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add tests using testthat

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dr. M.S. (Matthijs) Berends 2018-03-27 17:43:42 +02:00
parent c26839b08e
commit 6f7730dcaa
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19 changed files with 231 additions and 17 deletions

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@ -1,6 +1,6 @@
Package: AMR Package: AMR
Version: 0.1.2 Version: 0.1.2
Date: 2018-03-23 Date: 2018-03-27
Title: Antimicrobial Resistance Analysis Title: Antimicrobial Resistance Analysis
Authors@R: c( Authors@R: c(
person( person(
@ -26,6 +26,7 @@ Description: Functions to simplify the analysis of Antimicrobial Resistance (AMR
<doi:10.1111/j.1469-0691.2011.03703.x>. <doi:10.1111/j.1469-0691.2011.03703.x>.
Depends: R (>= 3.0) Depends: R (>= 3.0)
Imports: dplyr (>= 0.7.0), knitr, reshape2 (>= 1.4.0), xml2, rvest Imports: dplyr (>= 0.7.0), knitr, reshape2 (>= 1.4.0), xml2, rvest
Suggests: testthat
URL: https://cran.r-project.org/package=AMR URL: https://cran.r-project.org/package=AMR
BugReports: https://github.com/msberends/AMR/issues BugReports: https://github.com/msberends/AMR/issues
License: GPL-2 | file LICENSE License: GPL-2 | file LICENSE

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@ -188,7 +188,7 @@ EUCAST_rules <- function(tbl,
teic, tetr, tica, tige, tobr, trim, trsu, vanc) teic, tetr, tica, tige, tobr, trim, trsu, vanc)
col.list <- col.list[!is.na(col.list)] col.list <- col.list[!is.na(col.list)]
col.list.bak <- col.list col.list.bak <- col.list
# are they available as upper case then? # are they available as upper case or lower case then?
for (i in 1:length(col.list)) { for (i in 1:length(col.list)) {
if (toupper(col.list[i]) %in% colnames(tbl)) { if (toupper(col.list[i]) %in% colnames(tbl)) {
col.list[i] <- toupper(col.list[i]) col.list[i] <- toupper(col.list[i])
@ -708,7 +708,7 @@ mo_property <- function(bactid, property = 'fullname') {
result = tryCatch({ result = tryCatch({
mocode[i] <- mocode[i] <-
AMR::microorganisms %>% AMR::microorganisms %>%
filter(bactid == bactid) %>% filter(bactid == bug) %>%
select(property) %>% select(property) %>%
unlist() %>% unlist() %>%
as.character() as.character()

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@ -364,7 +364,7 @@ summary.mic <- function(object, ...) {
x <- x[!is.na(x)] x <- x[!is.na(x)]
n <- x %>% length() n <- x %>% length()
return(c("Mode" = 'mic', return(c("Mode" = 'mic',
"NA" = n_total - n, "<NA>" = n_total - n,
"Min." = sort(x)[1] %>% as.character(), "Min." = sort(x)[1] %>% as.character(),
"Max." = sort(x)[n] %>% as.character() "Max." = sort(x)[n] %>% as.character()
)) ))

