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mirror of https://github.com/msberends/AMR.git synced 2024-12-25 19:26:13 +01:00

(v1.5.0.9017) unit testing

This commit is contained in:
dr. M.S. (Matthijs) Berends 2021-02-08 21:09:36 +01:00
parent 4a84894f79
commit cb404492b2
20 changed files with 47 additions and 36 deletions

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@ -1,5 +1,5 @@
Package: AMR Package: AMR
Version: 1.5.0.9016 Version: 1.5.0.9017
Date: 2021-02-08 Date: 2021-02-08
Title: Antimicrobial Resistance Data Analysis Title: Antimicrobial Resistance Data Analysis
Authors@R: c( Authors@R: c(

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@ -1,4 +1,4 @@
# AMR 1.5.0.9016 # AMR 1.5.0.9017
## <small>Last updated: 8 February 2021</small> ## <small>Last updated: 8 February 2021</small>
### New ### New
@ -52,11 +52,11 @@
* WHONET code `"PNV"` will now correctly be interpreted as `PHN`, the antibiotic code for phenoxymethylpenicillin ('peni V') * WHONET code `"PNV"` will now correctly be interpreted as `PHN`, the antibiotic code for phenoxymethylpenicillin ('peni V')
* Fix for verbose output of `mdro(..., verbose = TRUE)` for German guideline (3MGRN and 4MGRN) and Dutch guideline (BRMO, only *P. aeruginosa*) * Fix for verbose output of `mdro(..., verbose = TRUE)` for German guideline (3MGRN and 4MGRN) and Dutch guideline (BRMO, only *P. aeruginosa*)
* `is.rsi.eligible()` now detects if the column name resembles an antibiotic name or code and now returns `TRUE` immediately if the input contains any of the values "R", "S" or "I". This drastically improves speed, also for a lot of other functions that rely on automatic determination of antibiotic columns. * `is.rsi.eligible()` now detects if the column name resembles an antibiotic name or code and now returns `TRUE` immediately if the input contains any of the values "R", "S" or "I". This drastically improves speed, also for a lot of other functions that rely on automatic determination of antibiotic columns.
* Functions `get_episode()` and `is_new_episode()` now support less than a day as value for argument `episode_days` (e.g., to include one patient/test per hour) * Functions `get_episode()` and `is_new_episode()` now support less than a day as value for argument `episode_days` (e.g., to include one patient/test per hour)
* Argument `ampc_cephalosporin_resistance` in `eucast_rules()` now also applies to value "I" (not only "S") * Argument `ampc_cephalosporin_resistance` in `eucast_rules()` now also applies to value "I" (not only "S")
* Updated colours of values R, S and I in tibble printing * Updated colours of values R, S and I in tibble printing
* 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()` * 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()`
* Improved speed of `guess_ab_col()` * 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.
### Other ### Other
* Big documentation updates * Big documentation updates

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@ -734,7 +734,7 @@ get_current_column <- function() {
is_null_or_grouped_tbl <- function(x) { is_null_or_grouped_tbl <- function(x) {
# attribute "grouped_df" might change at one point, so only set in one place; here. # attribute "grouped_df" might change at one point, so only set in one place; here.
is.null(x) || inherits(x, "grouped_tbl") is.null(x) || inherits(x, "grouped_df")
} }
unique_call_id <- function(entire_session = FALSE) { unique_call_id <- function(entire_session = FALSE) {

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@ -147,9 +147,6 @@ filter_ab_class <- function(x,
} else { } else {
scope_txt <- " and " scope_txt <- " and "
scope_fn <- all scope_fn <- all
if (length(agents) > 1) {
operator <- gsub("is", "are", operator)
}
} }
if (length(agents) > 1) { if (length(agents) > 1) {
operator <- " are" operator <- " are"

