argn = list(PHENO=envir$phe[,pheno], genotypes=geno, id=id, fullkins=envir$KIN,
covariates=covariates, sqrtweights_c=sqrtweights_c, sqrtweights_r=sqrtweights_r,
binomialimpute=binomialimpute, acc=acc, maf=maf, phi=phi)
tim = system.time ({
skat = do.call(famSKAT_RC, argn)
})
0) Done with this menu - please proceed
1) Select input file format: PLINK binary PED format (bed)
2) Enter PLINK parameters: --missing-phenotype -9 --trait default
3) Input file stem: bed
4) Binary data file: (PLINK .bed) [required] bed.bed
5) Pedigree file: (PLINK .fam) [required] bed.fam
6) PLINK map file: (PLINK .bim) [required] bed.bim
7) Phenotype file: (PLINK .phe) [optional] _
FID IID P1 P2 T1 T2
1 1 0 0 1 21.2
1 2 0 0 2 1.3
1 3 0 0 1 0.9
> ENV <- read.Mega2DB("dbmega2.db")
> p <- mkphenotype(ENV)
> head(p)
FID IID P1 P2 T1 T2 default
1 1 1 0 0 1 21.2 0
2 1 2 0 0 2 1.3 0
3 1 3 0 0 1 0.9 0
4 1 4 1 2 2 19.1 0
5 1 5 1 2 1 18.3 0
6 1 6 0 0 2 0.7 0