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@ -7,6 +7,7 @@
#' @inheritParams utils::write.table #' @inheritParams utils::write.table
#' @param startrow \emph{n}th row to start importing from. For \code{clipboard_import}, when \code{header = TRUE} the import will start on row \code{startrow} \emph{below} the header. #' @param startrow \emph{n}th row to start importing from. For \code{clipboard_import}, when \code{header = TRUE} the import will start on row \code{startrow} \emph{below} the header.
#' @param as_vector a logical value indicating whether data consisting of only one column should be imported as vector using \code{\link[dplyr]{pull}}. This will strip off the header. #' @param as_vector a logical value indicating whether data consisting of only one column should be imported as vector using \code{\link[dplyr]{pull}}. This will strip off the header.
#' @param info print info about copying
#' @keywords clipboard clipboard_import clipboard_export import export #' @keywords clipboard clipboard_import clipboard_export import export
#' @importFrom dplyr %>% pull as_tibble #' @importFrom dplyr %>% pull as_tibble
#' @importFrom utils read.delim write.table object.size #' @importFrom utils read.delim write.table object.size
@ -54,7 +55,8 @@ clipboard_export <- function(x,
sep = '\t', sep = '\t',
dec = ".", dec = ".",
na = "", na = "",
header = TRUE) { header = TRUE,
info = TRUE) {
x <- deparse(substitute(x)) x <- deparse(substitute(x))
size <- x %>% size <- x %>%
@ -75,6 +77,7 @@ clipboard_export <- function(x,
dec = dec, dec = dec,
quote = FALSE) quote = FALSE)
if (info == TRUE) {
cat("Successfully exported to clipboard:", NROW(x), "obs. of", NCOL(x), "variables.\n") cat("Successfully exported to clipboard:", NROW(x), "obs. of", NCOL(x), "variables.\n")
}
} }

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@ -448,6 +448,8 @@ key_antibiotics <- function(tbl,
clin, clox, doxy, gent, line, mero, peni, clin, clox, doxy, gent, line, mero, peni,
pita, rifa, teic, trsu, vanc) pita, rifa, teic, trsu, vanc)
col.list <- col.list[!is.na(col.list)] col.list <- col.list[!is.na(col.list)]
col.list.bak <- col.list
# are they available as upper case or lower case then?
for (i in 1:length(col.list)) { for (i in 1:length(col.list)) {
if (toupper(col.list[i]) %in% colnames(tbl)) { if (toupper(col.list[i]) %in% colnames(tbl)) {
col.list[i] <- toupper(col.list[i]) col.list[i] <- toupper(col.list[i])
@ -459,8 +461,8 @@ key_antibiotics <- function(tbl,
} }
if (!all(col.list %in% colnames(tbl))) { if (!all(col.list %in% colnames(tbl))) {
if (info == TRUE) { if (info == TRUE) {
warning('These columns do not exist and will be ignored:\n', warning('These columns do not exist and will be ignored: ',
col.list[!(col.list %in% colnames(tbl))] %>% toString(), col.list.bak[!(col.list %in% colnames(tbl))] %>% toString(),
immediate. = TRUE, immediate. = TRUE,
call. = FALSE) call. = FALSE)
} }
@ -647,9 +649,13 @@ guess_bactid <- function(x) {
for (i in 1:length(x)) { for (i in 1:length(x)) {
if (tolower(x[i]) == '^e.*coli$') { if (tolower(x[i]) == '^e.*coli$') {
# avoid detection of Entamoeba coli in case of Escherichia coli # avoid detection of Entamoeba coli in case of E. coli
x[i] <- 'Escherichia coli' x[i] <- 'Escherichia coli'
} }
if (tolower(x[i]) == '^h.*influenzae$') {
# avoid detection of Haematobacter influenzae in case of H. influenzae
x[i] <- 'Haemophilus influenzae'
}
if (tolower(x[i]) == '^st.*au$' if (tolower(x[i]) == '^st.*au$'
| tolower(x[i]) == '^stau$' | tolower(x[i]) == '^stau$'
| tolower(x[i]) == '^staaur$') { | tolower(x[i]) == '^staaur$') {

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@ -96,7 +96,11 @@ full_join_microorganisms <- function(x, by = 'bactid', suffix = c("2", ""), ...)
} else { } else {
joinby <- by joinby <- by
} }
dplyr::full_join(x = x, y = AMR::microorganisms, by = joinby, suffix = c("2", ""), ...) join <- dplyr::full_join(x = x, y = AMR::microorganisms, by = joinby, suffix = c("2", ""), ...)
if (nrow(join) > nrow(x)) {
warning('the newly joined tbl contains ', nrow(join) - nrow(x), ' rows more that its original')
}
join
} }
#' @rdname join #' @rdname join

