mirror of https://github.com/msberends/AMR.git
224 lines
10 KiB
R
224 lines
10 KiB
R
context("mo.R")
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test_that("as.mo works", {
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library(dplyr)
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MOs <- AMR::microorganisms %>% filter(!is.na(mo), nchar(mo) > 3)
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expect_identical(as.character(MOs$mo), as.character(as.mo(MOs$mo)))
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expect_identical(
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as.character(as.mo(c("E. coli", "H. influenzae"))),
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c("B_ESCHR_COL", "B_HMPHL_INF"))
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expect_equal(as.character(as.mo("Escherichia coli")), "B_ESCHR_COL")
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expect_equal(as.character(as.mo("Escherichia coli")), "B_ESCHR_COL")
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expect_equal(as.character(as.mo("Escherichia species")), "B_ESCHR")
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expect_equal(as.character(as.mo("Escherichia")), "B_ESCHR")
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expect_equal(as.character(as.mo(" B_ESCHR_COL ")), "B_ESCHR_COL")
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expect_equal(as.character(as.mo("e coli")), "B_ESCHR_COL") # not Campylobacter
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expect_equal(as.character(as.mo("klpn")), "B_KLBSL_PNE")
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expect_equal(as.character(as.mo("Klebsiella")), "B_KLBSL")
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expect_equal(as.character(as.mo("K. pneu rhino")), "B_KLBSL_PNE_RHI") # K. pneumoniae subspp. rhinoscleromatis
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expect_equal(as.character(as.mo("Bartonella")), "B_BRTNL")
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expect_equal(as.character(as.mo("C. difficile")), "B_CTRDM_DIF")
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expect_equal(as.character(as.mo("L. pneumophila")), "B_LGNLL_PNE")
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expect_equal(as.character(as.mo("Strepto")), "B_STRPTC")
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expect_equal(as.character(as.mo("Streptococcus")), "B_STRPTC") # not Peptostreptoccus
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expect_equal(as.character(as.mo(c("GAS", "GBS"))), c("B_STRPTC_GRA", "B_STRPTC_GRB"))
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expect_equal(as.character(as.mo("S. pyo")), "B_STRPTC_PYO") # not Actinomyces pyogenes
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expect_equal(as.character(as.mo("P. aer")), "B_PDMNS_AER") # not Pasteurella aerogenes
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# GLIMS
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expect_equal(as.character(as.mo("bctfgr")), "B_BCTRD_FRA")
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expect_equal(as.character(as.mo("MRSE")), "B_STPHY_EPI")
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expect_equal(as.character(as.mo("VRE")), "B_ENTRC")
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expect_equal(as.character(as.mo("MRPA")), "B_PDMNS_AER")
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expect_equal(as.character(as.mo("PISP")), "B_STRPTC_PNE")
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expect_equal(as.character(as.mo("PRSP")), "B_STRPTC_PNE")
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expect_equal(as.character(as.mo("VISP")), "B_STRPTC_PNE")
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expect_equal(as.character(as.mo("VRSP")), "B_STRPTC_PNE")
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expect_equal(as.character(as.mo("CNS")), "B_STPHY_CNS")
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expect_equal(as.character(as.mo("CoNS")), "B_STPHY_CNS")
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expect_equal(as.character(as.mo("CPS")), "B_STPHY_CPS")
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expect_equal(as.character(as.mo("CoPS")), "B_STPHY_CPS")
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expect_equal(as.character(as.mo(c("Gram negative", "Gram positive"))), c("B_GRAMN", "B_GRAMP"))
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# prevalent MO
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expect_identical(
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as.character(
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as.mo(c("stau",
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"STAU",
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"staaur",
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"S. aureus",
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"S aureus",
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"Staphylococcus aureus",
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"MRSA",
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"VISA"))),
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rep("B_STPHY_AUR", 8))
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# unprevalent MO
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expect_identical(
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as.character(
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as.mo(c("buno",
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"BUNO",
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"burnod",
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"B. nodosa",
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"B nodosa",
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"Burkholderia nodosa"))),
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rep("B_BRKHL_NOD", 6))
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# empty values
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expect_identical(as.character(as.mo(c("", NA, NaN))), rep(NA_character_, 3))
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# too few characters
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expect_warning(as.mo("ab"))
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expect_equal(suppressWarnings(as.character(as.mo(c("Qq species", "", "CRS", "K. pneu rhino", "esco")))),
