binary PLINK format (BED, BIM, and FAM)
replace.missing	(Internal) Replace missing values with other values,internally used for parallelization
rubikclust	Unsupervised clustering to detect rough structures and outliers.
sample_labels	Synthetic dataset containing population labels for the dataset simsnp.
simsnp	Synthetic dataset containing single nucleotide polymorphisms (SNP)
write.bed	Write a list of SNP object to the binary PLINK format (BED, BIM, and FAM)
xxt	Calculate matrix multipication between a matrix and its transpose for large data.