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@ -67,7 +67,7 @@ rsi_df <- function(tbl,
stop('Invalid `interpretation`; must be "S", "SI", "I", "IR", or "R".') stop('Invalid `interpretation`; must be "S", "SI", "I", "IR", or "R".')
} }
if ('is_ic' %in% colnames(tbl)) { if ('is_ic' %in% colnames(tbl)) {
if (n_distinct(tbl$is_ic) > 1) { if (n_distinct(tbl$is_ic) > 1 & warning == TRUE) {
warning('Dataset contains isolates from the Intensive Care. Exclude them from proper epidemiological analysis.') warning('Dataset contains isolates from the Intensive Care. Exclude them from proper epidemiological analysis.')
} }
} }
@ -280,8 +280,7 @@ rsi <- function(ab1, ab2 = NA, interpretation = 'IR', minimum = 30, percent = FA
#' first_isolate(., #' first_isolate(.,
#' "date", #' "date",
#' "patient_id", #' "patient_id",
#' "genus", #' "bactid",
#' "species",
#' col_specimen = NA, #' col_specimen = NA,
#' col_icu = NA)) %>% #' col_icu = NA)) %>%
#' # filter on first E. coli isolates #' # filter on first E. coli isolates
@ -304,6 +303,10 @@ rsi_predict <- function(tbl,
preserve_measurements = TRUE, preserve_measurements = TRUE,
info = TRUE) { info = TRUE) {
if (nrow(tbl) == 0) {
stop('This table does not contain any observations.')
}
col_ab <- quasiquotate(deparse(substitute(col_ab)), col_ab) col_ab <- quasiquotate(deparse(substitute(col_ab)), col_ab)
if (!col_ab %in% colnames(tbl)) { if (!col_ab %in% colnames(tbl)) {
stop('Column ', col_ab, ' not found.') stop('Column ', col_ab, ' not found.')

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@ -9,7 +9,8 @@
clipboard_import(sep = "\\t", header = TRUE, dec = ".", na = c("", "NA", clipboard_import(sep = "\\t", header = TRUE, dec = ".", na = c("", "NA",
"NULL"), startrow = 1, as_vector = TRUE) "NULL"), startrow = 1, as_vector = TRUE)
clipboard_export(x, sep = "\\t", dec = ".", na = "", header = TRUE) clipboard_export(x, sep = "\\t", dec = ".", na = "", header = TRUE,
info = TRUE)
} }
\arguments{ \arguments{
\item{sep}{the field separator character. Values on each line of the \item{sep}{the field separator character. Values on each line of the
@ -33,6 +34,8 @@ clipboard_export(x, sep = "\\t", dec = ".", na = "", header = TRUE)
\item{x}{the object to be written, preferably a matrix or data frame. \item{x}{the object to be written, preferably a matrix or data frame.
If not, it is attempted to coerce \code{x} to a data frame.} If not, it is attempted to coerce \code{x} to a data frame.}
\item{info}{print info about copying}
} }
\value{ \value{
data.frame data.frame

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@ -59,8 +59,7 @@ septic_patients \%>\%
first_isolate(., first_isolate(.,
"date", "date",
"patient_id", "patient_id",
"genus", "bactid",
"species",
col_specimen = NA, col_specimen = NA,
col_icu = NA)) \%>\% col_icu = NA)) \%>\%
# filter on first E. coli isolates # filter on first E. coli isolates

4
tests/testthat.R Normal file
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@ -0,0 +1,4 @@
library(testthat)
library(AMR)
test_check("AMR")

