Nothing
context("CoGAPS")
checkCompare <- function(comp)
{
if (is(comp, "character"))
{
print(comp)
return(FALSE)
}
return(TRUE)
}
resultsEqual <- function(res1, res2)
{
checkCompare(all.equal(res1@featureLoadings, res2@featureLoadings, tolerance=0.1)) &
checkCompare(all.equal(res1@loadingStdDev, res2@loadingStdDev, tolerance=0.1)) &
checkCompare(all.equal(res1@sampleFactors, res2@sampleFactors, tolerance=0.1)) &
checkCompare(all.equal(res1@factorStdDev, res2@factorStdDev, tolerance=0.1))
checkCompare(all.equal(res1@metadata$atomsA, res2@metadata$atomsA)) &
checkCompare(all.equal(res1@metadata$atomsP, res2@metadata$atomsP))
}
test_that("same seed == same result",
{
gistMtxPath <- system.file("extdata/GIST.mtx", package="CoGAPS")
# standard cogaps
res1 <- CoGAPS(gistMtxPath, nIterations=100, outputFrequency=10, seed=42,
messages=FALSE)
res2 <- CoGAPS(gistMtxPath, nIterations=100, outputFrequency=10, seed=42,
messages=FALSE)
expect_true(resultsEqual(res1, res2))
# distributed cogaps
res1 <- CoGAPS(gistMtxPath, nIterations=100, outputFrequency=10, seed=42,
messages=FALSE, distributed="genome-wide")
res2 <- CoGAPS(gistMtxPath, nIterations=100, outputFrequency=10, seed=42,
messages=FALSE, distributed="genome-wide")
expect_true(resultsEqual(res1, res2))
# multiple threads, dense sampler
res1 <- CoGAPS(gistMtxPath, nIterations=100, outputFrequency=10, seed=42,
messages=FALSE, nThreads=1, sparseOptimization=FALSE)
res2 <- CoGAPS(gistMtxPath, nIterations=100, outputFrequency=10, seed=42,
messages=FALSE, nThreads=3, sparseOptimization=FALSE)
res3 <- CoGAPS(gistMtxPath, nIterations=100, outputFrequency=10, seed=42,
messages=FALSE, nThreads=6, sparseOptimization=FALSE)
expect_true(resultsEqual(res1, res2))
expect_true(resultsEqual(res1, res3))
expect_true(resultsEqual(res2, res3))
# multiple threads, sparse sampler
res1 <- CoGAPS(gistMtxPath, nIterations=100, outputFrequency=10, seed=42,
messages=FALSE, nThreads=1, sparseOptimization=TRUE)
res2 <- CoGAPS(gistMtxPath, nIterations=100, outputFrequency=10, seed=42,
messages=FALSE, nThreads=3, sparseOptimization=TRUE)
res3 <- CoGAPS(gistMtxPath, nIterations=100, outputFrequency=10, seed=42,
messages=FALSE, nThreads=6, sparseOptimization=TRUE)
expect_true(resultsEqual(res1, res2))
expect_true(resultsEqual(res1, res3))
expect_true(resultsEqual(res2, res3))
})
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