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(v1.5.0.9017) unit testing
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Package: AMR
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Version: 1.5.0.9016
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Version: 1.5.0.9017
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Date: 2021-02-08
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Title: Antimicrobial Resistance Data Analysis
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Authors@R: c(
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4
NEWS.md
4
NEWS.md
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# AMR 1.5.0.9016
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# AMR 1.5.0.9017
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## <small>Last updated: 8 February 2021</small>
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### New
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@ -56,7 +56,7 @@
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* Argument `ampc_cephalosporin_resistance` in `eucast_rules()` now also applies to value "I" (not only "S")
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* Updated colours of values R, S and I in tibble printing
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* Functions `print()` and `summary()` on a Principal Components Analysis object (`pca()`) now print additional group info if the original data was grouped using `dplyr::group_by()`
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* Improved speed of `guess_ab_col()`
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* Improved speed and reliability of `guess_ab_col()`. As this also internally improves the reliability of `first_isolate()` and `mdro()`, this might have a slight impact on the results of those functions.
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### Other
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* Big documentation updates
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@ -734,7 +734,7 @@ get_current_column <- function() {
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is_null_or_grouped_tbl <- function(x) {
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# attribute "grouped_df" might change at one point, so only set in one place; here.
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is.null(x) || inherits(x, "grouped_tbl")
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is.null(x) || inherits(x, "grouped_df")
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}
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unique_call_id <- function(entire_session = FALSE) {
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@ -147,9 +147,6 @@ filter_ab_class <- function(x,
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} else {
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scope_txt <- " and "
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scope_fn <- all
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if (length(agents) > 1) {
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operator <- gsub("is", "are", operator)
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}
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}
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if (length(agents) > 1) {
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operator <- " are"
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@ -187,7 +187,8 @@ first_isolate <- function(x = NULL,
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if (is_null_or_grouped_tbl(x)) {
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# when `x` is left blank, auto determine it (get_current_data() also contains dplyr::cur_data_all())
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# is also fix for using a grouped df as input (a dot as first argument)
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x <- get_current_data(arg_name = "x", call = -2)
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x <- tryCatch(get_current_data(arg_name = "x", call = -2), error = function(e) x)
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meet_criteria(x, allow_class = "data.frame")
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}
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# remove data.table, grouping from tibbles, etc.
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x <- as.data.frame(x, stringsAsFactors = FALSE)
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@ -518,7 +519,8 @@ filter_first_isolate <- function(x = NULL,
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if (is_null_or_grouped_tbl(x)) {
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# when `x` is left blank, auto determine it (get_current_data() also contains dplyr::cur_data_all())
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# is also fix for using a grouped df as input (a dot as first argument)
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x <- get_current_data(arg_name = "x", call = -2)
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x <- tryCatch(get_current_data(arg_name = "x", call = -2), error = function(e) x)
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meet_criteria(x, allow_class = "data.frame")
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}
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subset(x, first_isolate(x = x,
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col_date = col_date,
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@ -543,7 +545,8 @@ filter_first_weighted_isolate <- function(x = NULL,
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if (is_null_or_grouped_tbl(x)) {
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# when `x` is left blank, auto determine it (get_current_data() also contains dplyr::cur_data_all())
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# is also fix for using a grouped df as input (a dot as first argument)
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x <- get_current_data(arg_name = "x", call = -2)
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x <- tryCatch(get_current_data(arg_name = "x", call = -2), error = function(e) x)
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meet_criteria(x, allow_class = "data.frame")
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}
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y <- x
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if (is.null(col_keyantibiotics)) {
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@ -155,7 +155,8 @@ key_antibiotics <- function(x = NULL,
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if (is_null_or_grouped_tbl(x)) {
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# when `x` is left blank, auto determine it (get_current_data() also contains dplyr::cur_data_all())
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# is also fix for using a grouped df as input (a dot as first argument)
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x <- get_current_data(arg_name = "x", call = -2)
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x <- tryCatch(get_current_data(arg_name = "x", call = -2), error = function(e) x)
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meet_criteria(x, allow_class = "data.frame")
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}
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# force regular data.frame, not a tibble or data.table
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x <- as.data.frame(x, stringsAsFactors = FALSE)
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3
R/mdro.R
3
R/mdro.R
@ -218,7 +218,8 @@ mdro <- function(x = NULL,
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if (is_null_or_grouped_tbl(x)) {
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# when `x` is left blank, auto determine it (get_current_data() also contains dplyr::cur_data_all())
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# is also fix for using a grouped df as input (a dot as first argument)
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x <- get_current_data(arg_name = "x", call = -2)
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x <- tryCatch(get_current_data(arg_name = "x", call = -2), error = function(e) x)
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meet_criteria(x, allow_class = "data.frame")
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}
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# force regular data.frame, not a tibble or data.table
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Binary file not shown.