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@ -187,7 +187,8 @@ first_isolate <- function(x = NULL,
if (is_null_or_grouped_tbl(x)) { if (is_null_or_grouped_tbl(x)) {
# when `x` is left blank, auto determine it (get_current_data() also contains dplyr::cur_data_all()) # when `x` is left blank, auto determine it (get_current_data() also contains dplyr::cur_data_all())
# is also fix for using a grouped df as input (a dot as first argument) # is also fix for using a grouped df as input (a dot as first argument)
x <- get_current_data(arg_name = "x", call = -2) x <- tryCatch(get_current_data(arg_name = "x", call = -2), error = function(e) x)
meet_criteria(x, allow_class = "data.frame")
} }
# remove data.table, grouping from tibbles, etc. # remove data.table, grouping from tibbles, etc.
x <- as.data.frame(x, stringsAsFactors = FALSE) x <- as.data.frame(x, stringsAsFactors = FALSE)
@ -518,7 +519,8 @@ filter_first_isolate <- function(x = NULL,
if (is_null_or_grouped_tbl(x)) { if (is_null_or_grouped_tbl(x)) {
# when `x` is left blank, auto determine it (get_current_data() also contains dplyr::cur_data_all()) # when `x` is left blank, auto determine it (get_current_data() also contains dplyr::cur_data_all())
# is also fix for using a grouped df as input (a dot as first argument) # is also fix for using a grouped df as input (a dot as first argument)
x <- get_current_data(arg_name = "x", call = -2) x <- tryCatch(get_current_data(arg_name = "x", call = -2), error = function(e) x)
meet_criteria(x, allow_class = "data.frame")
} }
subset(x, first_isolate(x = x, subset(x, first_isolate(x = x,
col_date = col_date, col_date = col_date,
@ -543,7 +545,8 @@ filter_first_weighted_isolate <- function(x = NULL,
if (is_null_or_grouped_tbl(x)) { if (is_null_or_grouped_tbl(x)) {
# when `x` is left blank, auto determine it (get_current_data() also contains dplyr::cur_data_all()) # when `x` is left blank, auto determine it (get_current_data() also contains dplyr::cur_data_all())
# is also fix for using a grouped df as input (a dot as first argument) # is also fix for using a grouped df as input (a dot as first argument)
x <- get_current_data(arg_name = "x", call = -2) x <- tryCatch(get_current_data(arg_name = "x", call = -2), error = function(e) x)
meet_criteria(x, allow_class = "data.frame")
} }
y <- x y <- x
if (is.null(col_keyantibiotics)) { if (is.null(col_keyantibiotics)) {

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@ -155,7 +155,8 @@ key_antibiotics <- function(x = NULL,
if (is_null_or_grouped_tbl(x)) { if (is_null_or_grouped_tbl(x)) {
# when `x` is left blank, auto determine it (get_current_data() also contains dplyr::cur_data_all()) # when `x` is left blank, auto determine it (get_current_data() also contains dplyr::cur_data_all())
# is also fix for using a grouped df as input (a dot as first argument) # is also fix for using a grouped df as input (a dot as first argument)
x <- get_current_data(arg_name = "x", call = -2) x <- tryCatch(get_current_data(arg_name = "x", call = -2), error = function(e) x)
meet_criteria(x, allow_class = "data.frame")
} }
# force regular data.frame, not a tibble or data.table # force regular data.frame, not a tibble or data.table
x <- as.data.frame(x, stringsAsFactors = FALSE) x <- as.data.frame(x, stringsAsFactors = FALSE)

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@ -218,7 +218,8 @@ mdro <- function(x = NULL,
if (is_null_or_grouped_tbl(x)) { if (is_null_or_grouped_tbl(x)) {
# when `x` is left blank, auto determine it (get_current_data() also contains dplyr::cur_data_all()) # when `x` is left blank, auto determine it (get_current_data() also contains dplyr::cur_data_all())
# is also fix for using a grouped df as input (a dot as first argument) # is also fix for using a grouped df as input (a dot as first argument)
x <- get_current_data(arg_name = "x", call = -2) x <- tryCatch(get_current_data(arg_name = "x", call = -2), error = function(e) x)
meet_criteria(x, allow_class = "data.frame")
} }
# force regular data.frame, not a tibble or data.table # force regular data.frame, not a tibble or data.table

