replace.missing

A charactors representing a missing value

missing

A vector of new values to replace missing values

(Internal) Replace missing values with other values,internally used for
parallelization

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.

Kridsadakorn Chaichoompu

KRIS

Keen and Reliable Interface Subroutines for Bioinformatic
Analysis

replace.missing: (Internal) Replace missing values with other values,internally used for parallelization

Description

Usage

Arguments

Value