BIN
tests/testthat/Rplots.pdf Normal file

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15
tests/testthat/test-atc.R Normal file
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@ -0,0 +1,15 @@
context("atc.R")
test_that("atc_property works", {
expect_equal(tolower(atc_property("J01CA04", property = "Name")), "amoxicillin")
expect_equivalent(atc_property("J01CA04", "DDD"), 1)
})
test_that("abname works", {
expect_equal(abname("AMOX"), "Amoxicillin")
expect_equal(abname(c("AMOX", "GENT")), c("Amoxicillin", "Gentamicin"))
expect_equal(abname("AMOX", from = 'umcg'), "Amoxicillin")
expect_equal(abname("amox", from = 'molis'), "Amoxicillin")
expect_equal(abname("J01CA04", from = 'atc'), "Amoxicillin")
})

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@ -0,0 +1,37 @@
context("classes.R")
test_that("rsi works", {
expect_true(as.rsi("S") < as.rsi("I"))
expect_true(as.rsi("I") < as.rsi("R"))
expect_true(as.rsi("R") > as.rsi("S"))
expect_true(is.rsi(as.rsi("S")))
expect_equal(suppressWarnings(as.logical(as.rsi("INVALID VALUE"))), NA)
expect_equal(class(barplot(as.rsi(c("S", "I", "R")))), "numeric")
expect_equal(summary(as.rsi(c("S", "R"))), c("Mode" = 'rsi',
"<NA>" = "0",
"Sum S" = "1",
"Sum IR" = "1",
"Sum R" = "1",
"Sum I" = "0"))
})
test_that("mic works", {
expect_true(as.mic(8) == as.mic("8"))
expect_true(as.mic("1") > as.mic("<=0.0625"))
expect_true(as.mic("1") < as.mic(">=32"))
expect_true(is.mic(as.mic(8)))
expect_equal(as.double(as.mic(">=32")), 32)
expect_equal(as.integer(as.mic(">=32")), 32)
expect_equal(suppressWarnings(as.logical(as.mic("INVALID VALUE"))), NA)
expect_equal(class(plot(as.mic(c(1, 2, 4, 8)))), "numeric")
expect_equal(summary(as.mic(c(2, 8))), c("Mode" = 'mic',
"<NA>" = "0",
"Min." = "2",
"Max." = "8"))
})

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@ -0,0 +1,9 @@
context("clipboard.R")
test_that("clipboard works", {
# why is the <<- needed? Won't work without it...
t1 <<- AMR::antibiotics
clipboard_export(t1, info = FALSE)
t2 <- clipboard_import()
expect_equal(t1, t2)
})

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@ -0,0 +1,31 @@
context("EUCAST.R")
test_that("EUCAST rules work", {
a <- data.frame(bactid = c("KLEPNE", # Klebsiella pneumoniae
"PSEAER", # Pseudomonas aeruginosa
"ENTAER"), # Enterobacter aerogenes
amox = "-", # Amoxicillin
stringsAsFactors = FALSE)
b <- data.frame(bactid = c("KLEPNE", # Klebsiella pneumoniae
"PSEAER", # Pseudomonas aeruginosa
"ENTAER"), # Enterobacter aerogenes
amox = "R", # Amoxicillin
stringsAsFactors = FALSE)
expect_equal(EUCAST_rules(a, info = FALSE), b)
expect_equal(interpretive_reading(a, info = FALSE), b)
a <- data.frame(bactid = c("STAAUR", # Staphylococcus aureus
"STCGRA"), # Streptococcus pyognenes (Lancefield Group A)
coli = "-", # Colistin
stringsAsFactors = FALSE)
b <- data.frame(bactid = c("STAAUR", # Staphylococcus aureus
"STCGRA"), # Streptococcus pyognenes (Lancefield Group A)
coli = "R", # Colistin
stringsAsFactors = FALSE)
expect_equal(EUCAST_rules(a, info = FALSE), b)
})
test_that("MO properties work", {
expect_equal(mo_property("ESCCOL"), "Escherichia coli")
expect_equal(mo_property("STAAUR"), "Staphylococcus aureus")
})

