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(v1.7.1.9049) unit tests
This commit is contained in:
parent
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commit
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4
.github/workflows/check.yaml
vendored
4
.github/workflows/check.yaml
vendored
@ -89,13 +89,15 @@ jobs:
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with:
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r-version: ${{ matrix.config.r }}
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- uses: r-lib/actions/setup-pandoc@v1
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- name: Install Linux dependencies
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if: runner.os == 'Linux'
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# update the below with sysreqs::sysreqs("DESCRIPTION") and check the "DEB" entries (for Ubuntu).
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# we don't want to depend on the sysreqs pkg here, as it requires quite a recent R version
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# as of May 2021: https://sysreqs.r-hub.io/pkg/AMR,R,cleaner,curl,dplyr,ggplot2,ggtext,knitr,microbenchmark,pillar,readxl,rmarkdown,rstudioapi,rvest,skimr,tidyr,tinytest,xml2,backports,crayon,rlang,vctrs,evaluate,highr,markdown,stringr,yaml,xfun,cli,ellipsis,fansi,lifecycle,utf8,glue,mime,magrittr,stringi,generics,R6,tibble,tidyselect,pkgconfig,purrr,digest,gtable,isoband,MASS,mgcv,scales,withr,nlme,Matrix,farver,labeling,munsell,RColorBrewer,viridisLite,lattice,colorspace,gridtext,Rcpp,RCurl,png,jpeg,bitops,cellranger,progress,rematch,hms,prettyunits,htmltools,jsonlite,tinytex,base64enc,httr,selectr,openssl,askpass,sys,repr,cpp11
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run: |
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sudo apt install -y libssl-dev pandoc pandoc-citeproc libxml2-dev libicu-dev libcurl4-openssl-dev libpng-dev
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sudo apt install -y libssl-dev libxml2-dev libicu-dev libcurl4-openssl-dev libpng-dev
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- name: Restore cached R packages
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# this step will add the step 'Post Restore cached R packages' on a succesful run
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if: runner.os != 'Windows'
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4
.github/workflows/codecovr.yaml
vendored
4
.github/workflows/codecovr.yaml
vendored
@ -46,7 +46,9 @@ jobs:
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with:
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r-version: release
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- uses: r-lib/actions/setup-pandoc@master
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- uses: r-lib/actions/setup-pandoc@v1
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# with:
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# pandoc-version: '2.7.3' # The pandoc version to download (if necessary) and use.
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- name: Query dependencies
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# this will change once a week, so it will cache dependency updates
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@ -1,6 +1,6 @@
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Package: AMR
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Version: 1.7.1.9048
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Date: 2021-10-04
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Version: 1.7.1.9049
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Date: 2021-10-05
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Title: Antimicrobial Resistance Data Analysis
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Description: Functions to simplify and standardise antimicrobial resistance (AMR)
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data analysis and to work with microbial and antimicrobial properties by
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4
NEWS.md
4
NEWS.md
@ -1,5 +1,5 @@
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# `AMR` 1.7.1.9048
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## <small>Last updated: 4 October 2021</small>
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# `AMR` 1.7.1.9049
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## <small>Last updated: 5 October 2021</small>
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### Breaking changes
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* Removed `p_symbol()` and all `filter_*()` functions (except for `filter_first_isolate()`), which were all deprecated in a previous package version
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@ -296,12 +296,15 @@ stop_ifnot_installed <- function(package) {
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return(invisible())
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}
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pkg_is_available <- function(pkg, also_load = TRUE) {
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pkg_is_available <- function(pkg, also_load = TRUE, min_version = NULL) {
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if (also_load == TRUE) {
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out <- suppressWarnings(require(pkg, character.only = TRUE, warn.conflicts = FALSE))
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} else {
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out <- requireNamespace(pkg, quietly = TRUE)
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}
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if (!is.null(min_version)) {
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out <- out && packageVersion(pkg) >= min_version
