R: Parallel for the analyses of statistics of each individual

type2.p {ParallABEL}R Documentation

Parallel for the analyses of statistics of each individual

Description

Parallel for the analyses of statistics of each individual, for example, summary statistics of genotype quality for each sample

Usage

type2.p(npro,fun,data,data_f,...)

Arguments

npro number of processors on compute nodes
fun function name will be processed such as hom
data object of snp.data-class
data_f file name that was saved the input object of snp.data-class, the object must be named "data"
... further arguments passed to function of fun argument

Author(s)

Unitsa Sangket, Yurii S. Aulchenko and Surakameth Mahasirimongkol

Examples

# Example 1 (summit job on R)
################################################
#clear working space
#clear working space
rm(list = ls())
library(GenABEL)
library(ParallABEL)
data(ge03d2.clean)
data <- ge03d2.clean[,]

npro=2 # npro = number of processors
fun=hom

output.p = type2.p(npro,fun,data)

output.p[1:5,]

mpi.quit(save="no")


#################################################

[Package ParallABEL version 0.1-0 Index]