type2.p: Parallel for the analyses of statistics of each individual

In ParallABEL: Parallel of Genome-Wide Association function

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")


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

ParallABEL documentation built on May 2, 2019, 4:43 p.m.