Nothing
library(igraph)
library(martini)
test_that("output is as expected", {
cones <- scones.cv(gwas, gi)
expect_equal(dim(cones), dim(minigwas$map) + c(0,3))
expect_equal(class(cones), "data.frame")
expect_equal(class(cones$selected), "logical")
expect_equal(class(cones$c), "numeric")
expect_equal(class(cones$module), "numeric")
})
test_that("we recover causal SNPs", {
gi <- get_GI_network(minigwas, snpMapping = minisnpMapping, ppi = minippi)
cones <- scones.cv(minigwas, gi, etas = 0, lambdas = 0)
# wrong eta and lambda return the trivial solution
expect_equal(sum(cones$selected), sum(cones$c > 0))
cones <- scones.cv(minigwas, gi,
etas = seq(2, 0, length=10),
lambdas = seq(2, 0, length=10))
skip_on_os("windows")
expect_equal(sum(cones$selected), sum(grepl("[AC]", cones$snp)))
scores <- martini:::single_snp_association(minigwas, data.frame(), 'chi2')
c <- cones$c
names(c) <- cones$snp
expect_equal(c, scores)
cones <- scones.cv(minigwas, gi,
etas = seq(2, 0, length=10),
lambdas = seq(2, 0, length=10),
criterion = 'bic')
skip_on_os("windows")
expect_equal(sum(cones$selected), sum(grepl("[AC]", cones$snp)))
c <- cones$c
names(c) <- cones$snp
expect_equal(c[cones$selected], scores[grepl("[AC]", names(scores))])
})
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