type3.p: Parallel for the pairwise statistics derived from analyses...

In ParallABEL: Parallel of Genome-Wide Association function

Description

Parallel for pairwise statistics derived from analyses between each individual, for example genome-wide identity-by-state or genomic kinship analyses

Usage

type3.p(npro,fun,data,data_f,...)

Arguments

npro	number of processors on the compute-nodes
fun	function name will be processed such as ibs
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
rm(list = ls())

library(GenABEL)
library(ParallABEL)
data(srdta)
data <- srdta[,] 
npro=2 # npro = number of processors on the compute-nodes
fun=ibs

output.p = type3.p(npro,fun,data)

output.p[1:5,1:5]

mpi.quit(save="no")

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

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