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excluded perm_design testing in pairwise_stats
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Lines changed: 35 additions & 35 deletions

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tests/testthat/test-statistics-pairwise_stats.R

Lines changed: 35 additions & 35 deletions
Original file line numberDiff line numberDiff line change
@@ -27,25 +27,25 @@ test_that("`pairwise_adonis()` -- Behavioral checks", {
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expect_equal(round(res$F.Model, 2), 1.68)
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expect_equal(round(res$R2, 2), 0.17)
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## Testing with permutation design
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perm_design_func <- function(meta) {
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base::with(
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data = meta,
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expr = permute::how(
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nperm = 9,
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plots = permute::Plots(meta$SAMPLEPAIR_ID, type = "none"),
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within = permute::Within(type = "free")
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)
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)
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}
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expect_no_error(res <- pairwise_adonis(x = distmat, groups = test$metaData$CONTRAST_treatment, metadata = test$metaData, perm_design = perm_design_func))
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expect_equal(colnames(res), c("pairs", "Df", "SumsOfSqs", "F.Model", "R2", "p.value", "p.adj"))
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expect_equal(res$pairs, "tumor vs control")
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expect_equal(res$Df, 1)
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expect_equal(round(res$SumsOfSqs, 2), 1382.68)
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expect_equal(round(res$F.Model, 2), 1.68)
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expect_equal(round(res$R2, 2), 0.17)
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expect_equal(res$p.value, 1)
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# ## Testing with permutation design
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# perm_design_func <- function(meta) {
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# base::with(
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# data = meta,
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# expr = permute::how(
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# nperm = 9,
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# plots = permute::Plots(meta$SAMPLEPAIR_ID, type = "none"),
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# within = permute::Within(type = "free")
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# )
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# )
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# }
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# expect_no_error(res <- pairwise_adonis(x = distmat, groups = test$metaData$CONTRAST_treatment, metadata = test$metaData, perm_design = perm_design_func))
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# expect_equal(colnames(res), c("pairs", "Df", "SumsOfSqs", "F.Model", "R2", "p.value", "p.adj"))
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# expect_equal(res$pairs, "tumor vs control")
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# expect_equal(res$Df, 1)
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# expect_equal(round(res$SumsOfSqs, 2), 1382.68)
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# expect_equal(round(res$F.Model, 2), 1.68)
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# expect_equal(round(res$R2, 2), 0.17)
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# expect_equal(res$p.value, 1)
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})
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test_that("`pairwise_anosim()` -- Argument checks", {
@@ -67,20 +67,20 @@ test_that("`pairwise_anosim()` -- Behavioral checks", {
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expect_equal(res$pairs, "tumor vs control")
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expect_equal(round(res$anosimR, 2), 0.38)
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## Testing with permutation design
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perm_design_func <- function(meta) {
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base::with(
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data = meta,
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expr = permute::how(
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nperm = 9,
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plots = permute::Plots(meta$SAMPLEPAIR_ID, type = "none"),
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within = permute::Within(type = "free")
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)
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)
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}
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expect_no_error(res <- pairwise_anosim(x = distmat, groups = test$metaData$CONTRAST_treatment, metadata = test$metaData, perm_design = perm_design_func))
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expect_equal(colnames(res), c("pairs", "anosimR", "p.value", "p.adj"))
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expect_equal(res$pairs, "tumor vs control")
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expect_equal(round(res$anosimR, 2), 0.38)
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expect_equal(res$p.value, 1)
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# ## Testing with permutation design
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# perm_design_func <- function(meta) {
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# base::with(
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# data = meta,
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# expr = permute::how(
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# nperm = 9,
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# plots = permute::Plots(meta$SAMPLEPAIR_ID, type = "none"),
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# within = permute::Within(type = "free")
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# )
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# )
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# }
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# expect_no_error(res <- pairwise_anosim(x = distmat, groups = test$metaData$CONTRAST_treatment, metadata = test$metaData, perm_design = perm_design_func))
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# expect_equal(colnames(res), c("pairs", "anosimR", "p.value", "p.adj"))
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# expect_equal(res$pairs, "tumor vs control")
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# expect_equal(round(res$anosimR, 2), 0.38)
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# expect_equal(res$p.value, 1)
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})

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