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@ -81,7 +81,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="https://msberends.github.io/AMR//index.html">AMR (for R)</a> <a class="navbar-link" href="https://msberends.github.io/AMR//index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9016</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9017</span>
</span> </span>
</div> </div>

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@ -81,7 +81,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="index.html">AMR (for R)</a> <a class="navbar-link" href="index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9016</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9017</span>
</span> </span>
</div> </div>

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@ -81,7 +81,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9016</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9017</span>
</span> </span>
</div> </div>

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@ -81,7 +81,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="index.html">AMR (for R)</a> <a class="navbar-link" href="index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9016</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9017</span>
</span> </span>
</div> </div>

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@ -43,7 +43,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="index.html">AMR (for R)</a> <a class="navbar-link" href="index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9016</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9017</span>
</span> </span>
</div> </div>

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@ -12,7 +12,7 @@ articles:
datasets: datasets.html datasets: datasets.html
resistance_predict: resistance_predict.html resistance_predict: resistance_predict.html
welcome_to_AMR: welcome_to_AMR.html welcome_to_AMR: welcome_to_AMR.html
last_built: 2021-02-08T12:50Z last_built: 2021-02-08T19:58Z
urls: urls:
reference: https://msberends.github.io/AMR//reference reference: https://msberends.github.io/AMR//reference
article: https://msberends.github.io/AMR//articles article: https://msberends.github.io/AMR//articles

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@ -81,7 +81,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9016</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9017</span>
</span> </span>
</div> </div>

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@ -81,7 +81,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="index.html">AMR (for R)</a> <a class="navbar-link" href="index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9016</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9017</span>
</span> </span>
</div> </div>

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@ -39,6 +39,7 @@ test_that("Antibiotic class selectors work", {
expect_lt(example_isolates %>% dplyr::select(fluoroquinolones()) %>% ncol(), ncol(example_isolates)) expect_lt(example_isolates %>% dplyr::select(fluoroquinolones()) %>% ncol(), ncol(example_isolates))
expect_lt(example_isolates %>% dplyr::select(glycopeptides()) %>% ncol(), ncol(example_isolates)) expect_lt(example_isolates %>% dplyr::select(glycopeptides()) %>% ncol(), ncol(example_isolates))
expect_lt(example_isolates %>% dplyr::select(macrolides()) %>% ncol(), ncol(example_isolates)) expect_lt(example_isolates %>% dplyr::select(macrolides()) %>% ncol(), ncol(example_isolates))
expect_lt(example_isolates %>% dplyr::select(oxazolidinones()) %>% ncol(), ncol(example_isolates))
expect_lt(example_isolates %>% dplyr::select(penicillins()) %>% ncol(), ncol(example_isolates)) expect_lt(example_isolates %>% dplyr::select(penicillins()) %>% ncol(), ncol(example_isolates))
expect_lt(example_isolates %>% dplyr::select(tetracyclines()) %>% ncol(), ncol(example_isolates)) expect_lt(example_isolates %>% dplyr::select(tetracyclines()) %>% ncol(), ncol(example_isolates))

