Nothing
context('filter_funs')
test_that('filter limits work',{
context("cor_heatmap")
data(bpd_phy); data(bpd_clin)
set <- tidy_micro(otu_tabs = list("P" = bpd_phy), clinical = bpd_clin,
prev_cutoff = 5, ra_cutoff = 0.1, exclude_taxa = "Bacteria",
filter_summary = FALSE, count_summary = FALSE) %>%
filter(day == 7)
## Prev
expect_error(tidy_micro(otu_tabs = list("P" = bpd_phy), clinical = bpd_clin,
prev_cutoff = -5),
"Prevalence cutoff must be between 0 and 100")
expect_error(tidy_micro(otu_tabs = list("P" = bpd_phy), clinical = bpd_clin,
prev_cutoff = 105),
"Prevalence cutoff must be between 0 and 100")
expect_error(otu_filter(set, prev_cutoff = -5),
"Prevalence cutoff must be between 0 and 100")
expect_error(otu_filter(set, prev_cutoff = 105),
"Prevalence cutoff must be between 0 and 100")
## Prev
expect_error(tidy_micro(otu_tabs = list("P" = bpd_phy), clinical = bpd_clin,
ra_cutoff = -5),
"Relative abundance cutoff must be between 0 and 100")
expect_error(tidy_micro(otu_tabs = list("P" = bpd_phy), clinical = bpd_clin,
ra_cutoff = 105),
"Relative abundance cutoff must be between 0 and 100")
expect_error(otu_filter(set, ra_cutoff = -5),
"Relative abundance cutoff must be between 0 and 100")
expect_error(otu_filter(set, ra_cutoff = 105),
"Relative abundance cutoff must be between 0 and 100")
## Exclude
expect_error(tidy_micro(otu_tabs = list("P" = bpd_phy), clinical = bpd_clin,
exclude_taxa = -5),
"'exclue_taxa' should be a character or left as NULL")
expect_error(tidy_micro(otu_tabs = list("P" = bpd_phy), clinical = bpd_clin,
exclude_taxa = TRUE),
"'exclue_taxa' should be a character or left as NULL")
expect_error(otu_filter(set, exclude_taxa = -5),
"'exclue_taxa' should be a character or left as NULL")
expect_error(otu_filter(set, exclude_taxa = TRUE),
"'exclue_taxa' should be a character or left as NULL")
})
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