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(v2.1.1.9229) unit tests
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Package: AMR
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Version: 2.1.1.9228
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Version: 2.1.1.9229
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Date: 2025-03-28
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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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2
NEWS.md
2
NEWS.md
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# AMR 2.1.1.9228
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# AMR 2.1.1.9229
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*(this beta version will eventually become v3.0. We're happy to reach a new major milestone soon, which will be all about the new One Health support! Install this beta using [the instructions here](https://msberends.github.io/AMR/#latest-development-version).)*
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This knowledge base contains all context you must know about the AMR package for R. You are a GPT trained to be an assistant for the AMR package in R. You are an incredible R specialist, especially trained in this package and in the tidyverse.
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First and foremost, you are trained on version 2.1.1.9228. Remember this whenever someone asks which AMR package version you’re at.
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First and foremost, you are trained on version 2.1.1.9229. Remember this whenever someone asks which AMR package version you’re at.
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Below are the contents of the NAMESPACE file, the index.md file, and all the man/*.Rd files (documentation) in the package. Every file content is split using 100 hypens.
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----------------------------------------------------------------------------------------------------
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@ -9972,7 +9972,7 @@ download_txt <- function(filename) {
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trimws(format(file.mtime(paste0("../data/", filename, ".rda")), "%e %B %Y %H:%M:%S %Z", tz = "UTC")),
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". Find more info about the contents, (scientific) source, and structure of this [data set here](https://msberends.github.io/AMR/reference/", ifelse(filename == "antivirals", "antimicrobials", filename), ".html).\n"
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)
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github_base <- "https://github.com/msberends/AMR/raw/main/"
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github_base <- "https://github.com/msberends/AMR/raw/main/data-raw/datasets/"
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local_filename <- paste0("../data-raw/datasets/", filename)
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rds <- paste0(local_filename, ".rds")
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txt <- paste0(local_filename, ".txt")
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@ -9984,7 +9984,7 @@ download_txt <- function(filename) {
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create_txt <- function(filename, type, software, exists) {
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if (isTRUE(exists)) {
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paste0(
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"* Download as [", software, "](", github_base, filename, ") (",
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"* Download as [", software, "](", github_base, basename(filename), ") (",
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AMR:::formatted_filesize(filename), ") \n"
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)
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} else {
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@ -130,6 +130,10 @@ input[type="search"] {
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.template-home .endorse_img {
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width: 150px;
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}
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blockquote {
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padding: 1.25rem 1.25rem;
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border-left: 1rem solid var(--amr-green-dark);
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}
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/*
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this shows on top of every sidebar to the right
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@ -117,7 +117,7 @@ test_that("test-eucast_rules.R", {
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TIC = as.sir("R"),
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PIP = as.sir("S")
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) %>%
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eucast_rules(col_mo = "mo", version_expertrules = 3.1, info = FALSE, overwrite = TRUE) %>%
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eucast_rules(col_mo = "mo", version_expertrules = 3.1, rules = "expert", info = FALSE, overwrite = TRUE) %>%
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pull(PIP) %>%
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unique() %>%
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as.character()
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@ -136,6 +136,7 @@ test_that("test-eucast_rules.R", {
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stringsAsFactors = FALSE
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),
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version_expertrules = 3.1,
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rules = "expert",
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overwrite = TRUE,
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only_sir_columns = FALSE
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)$CLR))
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@ -42,7 +42,7 @@ download_txt <- function(filename) {
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trimws(format(file.mtime(paste0("../data/", filename, ".rda")), "%e %B %Y %H:%M:%S %Z", tz = "UTC")),
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". Find more info about the contents, (scientific) source, and structure of this [data set here](https://msberends.github.io/AMR/reference/", ifelse(filename == "antivirals", "antimicrobials", filename), ".html).\n"
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)
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github_base <- "https://github.com/msberends/AMR/raw/main/"
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github_base <- "https://github.com/msberends/AMR/raw/main/data-raw/datasets/"
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local_filename <- paste0("../data-raw/datasets/", filename)
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rds <- paste0(local_filename, ".rds")
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txt <- paste0(local_filename, ".txt")
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@ -54,7 +54,7 @@ download_txt <- function(filename) {
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create_txt <- function(filename, type, software, exists) {
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if (isTRUE(exists)) {
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paste0(
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"* Download as [", software, "](", github_base, filename, ") (",
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"* Download as [", software, "](", github_base, basename(filename), ") (",
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AMR:::formatted_filesize(filename), ") \n"
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)
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} else {
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