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}
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isTRUE(out)
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}
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10
R/mo.R
10
R/mo.R
@ -495,9 +495,13 @@ exec_as.mo <- function(x,
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# Fill in fullnames and MO codes directly
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known_names <- tolower(x_backup) %in% MO_lookup$fullname_lower
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x[known_names] <- MO_lookup[match(tolower(x_backup)[known_names], MO_lookup$fullname_lower), property, drop = TRUE]
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known_codes <- toupper(x_backup) %in% MO_lookup$mo
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x[known_codes] <- MO_lookup[match(toupper(x_backup)[known_codes], MO_lookup$mo), property, drop = TRUE]
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already_known <- known_names | known_codes
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known_codes_mo <- toupper(x_backup) %in% MO_lookup$mo
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x[known_codes_mo] <- MO_lookup[match(toupper(x_backup)[known_codes_mo], MO_lookup$mo), property, drop = TRUE]
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known_codes_lis <- toupper(x_backup) %in% microorganisms.codes$code
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x[known_codes_lis] <- MO_lookup[match(microorganisms.codes[match(toupper(x_backup)[known_codes_lis],
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microorganisms.codes$code), "mo", drop = TRUE],
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MO_lookup$mo), property, drop = TRUE]
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already_known <- known_names | known_codes_mo | known_codes_lis
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# now only continue where the right taxonomic output is not already known
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if (any(!already_known)) {
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@ -25,7 +25,7 @@
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codecov:
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require_ci_to_pass: no # allow fail
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branch: master
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branch: main
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comment: no
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Binary file not shown.
@ -44,7 +44,7 @@
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</button>
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<span class="navbar-brand">
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<a class="navbar-link" href="../index.html">AMR (for R)</a>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9048</span>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9049</span>
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</span>
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</div>
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@ -190,7 +190,7 @@
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<div class="page-header toc-ignore">
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<h1 data-toc-skip>Data sets for download / own use</h1>
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<h4 data-toc-skip class="date">04 October 2021</h4>
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<h4 data-toc-skip class="date">05 October 2021</h4>
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<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/master/vignettes/datasets.Rmd" class="external-link"><code>vignettes/datasets.Rmd</code></a></small>
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<div class="hidden name"><code>datasets.Rmd</code></div>
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@ -92,7 +92,7 @@
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</button>
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<span class="navbar-brand">
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<a class="navbar-link" href="../index.html">AMR (for R)</a>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9048</span>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9049</span>
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</span>
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</div>
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@ -240,12 +240,12 @@
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<small>Source: <a href='https://github.com/msberends/AMR/blob/master/NEWS.md'><code>NEWS.md</code></a></small>
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</div>
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<div id="amr-1719048" class="section level1">
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<h1 class="page-header" data-toc-text="1.7.1.9048">
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<a href="#amr-1719048" class="anchor" aria-hidden="true"></a><small> Unreleased </small><code>AMR</code> 1.7.1.9048</h1>
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<div id="last-updated-4-october-2021" class="section level2">
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<div id="amr-1719049" class="section level1">
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<h1 class="page-header" data-toc-text="1.7.1.9049">
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<a href="#amr-1719049" class="anchor" aria-hidden="true"></a><small> Unreleased </small><code>AMR</code> 1.7.1.9049</h1>
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<div id="last-updated-5-october-2021" class="section level2">
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<h2 class="hasAnchor">
