tests/testthat/test_load_kraken_assignment.R

#
# load Kraken assignment #1
#
dat <- load_edge_assignment(file.path("../test_data/SSputum-dil-DNase-cDNA/kraken_mini/",
        "allReads-kraken_mini.list.txt"), type = 'kraken')

# columns import test
expect_that( dim(dat)[1], equals(2977) )

#rows import test
expect_that( dim(dat)[2], equals(4) )

# col names test
expect_that(colnames(dat), equals( c("LEVEL", "TAXA", "COUNT", "ABUNDANCE") ) )

# [0.0] subset family
family_table <- dplyr::filter( dat, LEVEL == "family")

# [0.1] subset taxa
ent_row <- dplyr::filter( family_table, TAXA == "Propionibacteriaceae")

# [0.2] test
# family Propionibacteriaceae 4123 8 31957
expect_that(ent_row$COUNT, equals(4123))
expect_that(ent_row$ABUNDANCE, equals(0.2913297))

#
# test the failure
#
expect_that(load_edge_assignment("../test_data/nonexistentfile.txt", type = 'kraken'), throws_error())

#
# test an empty file
#
empty_df <- load_edge_assignment("../test_data/an_empty_file.tsv", type = 'kraken')
expect_that(colnames(empty_df), equals( c("LEVEL", "TAXA", "COUNT", "ABUNDANCE") ) )
expect_that(dim(empty_df)[1], equals(0) )
LANL-Bioinformatics/MetaComp documentation built on May 8, 2019, 4:51 p.m.