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@ -0,0 +1,23 @@
context("first_isolates.R")
test_that("keyantibiotics work", {
expect_equal(length(key_antibiotics(septic_patients, info = FALSE)), nrow(septic_patients))
expect_true(key_antibiotics_equal("SSS", "SSS"))
expect_true(key_antibiotics_equal("SSS", "SIS", ignore_I = TRUE))
expect_false(key_antibiotics_equal("SSS", "SIS", ignore_I = FALSE))
})
test_that("guess_bactid works", {
expect_equal(guess_bactid("E. coli"), "ESCCOL")
expect_equal(guess_bactid("Escherichia coli"), "ESCCOL")
})
test_that("first isolates work", {
# septic_patients contains 1960 out of 2000 first isolates
expect_equal(sum(first_isolate(septic_patients,
"date",
"patient_id",
"bactid",
info = FALSE)), 1960)
})

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@ -0,0 +1,18 @@
context("joins.R")
test_that("joins work", {
unjoined <- septic_patients
inner <- septic_patients %>% inner_join_microorganisms()
left <- septic_patients %>% left_join_microorganisms()
suppressWarnings(right <- septic_patients %>% right_join_microorganisms())
suppressWarnings(full <- septic_patients %>% full_join_microorganisms())
expect_true(ncol(unjoined) < ncol(inner))
expect_true(nrow(unjoined) == nrow(inner))
expect_true(ncol(unjoined) < ncol(left))
expect_true(nrow(unjoined) == nrow(left))
expect_true(nrow(unjoined) < nrow(right))
expect_true(nrow(unjoined) < nrow(full))
})

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@ -0,0 +1,20 @@
context("misc.R")
test_that("`like` works", {
expect_true("test" %like% "^t")
expect_true("test" %like% "test")
expect_true("test" %like% "TEST")
expect_true(as.factor("test") %like% "TEST")
})
test_that("percentages works", {
expect_equal(percent(0.25), "25%")
expect_equal(percent(0.5), "50%")
expect_equal(percent(0.1234), "12.3%")
})
test_that("quasiquotation works", {
expect_equal(quasiquotate(deparse(substitute("test")), "test"), "test")
expect_equal(quasiquotate(deparse(substitute('test')), "'test'"), "test")
expect_equal(quasiquotate(deparse(substitute(test)), test), "test")
})

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@ -0,0 +1,38 @@
context("rsi_analysis.R")
test_that("rsi works", {
# amox resistance in `septic_patients` should be around 53.86%
amox_R <- septic_patients %>% summarise(amox = rsi(amox)) %>% pull(amox)
expect_equal(amox_R, 0.5386, tolerance = 0.0001)
expect_equal(rsi_df(septic_patients,
ab = "amox",
info = FALSE), 0.5386, tolerance = 0.0001)
# and pita+genta susceptibility around 98.09%
expect_equal(rsi_df(septic_patients,
ab = c("pita", "gent"),
interpretation = "S",
info = FALSE), 0.9809, tolerance = 0.0001)
})
test_that("prediction of rsi works", {
amox_R <- rsi_predict(tbl = septic_patients[which(septic_patients$bactid == "ESCCOL"),],
col_ab = "amox",
col_date = "date",
info = FALSE)
amox_R <- amox_R %>% pull("probR")
# amox resistance will decrease according to `septic_patients`
expect_true(amox_R[2] > amox_R[20])
expect_error(rsi_predict(tbl = septic_patients[which(septic_patients$bactid == "ESCCOL"),],
model = "INVALID MODEL",
col_ab = "amox",
col_date = "date",
info = FALSE))
expect_error(rsi_predict(tbl = septic_patients[which(septic_patients$bactid == "ESCCOL"),],
col_ab = "NOT EXISTING COLUMN",
col_date = "date",
info = FALSE))
expect_error(rsi_predict(tbl = septic_patients[which(septic_patients$bactid == "ESCCOL"),],
col_ab = "amox",
col_date = "NOT EXISTING COLUMN",
info = FALSE))
})