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c(NA_character_, NA_character_, "B_STNTR_MAL", "B_KLBSL_PNE_RHI", "B_ESCHR_COL"))
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# check for Becker classification
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expect_identical(as.character(guess_mo("S. epidermidis", Becker = FALSE)), "B_STPHY_EPI")
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expect_identical(as.character(guess_mo("S. epidermidis", Becker = TRUE)), "B_STPHY_CNS")
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expect_identical(as.character(guess_mo("STAEPI", Becker = TRUE)), "B_STPHY_CNS")
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expect_identical(as.character(guess_mo("S. intermedius", Becker = FALSE)), "B_STRPTC_INT") # Strep (!) intermedius
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expect_identical(as.character(guess_mo("Sta intermedius",Becker = FALSE)), "B_STPHY_INT")
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expect_identical(as.character(guess_mo("Sta intermedius",Becker = TRUE)), "B_STPHY_CPS")
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expect_identical(as.character(guess_mo("STAINT", Becker = TRUE)), "B_STPHY_CPS")
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# aureus must only be influenced if Becker = "all"
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expect_identical(as.character(guess_mo("STAAUR", Becker = FALSE)), "B_STPHY_AUR")
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expect_identical(as.character(guess_mo("STAAUR", Becker = TRUE)), "B_STPHY_AUR")
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expect_identical(as.character(guess_mo("STAAUR", Becker = "all")), "B_STPHY_CPS")
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# check for Lancefield classification
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expect_identical(as.character(guess_mo("S. pyogenes", Lancefield = FALSE)), "B_STRPTC_PYO")
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expect_identical(as.character(guess_mo("S. pyogenes", Lancefield = TRUE)), "B_STRPTC_GRA")
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expect_identical(as.character(guess_mo("STCPYO", Lancefield = TRUE)), "B_STRPTC_GRA") # group A
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expect_identical(as.character(guess_mo("S. agalactiae", Lancefield = FALSE)), "B_STRPTC_AGA")
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expect_identical(as.character(guess_mo("S. agalactiae", Lancefield = TRUE)), "B_STRPTC_GRB") # group B
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expect_identical(as.character(guess_mo("S. equisimilis", Lancefield = FALSE)), "B_STRPTC_DYS_EQU")
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expect_identical(as.character(guess_mo("S. equisimilis", Lancefield = TRUE)), "B_STRPTC_GRC") # group C
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# Enterococci must only be influenced if Lancefield = "all"
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expect_identical(as.character(guess_mo("E. faecium", Lancefield = FALSE)), "B_ENTRC_IUM")
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expect_identical(as.character(guess_mo("E. faecium", Lancefield = TRUE)), "B_ENTRC_IUM")
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expect_identical(as.character(guess_mo("E. faecium", Lancefield = "all")), "B_STRPTC_GRD") # group D
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expect_identical(as.character(guess_mo("S. anginosus", Lancefield = FALSE)), "B_STRPTC_ANG")
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expect_identical(as.character(guess_mo("S. anginosus", Lancefield = TRUE)), "B_STRPTC_GRF") # group F
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expect_identical(as.character(guess_mo("S. sanguinis", Lancefield = FALSE)), "B_STRPTC_SAN")
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expect_identical(as.character(guess_mo("S. sanguinis", Lancefield = TRUE)), "B_STRPTC_GRH") # group H
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expect_identical(as.character(guess_mo("S. salivarius", Lancefield = FALSE)), "B_STRPTC_SAL")
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expect_identical(as.character(guess_mo("S. salivarius", Lancefield = TRUE)), "B_STRPTC_GRK") # group K
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library(dplyr)
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# select with one column
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expect_identical(
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septic_patients[1:10,] %>%
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left_join_microorganisms() %>%
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select(genus) %>%
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as.mo() %>%
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as.character(),
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c("B_ESCHR", "B_ESCHR", "B_STPHY", "B_STPHY", "B_STPHY",
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"B_STPHY", "B_STPHY", "B_STPHY", "B_STPHY", "B_STPHY"))
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# select with two columns
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expect_identical(
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septic_patients[1:10,] %>%
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pull(mo),
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septic_patients[1:10,] %>%
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left_join_microorganisms() %>%
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select(genus, species) %>%
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as.mo() %>%
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as.character())
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# unknown results
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expect_warning(as.mo(c("INVALID", "Yeah, unknown")))
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# too many columns
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expect_error(septic_patients %>% select(1:3) %>% as.mo())
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# print
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expect_output(print(as.mo(c("B_ESCHR_COL", NA))))
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# helper function
