context("test correlate")
data(ex_data)
metadata <- construct_metadata(ex_data,
compound_col = 'Metadata_compound',
conc_col = 'Metadata_concentration',
feature_cols = 2:68,
negative_control = "DMSO")
compound_data <- get_compound_data(ex_data, metadata)
negative_control <- get_negative_control(ex_data, metadata)
d_out <- calculate_d(compound_data, negative_control)
d_scale <- scale_d(d_out)
out <- correlate(d_scale, metadata)
out_full <- correlate(d_scale, metadata, return_max = FALSE)
test_that("correlate returns errors when expected",{
expect_error(correlate("string", "string"))
expect_error(correlate(d_scale, list(iris)))
expect_error(correlate(c(1,2,3), metadata))
})
test_that("correlate returns expected values",{
expect_true(class(out) == 'list')
expect_is(class(out[[1]]), 'character')
expect_equal(length(out), length(metadata$compounds))
expect_equal(names(out), colnames(d_scale))
expect_equal(length(out[[1]]), 1)
expect_equal(length(out_full[[1]]), 3)
})
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