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(v2.1.1.9221) allow combined numeric MIC values
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Package: AMR
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Version: 2.1.1.9220
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Date: 2025-03-19
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Version: 2.1.1.9221
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Date: 2025-03-20
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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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3
NEWS.md
3
NEWS.md
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# AMR 2.1.1.9220
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# AMR 2.1.1.9221
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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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@ -46,6 +46,7 @@ This package now supports not only tools for AMR data analysis in clinical setti
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* It is now possible to use column names for argument `ab`, `mo`, and `uti`: `as.sir(..., ab = "column1", mo = "column2", uti = "column3")`. This greatly improves the flexibility for users.
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* Users can now set their own criteria (using regular expressions) as to what should be considered S, I, R, SDD, and NI.
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* To get quantitative values, `as.double()` on a `sir` object will return 1 for S, 2 for SDD/I, and 3 for R (NI will become `NA`). Other functions using `sir` classes (e.g., `summary()`) are updated to reflect the change to contain NI and SDD.
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* Combined MIC values (e.g., from CLSI) are now supported
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* The argument `conserve_capped_values` in `as.sir()` has been replaced with `capped_mic_handling`, which allows greater flexibility in handling capped MIC values (`<`, `<=`, `>`, `>=`). The four available options (`"standard"`, `"strict"`, `"relaxed"`, `"inverse"`) provide full control over whether these values should be interpreted conservatively or ignored. Using `conserve_capped_values` is now deprecated and returns a warning.
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* `antibiogram()` function
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* Argument `antibiotics` has been renamed to `antimicrobials`. Using `antibiotics` will still work, but now returns a warning.
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4
R/mic.R
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R/mic.R
@ -201,6 +201,10 @@ as.mic <- function(x, na.rm = FALSE, keep_operators = "all") {
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# transform Unicode for >= and <=
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x <- gsub("\u2264", "<=", x, fixed = TRUE)
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x <- gsub("\u2265", ">=", x, fixed = TRUE)
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if (any(x %like% "[0-9]/.*[0-9]", na.rm = TRUE)) {
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warning_("Some MICs were combined values, only the first values are kept")
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x[x %like% "[0-9]/.*[0-9]"] <- gsub("/.*", "", x[x %like% "[0-9]/.*[0-9]"])
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}
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# remove other invalid characters
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x <- gsub("[^a-zA-Z0-9.><= -]+", "", x, perl = TRUE)
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# transform => to >= and =< to <=
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@ -84,9 +84,7 @@ except metadata.PackageNotFoundError:
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# R package version of AMR
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r_amr_version = robjects.r(f'as.character(packageVersion("AMR", lib.loc = "{r_amr_lib_path}"))')
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print(python_amr_version)
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print(r_amr_version)
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r_amr_version = str(r_amr_version[0])
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# Compare R and Python package versions
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if r_amr_version != python_amr_version:
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@ -1,6 +1,6 @@
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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 2.1.1.9220. Remember this whenever someone asks which AMR package version you’re at.
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First and foremost, you are trained on version 2.1.1.9221. 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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