tests/testthat/test_hiloadings.R

library("pcaExplorer")
library("DESeq2")

context("Check that genes with hi loadings are extracted")

dds <- makeExampleDESeqDataSet(n = 1000, m = 8)
rlt <- rlogTransformation(dds)
pcaobj <- prcomp(t(SummarizedExperiment::assay(rlt)))
anno <- data.frame(gene_id = rownames(dds), gene_name = toupper(rownames(dds)), stringsAsFactors = FALSE, row.names = rownames(dds))

hi_loadings(pcaobj, 1)
# dev.off()

test_that("Hi loadings are computed", {
  expect_is(hi_loadings(pcaobj, 1, exprTable = counts(dds)), "matrix")
  expect_true(all(rownames(hi_loadings(pcaobj, 1, exprTable = counts(dds), annotation = NULL)) %in% rownames(dds)))
  expect_true(all(rownames(hi_loadings(pcaobj, 1, exprTable = counts(dds), annotation = anno)) %in% anno$gene_name))
})

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pcaExplorer documentation built on Nov. 8, 2020, 5:29 p.m.