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<a href="#last-updated-4-october-2021" class="anchor" aria-hidden="true"></a><small>Last updated: 4 October 2021</small>
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<a href="#last-updated-5-october-2021" class="anchor" aria-hidden="true"></a><small>Last updated: 5 October 2021</small>
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</h2>
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<div id="breaking-changes" class="section level3">
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<h3 class="hasAnchor">
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@ -42,12 +42,12 @@ expect_warning(AMR:::generate_warning_abs_missing(c("AMP", "AMX"), any = TRUE))
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expect_warning(AMR:::get_column_abx(example_isolates, hard_dependencies = "FUS"))
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expect_message(AMR:::get_column_abx(example_isolates, soft_dependencies = "FUS"))
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if (AMR:::pkg_is_available("dplyr")) {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_warning(AMR:::get_column_abx(rename(example_isolates, thisone = AMX), amox = "thisone", tmp = "thisone", verbose = TRUE))
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expect_warning(AMR:::get_column_abx(rename(example_isolates, thisone = AMX), amox = "thisone", tmp = "thisone", verbose = FALSE))
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}
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# we rely on "grouped_tbl" being a class of grouped tibbles, so implement a test that checks for this:
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if (AMR:::pkg_is_available("dplyr")) {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_true(AMR:::is_null_or_grouped_tbl(example_isolates %>% group_by(hospital_id)))
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}
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@ -65,6 +65,9 @@ expect_equal(nrow(subset(example_isolates, any(carbapenems() == "R"))), 55, tole
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# filter on any or all results in the carbapenem columns (i.e., IPM, MEM):
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expect_equal(nrow(example_isolates[any(carbapenems()), ]), 962, tolerance = 0.5)
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expect_equal(nrow(example_isolates[all(carbapenems()), ]), 756, tolerance = 0.5)
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expect_equal(nrow(example_isolates[any(carbapenems() == "R"), ]), 55, tolerance = 0.5)
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expect_equal(nrow(example_isolates[any(carbapenems() != "R"), ]), 910, tolerance = 0.5)
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expect_equal(nrow(example_isolates[carbapenems() != "R", ]), 704, tolerance = 0.5)
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# filter with multiple antibiotic selectors using c()
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expect_equal(nrow(example_isolates[all(c(carbapenems(), aminoglycosides()) == "R"), ]), 26, tolerance = 0.5)
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@ -73,3 +76,9 @@ expect_equal(nrow(example_isolates[all(c(carbapenems(), aminoglycosides()) == "R
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expect_equal(nrow(example_isolates[any(carbapenems() == "R"), penicillins()]), 55, tolerance = 0.5)
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expect_equal(ncol(example_isolates[any(carbapenems() == "R"), penicillins()]), 7, tolerance = 0.5)
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_equal(example_isolates %>% select(administrable_per_os() & penicillins()) %>% ncol(), 5, tolerance = 0.5)
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expect_equal(example_isolates %>% select(administrable_iv() & penicillins()) %>% ncol(), 7, tolerance = 0.5)
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expect_equal(example_isolates %>% select(administrable_iv() | penicillins()) %>% ncol(), 37, tolerance = 0.5)
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expect_warning(example_isolates %>% select(GEH = GEN) %>% select(aminoglycosides(only_treatable = TRUE)))
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}
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@ -69,7 +69,7 @@ expect_identical(colnames(set_ab_names(example_isolates[, 20:25], language = "nl
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c("Cefoxitine", "Cefotaxim", "Ceftazidim", "Ceftriaxon", "Gentamicine", "Tobramycine"))
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expect_identical(colnames(set_ab_names(example_isolates[, 20:25], "atc")),
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c("J01DC01", "J01DD01", "J01DD02", "J01DD04", "J01GB03", "J01GB01"))
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if (AMR:::pkg_is_available("dplyr") && packageVersion("dplyr") >= "1.0.0") {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_identical(example_isolates %>% set_ab_names(),
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example_isolates %>% rename_with(set_ab_names))
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}
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@ -28,7 +28,7 @@ expect_inherits(b, "bug_drug_combinations")
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expect_stdout(suppressMessages(print(b)))
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expect_true(is.data.frame(format(b)))
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expect_true(is.data.frame(format(b, combine_IR = TRUE, add_ab_group = FALSE)))
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if (AMR:::pkg_is_available("dplyr")) {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_true(example_isolates %>%