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@ -30,17 +30,20 @@ test_that("ATC-group filtering works", {
library(dplyr) library(dplyr)
expect_gt(example_isolates %>% filter_ab_class("carbapenem") %>% nrow(), 0) expect_gt(example_isolates %>% filter_ab_class("carbapenem") %>% nrow(), 0)
expect_gt(example_isolates %>% filter_aminoglycosides() %>% nrow(), 0) expect_gt(example_isolates %>% filter_aminoglycosides() %>% ncol(), 0)
expect_gt(example_isolates %>% filter_carbapenems() %>% nrow(), 0) expect_gt(example_isolates %>% filter_carbapenems() %>% ncol(), 0)
expect_gt(example_isolates %>% filter_cephalosporins() %>% nrow(), 0) expect_gt(example_isolates %>% filter_cephalosporins() %>% ncol(), 0)
expect_gt(example_isolates %>% filter_1st_cephalosporins() %>% nrow(), 0) expect_gt(example_isolates %>% filter_1st_cephalosporins() %>% ncol(), 0)
expect_gt(example_isolates %>% filter_2nd_cephalosporins() %>% nrow(), 0) expect_gt(example_isolates %>% filter_2nd_cephalosporins() %>% ncol(), 0)
expect_gt(example_isolates %>% filter_3rd_cephalosporins() %>% nrow(), 0) expect_gt(example_isolates %>% filter_3rd_cephalosporins() %>% ncol(), 0)
expect_gt(example_isolates %>% filter_4th_cephalosporins() %>% nrow(), 0) expect_gt(example_isolates %>% filter_4th_cephalosporins() %>% ncol(), 0)
expect_gt(example_isolates %>% filter_fluoroquinolones() %>% nrow(), 0) expect_gt(example_isolates %>% filter_5th_cephalosporins() %>% ncol(), 0)
expect_gt(example_isolates %>% filter_glycopeptides() %>% nrow(), 0) expect_gt(example_isolates %>% filter_fluoroquinolones() %>% ncol(), 0)
expect_gt(example_isolates %>% filter_macrolides() %>% nrow(), 0) expect_gt(example_isolates %>% filter_glycopeptides() %>% ncol(), 0)
expect_gt(example_isolates %>% filter_tetracyclines() %>% nrow(), 0) expect_gt(example_isolates %>% filter_macrolides() %>% ncol(), 0)
expect_gt(example_isolates %>% filter_oxazolidinones() %>% ncol(), 0)
expect_gt(example_isolates %>% filter_penicillins() %>% ncol(), 0)
expect_gt(example_isolates %>% filter_tetracyclines() %>% ncol(), 0)
expect_gt(example_isolates %>% filter_carbapenems("R", "all") %>% nrow(), 0) expect_gt(example_isolates %>% filter_carbapenems("R", "all") %>% nrow(), 0)

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@ -50,7 +50,7 @@ test_that("first isolates work", {
type = "keyantibiotics", type = "keyantibiotics",
info = TRUE), info = TRUE),
na.rm = TRUE)), na.rm = TRUE)),
1396) 1395)
# when not ignoring I # when not ignoring I
expect_equal( expect_equal(
@ -65,7 +65,7 @@ test_that("first isolates work", {
type = "keyantibiotics", type = "keyantibiotics",
info = TRUE), info = TRUE),
na.rm = TRUE)), na.rm = TRUE)),
1419) 1418)
# when using points # when using points
expect_equal( expect_equal(
suppressWarnings( suppressWarnings(
@ -78,7 +78,7 @@ test_that("first isolates work", {
type = "points", type = "points",
info = TRUE), info = TRUE),
na.rm = TRUE)), na.rm = TRUE)),
1399) 1398)
# first non-ICU isolates # first non-ICU isolates
expect_equal( expect_equal(

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@ -47,7 +47,7 @@ test_that("mdro works", {
library(dplyr) library(dplyr)
# example_isolates should have these finding using Dutch guidelines # example_isolates should have these finding using Dutch guidelines
expect_equal(as.double(table(outcome)), expect_equal(as.double(table(outcome)),
c(1969, 25, 6)) # 1969 neg, 25 unconfirmed, 6 pos c(1970, 24, 6)) # 1970 neg, 24 unconfirmed, 6 pos
expect_equal(brmo(example_isolates, info = FALSE), expect_equal(brmo(example_isolates, info = FALSE),
mdro(example_isolates, guideline = "BRMO", info = FALSE)) mdro(example_isolates, guideline = "BRMO", info = FALSE))
@ -241,4 +241,9 @@ test_that("mdro works", {
guideline = custom_mdro_guideline(test ~ "A"), guideline = custom_mdro_guideline(test ~ "A"),
info = FALSE)) info = FALSE))
# print groups
library(dplyr)
expect_output(x <- mdro(example_isolates %>% group_by(hospital_id), info = TRUE))
expect_output(x <- mdro(example_isolates %>% group_by(hospital_id), guideline = custom, info = TRUE))
}) })