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expect_identical(as.mo("B_ESCHR_COL"),
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guess_mo("B_ESCHR_COL"))
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# test pull
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expect_equal(nrow(septic_patients %>% mutate(mo = as.mo(mo))),
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2000)
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# test data.frame
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expect_equal(nrow(data.frame(test = as.mo("B_ESCHR_COL"))),
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1)
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# check empty values
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expect_equal(as.character(suppressWarnings(as.mo(""))),
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NA_character_)
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# check less prevalent MOs
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expect_equal(as.character(as.mo("Gomphosphaeria aponina delicatula")), "B_GMPHS_APO_DEL")
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expect_equal(as.character(as.mo("Gomphosphaeria apo del")), "B_GMPHS_APO_DEL")
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expect_equal(as.character(as.mo("G apo deli")), "B_GMPHS_APO_DEL")
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expect_equal(as.character(as.mo("Gomphosphaeria aponina")), "B_GMPHS_APO")
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expect_equal(as.character(as.mo("Gomphosphaeria species")), "B_GMPHS")
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expect_equal(as.character(as.mo("Gomphosphaeria")), "B_GMPHS")
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expect_equal(as.character(as.mo(" B_GMPHS_APO ")), "B_GMPHS_APO")
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expect_equal(as.character(as.mo("g aponina")), "B_GMPHS_APO")
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# check old names
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expect_equal(suppressMessages(as.character(as.mo("Escherichia blattae"))), "B_SHMWL_BLA")
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# - Didymosphaeria spartinae (unprevalent)
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expect_warning(suppressMessages(as.mo("D spartin", allow_uncertain = TRUE)))
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# - was renames to Leptosphaeria obiones
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expect_equal(suppressWarnings(suppressMessages(as.character(as.mo("D spartin", allow_uncertain = TRUE)))),
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"F_LPTSP_OBI")
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# check uncertain names
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expect_equal(suppressWarnings(as.character(as.mo("esco extra_text", allow_uncertain = FALSE))), NA_character_)
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expect_equal(suppressWarnings(as.character(as.mo("esco extra_text", allow_uncertain = TRUE))), "B_ESCHR_COL")
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expect_warning(as.mo("esco extra_text", allow_uncertain = TRUE))
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# predefined reference_df
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expect_equal(as.character(as.mo("TestingOwnID",
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reference_df = data.frame(a = "TestingOwnID", b = "B_ESCHR_COL"))),
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"B_ESCHR_COL")
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expect_equal(as.character(as.mo(c("TestingOwnID", "E. coli"),
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reference_df = data.frame(a = "TestingOwnID", b = "B_ESCHR_COL"))),
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c("B_ESCHR_COL", "B_ESCHR_COL"))
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expect_warning(as.mo("TestingOwnID", reference_df = NULL))
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expect_error(as.mo("E. coli", reference_df = data.frame(a = "TestingOwnID")))
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# combination of existing mo and certe
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expect_identical(as.character(as.mo(c("B_ESCHR_COL", "ESCCOL"))),
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c("B_ESCHR_COL", "B_ESCHR_COL"))
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# TSN of prevalent and non prevalent ones
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expect_equal(mo_TSN(c("Gomphosphaeria aponina delicatula", "Escherichia coli")),
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c(717, 285))
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expect_equal(mo_fullname(c("E. spp.",
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"E. spp",
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"E. species")),
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rep("Escherichia species", 3))
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# from different sources
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expect_equal(as.character(as.mo(
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c("PRTMIR", "bclcer", "B_ESCHR_COL"))),
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c("B_PROTS_MIR", "B_BCLLS_CER", "B_ESCHR_COL"))
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# hard to find
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expect_equal(as.character(suppressWarnings(as.mo(
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c("Microbacterium paraoxidans",
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"Streptococcus suis (bovis gr)",
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"Raoultella (here some text) terrigena"), allow_uncertain = TRUE))),
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c("B_MCRBC", "B_STRPTC_SUI", "B_RLTLL_TER"))
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# Salmonella (City) are all actually Salmonella enterica spp (City)
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expect_equal(as.character(suppressMessages(as.mo("Salmonella Goettingen", allow_uncertain = TRUE))),
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"B_SLMNL_ENT")
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})
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