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small improvement for is.rsi.eligible, more unit tests
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5
NEWS.md
5
NEWS.md
@ -55,7 +55,8 @@
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* For `first_isolate`, rows will be ignored when there's no species available
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* For `first_isolate`, rows will be ignored when there's no species available
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* Function `ratio` is now deprecated and will be removed in a future release, as it is not really the scope of this package
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* Function `ratio` is now deprecated and will be removed in a future release, as it is not really the scope of this package
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* Fix for `as.mic` for values ending in zeroes after a real number
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* Fix for `as.mic` for values ending in zeroes after a real number
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* Tremendous speed improvement for `as.bactid` (now `as.mo`)
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* Small fix where *B. fragilis* would not be found in the `microorganisms.umcg` data set
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* Fix for `is.rsi.eligible`, now ignores reading marks
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* Added parameters `minimum` and `as_percent` to `portion_df`
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* Added parameters `minimum` and `as_percent` to `portion_df`
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* Support for quasiquotation in the functions series `count_*` and `portions_*`, and `n_rsi`. This allows to check for more than 2 vectors or columns.
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* Support for quasiquotation in the functions series `count_*` and `portions_*`, and `n_rsi`. This allows to check for more than 2 vectors or columns.
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```r
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```r
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@ -77,7 +78,7 @@
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my_matrix = with(septic_patients, matrix(c(age, sex), ncol = 2))
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my_matrix = with(septic_patients, matrix(c(age, sex), ncol = 2))
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freq(my_matrix)
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freq(my_matrix)
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```
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```
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* Subsetting also possible for lists:
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For lists, subsetting is possible:
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```r
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```r
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my_list = list(age = septic_patients$age, sex = septic_patients$sex)
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my_list = list(age = septic_patients$age, sex = septic_patients$sex)
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my_list %>% freq(age)
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my_list %>% freq(age)
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21
R/mo.R
21
R/mo.R
@ -138,8 +138,6 @@ as.mo <- function(x, Becker = FALSE, Lancefield = FALSE) {
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# replace space by regex sign
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# replace space by regex sign
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x_withspaces <- gsub(" ", ".* ", x, fixed = TRUE)
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x_withspaces <- gsub(" ", ".* ", x, fixed = TRUE)
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x <- gsub(" ", ".*", x, fixed = TRUE)
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x <- gsub(" ", ".*", x, fixed = TRUE)
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# for species
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x_species <- paste(x, 'species')
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# add start en stop regex
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# add start en stop regex
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x <- paste0('^', x, '$')
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x <- paste0('^', x, '$')
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x_withspaces_all <- x_withspaces
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x_withspaces_all <- x_withspaces
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@ -228,12 +226,14 @@ as.mo <- function(x, Becker = FALSE, Lancefield = FALSE) {
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x[i] <- found[1L]
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x[i] <- found[1L]
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next
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next
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}
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}
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# try the same, now based on genus + species ----
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# try the same, now based on genus + species ----
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found <- MOs[which(paste(MOs$genus, MOs$species) %like% x_withspaces[i]),]$mo
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found <- MOs[which(paste(MOs$genus, MOs$species) %like% x_withspaces[i]),]$mo
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if (length(found) > 0) {
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if (length(found) > 0) {
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x[i] <- found[1L]
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x[i] <- found[1L]
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next
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next
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}
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}
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# try any match keeping spaces, not ending with $ ----
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# try any match keeping spaces, not ending with $ ----
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found <- MOs[which(MOs$fullname %like% x_withspaces_start[i]),]$mo
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found <- MOs[which(MOs$fullname %like% x_withspaces_start[i]),]$mo
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if (length(found) > 0) {
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if (length(found) > 0) {
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@ -248,21 +248,6 @@ as.mo <- function(x, Becker = FALSE, Lancefield = FALSE) {
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next
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next
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}
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}
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# try exact match of only genus, with 'species' attached ----
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# (this prevents Streptococcus from becoming Peptostreptococcus, since "p" < "s")
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found <- MOs[which(MOs$fullname == x_species[i]),]$mo
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if (length(found) > 0) {
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x[i] <- found[1L]
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next
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}
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# try any match of only genus, with 'species' attached ----
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found <- MOs[which(MOs$fullname %like% x_species[i]),]$mo
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if (length(found) > 0) {
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x[i] <- found[1L]
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next
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}
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# try fullname without start and stop regex, to also find subspecies ----
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# try fullname without start and stop regex, to also find subspecies ----
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# like "K. pneu rhino" -> "Klebsiella pneumoniae (rhinoscleromatis)" = KLEPNERH
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# like "K. pneu rhino" -> "Klebsiella pneumoniae (rhinoscleromatis)" = KLEPNERH
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found <- MOs[which(gsub("[\\(\\)]", "", MOs$fullname) %like% x_withspaces_all[i]),]$mo
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found <- MOs[which(gsub("[\\(\\)]", "", MOs$fullname) %like% x_withspaces_all[i]),]$mo
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@ -322,6 +307,8 @@ as.mo <- function(x, Becker = FALSE, Lancefield = FALSE) {
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x[x == "PASAER" & toupper(x_backup) != "PASAER" & !(x_backup %like% '^pas?' | x_backup %like% 'aero')] <- "PSEAER"
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x[x == "PASAER" & toupper(x_backup) != "PASAER" & !(x_backup %like% '^pas?' | x_backup %like% 'aero')] <- "PSEAER"
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# avoid detection of Legionella non pneumophila in case of Legionella pneumophila ----
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# avoid detection of Legionella non pneumophila in case of Legionella pneumophila ----
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x[x == "LEGNON" & toupper(x_backup) != "LEGNON" & !x_backup %like% 'non'] <- "LEGPNE"
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x[x == "LEGNON" & toupper(x_backup) != "LEGNON" & !x_backup %like% 'non'] <- "LEGPNE"
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# avoid detection of Streptobacillus in case of Streptococcus ----
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x[x == "STB" & toupper(x_backup) != "STB" & !x_backup %like% 'streptob'] <- "STC"
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failures <- failures[!failures %in% c(NA, NULL, NaN)]
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failures <- failures[!failures %in% c(NA, NULL, NaN)]
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if (length(failures) > 0) {
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if (length(failures) > 0) {
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6
R/rsi.R
6
R/rsi.R
@ -99,10 +99,14 @@ is.rsi <- function(x) {
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#' @export
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#' @export
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#' @importFrom dplyr %>%
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#' @importFrom dplyr %>%
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is.rsi.eligible <- function(x) {
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is.rsi.eligible <- function(x) {
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distinct_val <- x %>% unique() %>% sort() %>% as.character()
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# remove all but a-z
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distinct_val <- x %>% unique() %>% sort() %>% as.character() %>% gsub("(\\W|\\d)+", "", .)