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</button>
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<span class="navbar-brand">
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<a class="navbar-link" href="https://msberends.github.io/AMR//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">1.5.0.9016</span>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9017</span>
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</span>
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</div>
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@ -81,7 +81,7 @@
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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">1.5.0.9016</span>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9017</span>
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</span>
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</div>
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@ -81,7 +81,7 @@
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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">1.5.0.9016</span>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9017</span>
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</span>
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</div>
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@ -81,7 +81,7 @@
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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">1.5.0.9016</span>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9017</span>
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</span>
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</div>
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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">1.5.0.9016</span>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9017</span>
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</span>
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</div>
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@ -12,7 +12,7 @@ articles:
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datasets: datasets.html
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resistance_predict: resistance_predict.html
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welcome_to_AMR: welcome_to_AMR.html
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last_built: 2021-02-08T12:50Z
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last_built: 2021-02-08T19:58Z
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urls:
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reference: https://msberends.github.io/AMR//reference
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article: https://msberends.github.io/AMR//articles
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@ -81,7 +81,7 @@
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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">1.5.0.9016</span>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9017</span>
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</span>
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</div>
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@ -81,7 +81,7 @@
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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">1.5.0.9016</span>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9017</span>
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</span>
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</div>
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@ -39,6 +39,7 @@ test_that("Antibiotic class selectors work", {
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expect_lt(example_isolates %>% dplyr::select(fluoroquinolones()) %>% ncol(), ncol(example_isolates))
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expect_lt(example_isolates %>% dplyr::select(glycopeptides()) %>% ncol(), ncol(example_isolates))
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expect_lt(example_isolates %>% dplyr::select(macrolides()) %>% ncol(), ncol(example_isolates))
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expect_lt(example_isolates %>% dplyr::select(oxazolidinones()) %>% ncol(), ncol(example_isolates))
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expect_lt(example_isolates %>% dplyr::select(penicillins()) %>% ncol(), ncol(example_isolates))
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expect_lt(example_isolates %>% dplyr::select(tetracyclines()) %>% ncol(), ncol(example_isolates))
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library(dplyr)
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expect_gt(example_isolates %>% filter_ab_class("carbapenem") %>% nrow(), 0)
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expect_gt(example_isolates %>% filter_aminoglycosides() %>% nrow(), 0)
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expect_gt(example_isolates %>% filter_carbapenems() %>% nrow(), 0)
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expect_gt(example_isolates %>% filter_cephalosporins() %>% nrow(), 0)
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expect_gt(example_isolates %>% filter_1st_cephalosporins() %>% nrow(), 0)
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expect_gt(example_isolates %>% filter_2nd_cephalosporins() %>% nrow(), 0)
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expect_gt(example_isolates %>% filter_3rd_cephalosporins() %>% nrow(), 0)
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expect_gt(example_isolates %>% filter_4th_cephalosporins() %>% nrow(), 0)
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expect_gt(example_isolates %>% filter_fluoroquinolones() %>% nrow(), 0)
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expect_gt(example_isolates %>% filter_glycopeptides() %>% nrow(), 0)
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expect_gt(example_isolates %>% filter_macrolides() %>% nrow(), 0)
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expect_gt(example_isolates %>% filter_tetracyclines() %>% nrow(), 0)
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expect_gt(example_isolates %>% filter_aminoglycosides() %>% ncol(), 0)
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expect_gt(example_isolates %>% filter_carbapenems() %>% ncol(), 0)
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expect_gt(example_isolates %>% filter_cephalosporins() %>% ncol(), 0)
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expect_gt(example_isolates %>% filter_1st_cephalosporins() %>% ncol(), 0)
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expect_gt(example_isolates %>% filter_2nd_cephalosporins() %>% ncol(), 0)
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expect_gt(example_isolates %>% filter_3rd_cephalosporins() %>% ncol(), 0)
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expect_gt(example_isolates %>% filter_4th_cephalosporins() %>% ncol(), 0)
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expect_gt(example_isolates %>% filter_5th_cephalosporins() %>% ncol(), 0)
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expect_gt(example_isolates %>% filter_fluoroquinolones() %>% ncol(), 0)
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expect_gt(example_isolates %>% filter_glycopeptides() %>% ncol(), 0)
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expect_gt(example_isolates %>% filter_macrolides() %>% ncol(), 0)
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expect_gt(example_isolates %>% filter_oxazolidinones() %>% ncol(), 0)
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expect_gt(example_isolates %>% filter_penicillins() %>% ncol(), 0)
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expect_gt(example_isolates %>% filter_tetracyclines() %>% ncol(), 0)
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expect_gt(example_isolates %>% filter_carbapenems("R", "all") %>% nrow(), 0)
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type = "keyantibiotics",
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info = TRUE),
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na.rm = TRUE)),
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1396)
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1395)
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# when not ignoring I
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expect_equal(
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@ -65,7 +65,7 @@ test_that("first isolates work", {
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type = "keyantibiotics",
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info = TRUE),
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na.rm = TRUE)),
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1419)
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1418)
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# when using points
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expect_equal(
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suppressWarnings(
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@ -78,7 +78,7 @@ test_that("first isolates work", {
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type = "points",
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info = TRUE),
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na.rm = TRUE)),
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1399)
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1398)
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# first non-ICU isolates
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expect_equal(
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@ -47,7 +47,7 @@ test_that("mdro works", {
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library(dplyr)
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# example_isolates should have these finding using Dutch guidelines
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expect_equal(as.double(table(outcome)),
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c(1969, 25, 6)) # 1969 neg, 25 unconfirmed, 6 pos
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c(1970, 24, 6)) # 1970 neg, 24 unconfirmed, 6 pos
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expect_equal(brmo(example_isolates, info = FALSE),
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mdro(example_isolates, guideline = "BRMO", info = FALSE))
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@ -241,4 +241,9 @@ test_that("mdro works", {
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guideline = custom_mdro_guideline(test ~ "A"),
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info = FALSE))
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# print groups
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library(dplyr)
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expect_output(x <- mdro(example_isolates %>% group_by(hospital_id), info = TRUE))
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expect_output(x <- mdro(example_isolates %>% group_by(hospital_id), guideline = custom, info = TRUE))
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})
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