WangS {QTL.gCIMapping}

The second step of wang method

Description

The second step of wang method

Usage

WangS(
  flag = NULL,
  CriLOD = NULL,
  NUM = NULL,
  pheRaw = NULL,
  chrRaw_name = NULL,
  yygg = NULL,
  mx = NULL,
  phe = NULL,
  chr_name = NULL,
  gen = NULL,
  mapname = NULL,
  CLO = NULL
)

Arguments

flag

fix or random model.

CriLOD

Critical LOD scores for significant QTL.

NUM

The number of trait.

pheRaw

Raw phenotype matrix.

chrRaw_name

raw chromosome name.

yygg

covariate matrix.

mx

raw genotype matrix.

phe

phenotype matrix.

chr_name

chromosome name.

gen

genotype matrix.

mapname

linkage map matrix.

CLO

Number of CPUs.

Value

a list

Examples

data(DHdata)
readraw<-Readdata(file=DHdata,fileFormat="GCIM",
method="GCIM",filecov=NULL,MCIMmap=NULL,MultiEnv=FALSE)
DoResult<-Dodata(fileFormat="GCIM",Population="DH",
method="GCIM",Model="Random",readraw,MultiEnv=FALSE)
W1re<-WangF(pheRaw=DoResult$pheRaw,genRaw=DoResult$genRaw,
mapRaw1=DoResult$mapRaw1,yygg1=DoResult$yygg1,
flagRIL=DoResult$flagRIL,cov_en=DoResult$cov_en,
Population="DH",WalkSpeed=1,CriLOD=2.5)
ws<-WangS(flag=DoResult$flag,CriLOD=2.5,NUM=1,
pheRaw=DoResult$pheRaw,chrRaw_name=W1re$chrRaw_name,
yygg=W1re$yygg,mx=W1re$mx,phe=W1re$phe,
chr_name=W1re$chr_name,gen=W1re$gen,
mapname=W1re$mapname,CLO=1)