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# remove NAs and empty values
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distinct_val <- distinct_val[!is.na(distinct_val) & trimws(distinct_val) != ""]
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distinct_val <- distinct_val[!is.na(distinct_val) & trimws(distinct_val) != ""]
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# get RSI class
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distinct_val_rsi <- as.character(suppressWarnings(as.rsi(distinct_val)))
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distinct_val_rsi <- as.character(suppressWarnings(as.rsi(distinct_val)))
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# is not empty and identical to new class
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length(distinct_val) > 0 &
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length(distinct_val) > 0 &
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identical(distinct_val, distinct_val_rsi)
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identical(distinct_val, distinct_val_rsi)
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}
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}
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@ -4,7 +4,12 @@ context("mdro.R")
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test_that("MDRO works", {
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test_that("MDRO works", {
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library(dplyr)
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library(dplyr)
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outcome <- suppressWarnings(MDRO(septic_patients, "EUCAST", info = TRUE))
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expect_error(suppressWarnings(MDRO(septic_patients, "invalid", col_bactid = "mo", info = TRUE)))
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expect_error(suppressWarnings(MDRO(septic_patients, "fr", col_bactid = "mo", info = TRUE)))
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expect_error(suppressWarnings(MDRO(septic_patients, country = c("de", "nl"), info = TRUE)))
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expect_error(suppressWarnings(MDRO(septic_patients, col_mo = "invalid", info = TRUE)))
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outcome <- suppressWarnings(MDRO(septic_patients))
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outcome <- suppressWarnings(EUCAST_exceptional_phenotypes(septic_patients, info = TRUE))
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outcome <- suppressWarnings(EUCAST_exceptional_phenotypes(septic_patients, info = TRUE))
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# check class
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# check class
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expect_equal(outcome %>% class(), c('ordered', 'factor'))
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expect_equal(outcome %>% class(), c('ordered', 'factor'))
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@ -22,6 +22,11 @@ test_that("as.mo works", {
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expect_equal(as.character(as.mo("L. pneumophila")), "LEGPNE")
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expect_equal(as.character(as.mo("L. pneumophila")), "LEGPNE")
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expect_equal(as.character(as.mo("L. non pneumophila")), "LEGNON")
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expect_equal(as.character(as.mo("L. non pneumophila")), "LEGNON")
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expect_equal(as.character(as.mo("S. beta-haemolytic")), "STCHAE")
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expect_equal(as.character(as.mo("S. beta-haemolytic")), "STCHAE")
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expect_equal(as.character(as.mo("Strepto")), "STC") # not Streptobacillus
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expect_equal(as.character(as.mo("Streptococcus")), "STC") # not Peptostreptoccus
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expect_equal(as.character(as.mo(c("GAS", "GBS"))), c("STCGRA", "STCGRB"))
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expect_equal(as.character(as.mo("S. pyo")), "STCPYO") # not Actinomyces pyogenes
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expect_equal(as.character(as.mo("S. pyo")), "STCPYO") # not Actinomyces pyogenes
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@ -31,7 +36,7 @@ test_that("as.mo works", {
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expect_equal(as.character(as.mo("Gram negative rods")), "GNR")
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expect_equal(as.character(as.mo("Gram negative rods")), "GNR")
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# GLIMS
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# GLIMS
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expect_equal(as.character(as.mo("shiboy")), "SHIBOY")
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expect_equal(as.character(as.mo("bctfgr")), "BACFRA")
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expect_equal(as.character(as.mo("MRSE")), "STAEPI")
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expect_equal(as.character(as.mo("MRSE")), "STAEPI")
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expect_equal(as.character(as.mo("VRE")), "ENC")
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expect_equal(as.character(as.mo("VRE")), "ENC")
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