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group_by(hospital_id) %>%
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bug_drug_combinations(FUN = mo_gramstain) %>%
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@ -51,7 +51,7 @@ expect_error(count_susceptible("test", as_percent = "test"))
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expect_error(count_df(c("A", "B", "C")))
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expect_error(count_df(example_isolates[, "date"]))
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if (AMR:::pkg_is_available("dplyr")) {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_equal(example_isolates %>% count_susceptible(AMC), 1433)
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expect_equal(example_isolates %>% count_susceptible(AMC, GEN, only_all_tested = TRUE), 1687)
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expect_equal(example_isolates %>% count_susceptible(AMC, GEN, only_all_tested = FALSE), 1764)
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@ -50,6 +50,6 @@ if (AMR:::pkg_is_available("ggplot2")) {
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}
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expect_stdout(print(as.disk(12)))
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if (AMR:::pkg_is_available("dplyr")) {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_stdout(print(tibble(d = as.disk(12))))
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}
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@ -36,7 +36,7 @@ test_df <- rbind(
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expect_equal(get_episode(test_df$date, 365),
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c(1, 1, 2, 2, 2, 3, 3, 4, 1, 2, 2, 2, 3))
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if (AMR:::pkg_is_available("dplyr")) {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_identical(test_df %>% group_by(patient_id) %>% mutate(f = is_new_episode(date, 365)) %>% pull(f),
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c(TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE))
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@ -72,7 +72,7 @@ b <- data.frame(mo = c("Staphylococcus aureus",
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expect_equal(suppressWarnings(eucast_rules(a, "mo", info = FALSE)), b)
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# piperacillin must be R in Enterobacteriaceae when tica is R
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if (AMR:::pkg_is_available("dplyr")) {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_equal(suppressWarnings(
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example_isolates %>%
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filter(mo_family(mo) == "Enterobacteriaceae") %>%
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@ -110,7 +110,7 @@ expect_equal(
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"S")
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# also test norf
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if (AMR:::pkg_is_available("dplyr")) {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_stdout(suppressWarnings(eucast_rules(example_isolates %>% mutate(NOR = "S", NAL = "S"), info = TRUE)))
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}
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@ -110,7 +110,7 @@ expect_error(first_isolate(example_isolates,
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col_date = "non-existing col",
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col_mo = "mo"))
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if (AMR:::pkg_is_available("dplyr")) {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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# if mo is not an mo class, result should be the same
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expect_identical(example_isolates %>%
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mutate(mo = as.character(mo)) %>%
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@ -23,7 +23,7 @@
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# how to conduct AMR data analysis: https://msberends.github.io/AMR/ #
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# ==================================================================== #
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if (AMR:::pkg_is_available("dplyr") & AMR:::pkg_is_available("ggplot2")) {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0") & AMR:::pkg_is_available("ggplot2")) {
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pdf(NULL) # prevent Rplots.pdf being created
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@ -232,7 +232,7 @@ expect_warning(mdro(example_isolates,
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info = FALSE))
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# print groups
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if (AMR:::pkg_is_available("dplyr")) {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_stdout(x <- mdro(example_isolates %>% group_by(hospital_id), info = TRUE))
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expect_stdout(x <- mdro(example_isolates %>% group_by(hospital_id), guideline = custom, info = TRUE))
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}
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@ -58,7 +58,7 @@ expect_stdout(print(as.mic(c(1, 2, 4, 8))))
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expect_inherits(summary(as.mic(c(2, 8))), c("summaryDefault", "table"))
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if (AMR:::pkg_is_available("dplyr")) {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_stdout(print(tibble(m = as.mic(2:4))))
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}
