WangS | R Documentation |
The second step of wang method
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 )
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. |
a list
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)
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