pp <- empty
poplin_data_list(pp) <- poplin_data_list(faahko_poplin)
test_that("poplin_reduce works.", {
pp2 <- pp
pp2 <- poplin_reduce(pp2, xin = "knn_cyclic", xout = "pca")
expect_identical(poplin_reduced_names(pp2), "pca")
m <- poplin_data(pp2, "knn_cyclic")
out <- poplin_reduce(m)
expect_identical(poplin_reduced(pp2, "pca"), out)
skip_if_not_installed("Rtsne")
set.seed(100)
pp2 <- poplin_reduce(pp2, xin = "knn_cyclic", xout = "tsne",
method = "tsne", perplexity = 3)
expect_identical(poplin_reduced_names(pp2), c("pca", "tsne"))
m <- poplin_data(pp2, "knn_cyclic")
set.seed(100)
out <- poplin_reduce(m, method = "tsne", perplexity = 3)
expect_identical(poplin_reduced(pp2, "tsne"), out)
})
test_that("reduce_pca works.", {
pp2 <- pp
## Non-missing
pp2 <- reduce_pca(pp2, xin = "knn_cyclic", xout = "svd")
expect_identical(poplin_reduced_names(pp2), "svd")
m <- poplin_data(pp2, "knn_cyclic")
out <- reduce_pca(m)
expect_identical(poplin_reduced(pp2, "svd"), out)
out2 <- reduce_pca(m, ncomp = 3)
expect_false(isTRUE(all.equal(out, out2)))
## Missing
skip_if_not_installed("pcaMethods")
pp2 <- reduce_pca(pp2, xin = "raw_filled", xout = "nipals")
expect_identical(poplin_reduced_names(pp2), c("svd", "nipals"))
m <- poplin_raw(pp2, "raw_filled")
out <- reduce_pca(m)
expect_identical(poplin_reduced(pp2, "nipals"), out)
out2 <- reduce_pca(m, ncomp = 3)
expect_false(isTRUE(all.equal(out, out2)))
})
test_that("reduce_tsne works.", {
skip_if_not_installed("Rtsne")
pp2 <- pp
## Non-missing
set.seed(100)
pp2 <- reduce_tsne(pp2, xin = "knn_cyclic", xout = "tsne", perplexity = 3)
expect_identical(poplin_reduced_names(pp2), "tsne")
m <- poplin_data(pp2, "knn_cyclic")
set.seed(100)
out <- reduce_tsne(m, perplexity = 3)
expect_identical(poplin_reduced(pp2, "tsne"), out)
set.seed(1000)
out2 <- reduce_tsne(m, perplexity = 3)
expect_false(isTRUE(all.equal(out, out2)))
## Missing
expect_error(pp2 <- reduce_tsne(pp2, xin = "raw", xout = "tsne"))
})
test_that("reduce_plsda works.", {
skip_if_not_installed("pls")
pp2 <- pp
y <- factor(colData(pp2)$sample_group, levels = c("WT", "KO"))
## Non-missing
pp2 <- reduce_plsda(pp2, xin = "knn_cyclic", xout = "plsda", y = y)
expect_identical(poplin_reduced_names(pp2), "plsda")
m <- poplin_data(pp2, "knn_cyclic")
out <- reduce_plsda(m, y = y)
expect_identical(poplin_reduced(pp2, "plsda"), out)
out2 <- reduce_plsda(m, y = y, ncomp = 3)
expect_false(isTRUE(all.equal(out, out2)))
## Missing in y
y2 <- y
y2[1] <- NA
expect_error(pp2 <- reduce_plsda(pp2, xin = "knn_cyclic", xout = "plsda",
y = y2))
## Missing in x
expect_error(pp2 <- reduce_plsda(pp2, xin = "raw", xout = "plsda", y = y))
})
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