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@ -143,7 +143,7 @@ expect_identical(as.character(as.mo("S. sanguinis", Lancefield = TRUE)), "B_S
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expect_identical(as.character(as.mo("S. salivarius", Lancefield = FALSE)), "B_STRPT_SLVR")
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expect_identical(as.character(as.mo("S. salivarius", Lancefield = TRUE)), "B_STRPT_GRPK") # group K
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if (AMR:::pkg_is_available("dplyr")) {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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# select with one column
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expect_identical(
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example_isolates[1:10, ] %>%
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@ -272,7 +272,7 @@ expect_equal(as.character(as.mo(c("meningococ", "gonococ", "pneumococ"))),
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expect_equal(suppressWarnings(as.character(as.mo(c("yeasts", "fungi")))),
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c("F_YEAST", "F_FUNGUS"))
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if (AMR:::pkg_is_available("dplyr")) {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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# print tibble
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expect_stdout(print(tibble(mo = as.mo("B_ESCHR_COLI"))))
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}
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@ -119,7 +119,7 @@ expect_equal(mo_is_intrinsic_resistant(c("Escherichia coli", "Staphylococcus aur
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# with reference data
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expect_equal(mo_name("test", reference_df = data.frame(col1 = "test", mo = "B_ESCHR_COLI")),
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"Escherichia coli")
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if (AMR:::pkg_is_available("dplyr")) {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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expect_equal(example_isolates %>% filter(mo_is_gram_negative()) %>% nrow(),
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730, tolerance = 0.5)
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expect_equal(example_isolates %>% filter(mo_is_gram_positive()) %>% nrow(),
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@ -47,7 +47,7 @@ if (AMR:::pkg_is_available("ggplot2")) {
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ggplot_pca(pca_model, arrows_textangled = FALSE)
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}
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if (AMR:::pkg_is_available("dplyr")) {
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if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
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resistance_data <- example_isolates %>%
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group_by(order = mo_order(mo),
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genus = mo_genus(mo)) %>%
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||||
|
@ -35,7 +35,7 @@ expect_equal(proportion_R(example_isolates$AMX) + proportion_I(example_isolates$
|
||||
expect_equal(proportion_S(example_isolates$AMX) + proportion_I(example_isolates$AMX),
|
||||
proportion_SI(example_isolates$AMX))
|
||||
|
||||
if (AMR:::pkg_is_available("dplyr")) {
|
||||
if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
|
||||
expect_equal(example_isolates %>% proportion_SI(AMC),
|
||||
0.7626397,
|
||||
tolerance = 0.0001)
|
||||
|
@ -23,7 +23,7 @@
|
||||
# how to conduct AMR data analysis: https://msberends.github.io/AMR/ #
|
||||
# ==================================================================== #
|
||||
|
||||
if (AMR:::pkg_is_available("dplyr")) {
|
||||
if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
|
||||
expect_stdout(AMX_R <- example_isolates %>%
|
||||
filter(mo == "B_ESCHR_COLI") %>%
|
||||
rsi_predict(col_ab = "AMX",
|
||||
|
@ -51,7 +51,7 @@ expect_identical(as.logical(lapply(example_isolates, is.rsi.eligible)),
|
||||
expect_error(as.rsi.mic(as.mic(16)))
|
||||
expect_error(as.rsi.disk(as.disk(16)))
|
||||
expect_error(get_guideline("this one does not exist"))
|
||||
if (AMR:::pkg_is_available("dplyr")) {
|
||||
if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
|
||||
# 40 rsi columns
|
||||
expect_equal(example_isolates %>%
|
||||
mutate_at(vars(PEN:RIF), as.character) %>%
|
||||
@ -66,7 +66,7 @@ if (AMR:::pkg_is_available("dplyr")) {
|
||||
if (AMR:::pkg_is_available("skimr")) {
|
||||
expect_inherits(skim(example_isolates),
|
||||
"data.frame")
|
||||
if (AMR:::pkg_is_available("dplyr")) {
|
||||
if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
|
||||
expect_inherits(example_isolates %>%
|
||||
mutate(m = as.mic(2),
|
||||
d = as.disk(20)) %>%
|
||||
@ -96,7 +96,7 @@ expect_equal(as.rsi(as.mic(2), "E. coli", "ampicillin", guideline = "EUCAST 2020
|
||||
as.rsi("S"))
|
||||
expect_equal(as.rsi(as.mic(32), "E. coli", "ampicillin", guideline = "EUCAST 2020"),
|
||||
as.rsi("R"))
|
||||
if (AMR:::pkg_is_available("dplyr")) {
|
||||
if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
|
||||
expect_true(suppressWarnings(example_isolates %>%
|
||||
mutate(amox_mic = as.mic(2)) %>%
|
||||
select(mo, amox_mic) %>%
|
||||
@ -123,7 +123,7 @@ expect_equal(as.character(
|
||||
ab = "ERY",
|
||||
guideline = "CLSI")),
|
||||
"R")
|
||||
if (AMR:::pkg_is_available("dplyr")) {
|
||||
if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0")) {
|
||||
expect_true(example_isolates %>%
|
||||
mutate(amox_disk = as.disk(15)) %>%
|
||||
select(mo, amox_disk) %>%
|
||||
|
Loading…
Reference in New Issue
Block a user