R: Keen and Reliable Interface Subroutines for Bioinformatic Analysis

# Keen and Reliable Interface Subroutines for Bioinformatic Analysis

## Documentation for package ‘KRIS’ version 1.1.6

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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.