Nothing
context("int_neighbor")
#load data
colkas <- qtl::read.cross(format="csvs",dir="./",genfile="ColKas_geno.csv",phefile = "ColKas_pheno.csv",
na.strings = c("_"), estimate.map=TRUE, crosstype = "riself")
colkas <- colkas[1:2,1:50]
colkas_genoprob <- qtl::calc.genoprob(colkas, step=4)
x <- colkas$pheno[,2]
y <- colkas$pheno[,3]
smap_colkas <- data.frame(x,y)
#F2
set.seed(1234)
data("fake.f2",package="qtl")
fake_f2 <- fake.f2[1:2,1:50]
smap_f2 <- cbind(runif(qtl::nind(fake_f2),1,100),runif(qtl::nind(fake_f2),1,100))
genoprobs_f2 <- qtl::calc.genoprob(fake_f2,step=4)
#backcross
set.seed(1234)
data("fake.bc",package="qtl")
fake_bc <- fake.bc[1:2,1:50]
smap_bc <- cbind(runif(qtl::nind(fake_bc),1,100),runif(qtl::nind(fake_bc),1,100))
genoprobs_bc <- qtl::calc.genoprob(fake_bc,step=4)
test_that(
desc = "LOD_range",
code = {
colkas_int <- int_neighbor(genoprobs=colkas_genoprob,
pheno=log(colkas$pheno[,5]+1),
smap=smap_colkas, scale=7,
addcovar=as.matrix(colkas$pheno[,7:9]),
addQTL=c("c1_nga280"), intQTL="c1_nga280")
f2_int <- int_neighbor(genoprobs=genoprobs_f2,
pheno=fake_f2$pheno[,1],
smap=smap_f2, scale=20,
addcovar=as.matrix(fake_f2$pheno$sex),
addQTL=c("c1_D1M318","c1_D1M212"), intQTL="c1_D1M212",
grouping=fake_f2$pheno$sex)
bc_int <- int_neighbor(genoprobs=genoprobs_bc,
pheno=fake_bc$pheno[,1],
smap=smap_bc, scale=59,
addcovar=as.matrix(cbind(fake_bc$pheno$sex,fake_bc$pheno$age)),
addQTL=c("c1_D1M318","c1_D1M212"), intQTL="c1_D1M212")
expect_true(all(colkas_int$LOD_self>=0))
expect_true(all(f2_int$LOD_self>=0))
expect_true(all(bc_int$LOD_self>=0))
expect_true(all(colkas_int$LOD_nei>=0))
expect_true(all(f2_int$LOD_nei>=0))
expect_true(all(bc_int$LOD_nei>=0))
}
)
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