R/kris.R

In KRIS: Keen and Reliable Interface Subroutines for Bioinformatic Analysis

#' Keen and Reliable Interface Subroutines for bioinformatic analysis
#'
#' Provides useful functions which are needed for bioinformatic analysis such as
#' calculating linear principal components from numeric data and
#' Single-nucleotide polymorphism (SNP) dataset, calculating fixation index
#' (Fst) using Hudson method, creating scatter plots in 3 views, handling with
#' PLINK binary file format, detecting rough structures and outliers using
#' unsupervised clustering, and calculating matrix multiplication in the faster
#' way for big data.
#'
#' The R package \pkg{KRIS} requires the package \pkg{rARPACK}.
#'
#' Here is the list of functions in the R package \pkg{KRIS}:
#' \itemize{
#' \item \code{\link{cal.pc.linear}}
#' \item \code{\link{cal.pc.projection}}
#' \item \code{\link{fst.each.snp.hudson}}
#' \item \code{\link{fst.hudson}}
#' \item \code{\link{plot3views}}
#' \item \code{\link{read.bed}}
#' \item \code{\link{rubikclust}}
#' \item \code{\link{write.bed}}
#' \item \code{\link{xxt}}
#' }
#'
#' Moreover, here is the list of example datasets in the R package \pkg{KRIS}:
#' \itemize{
#' \item \code{\link{simsnp}}
#' \item \code{\link{sample_labels}}
#' }
#' @keywords internal
#' @import rARPACK
"_PACKAGE"
#> [1] "_PACKAGE"

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