(v2.1.1.9051) fix VGS mo code

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: AMR
-Version: 2.1.1.9050
+Version: 2.1.1.9051
-Date: 2024-06-15
+Date: 2024-06-16
 Title: Antimicrobial Resistance Data Analysis
 Description: Functions to simplify and standardise antimicrobial resistance (AMR)
   data analysis and to work with microbial and antimicrobial properties by

NEWS.md

@@ -1,4 +1,4 @@
-# AMR 2.1.1.9050
+# AMR 2.1.1.9051
 
 *(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!)*
 

data-raw/microorganisms.codes.md5

@@ -1 +1 @@
-89e85bfa66228cfba526e375dad7ff37
+f3912da07889fcf0f4d1a8b8f0433ea7

data-raw/microorganisms.codes.txt

@@ -4858,7 +4858,6 @@
 "VFL"	"B_VIBRI_FLVL"
 "VFU"	"B_VIBRI_FRNS"
 "VGC"	"B_VGCCC"
-"VGS"	"B_VGCCC_SLMN"
 "VHI"	"B_VIBRI_CHLR"
 "VHO"	"B_GRMNT_HLLS"
 "VI-"	"B_VIBRI"

index.md

@@ -1,7 +1,7 @@
 # The `AMR` Package for R <a href="https://msberends.github.io/AMR/"><img src="./logo.svg" align="right" height="139" /></a>
 
-* Provides an **all-in-one solution** for AMR data analysis in a One Health approach
+* Provides an **all-in-one solution** for antimicrobial resistance (AMR) data analysis in a One Health approach
-* Used in over 175 countries, translated into 20 languages
+* Used in over 175 countries, available in 20 languages
 * Generates **antibiograms** - traditional, combined, syndromic, and even WISCA
 * Provides the **full microbiological taxonomy** and extensive info on **all antimicrobial drugs**
 * Applies all recent **CLSI** and **EUCAST** clinical and veterinary breakpoints for MICs and disk zones
@@ -26,7 +26,7 @@ This work was published in the Journal of Statistical Software (Volume 104(3); [
 
 After installing this package, R knows [**~52,000 distinct microbial species**](./reference/microorganisms.html) (updated December 2022) and all [**~600 antibiotic, antimycotic and antiviral drugs**](./reference/antibiotics.html) by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI and EUCAST are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). **It was designed to work in any setting, including those with very limited resources**. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the [University of Groningen](https://www.rug.nl), in collaboration with non-profit organisations [Certe Medical Diagnostics and Advice Foundation](https://www.certe.nl) and [University Medical Center Groningen](https://www.umcg.nl).
 
-##### Used in over 175 countries, translated into 20 languages
+##### Used in over 175 countries, available in 20 languages
 
 <a href="./countries_large.png" target="_blank"><img src="./countries.png" align="right" style="max-width: 300px;" /></a>
 

man/microorganisms.codes.Rd

@@ -3,9 +3,9 @@
 \docType{data}
 \name{microorganisms.codes}
 \alias{microorganisms.codes}
-\title{Data Set with 4 972 Common Microorganism Codes}
+\title{Data Set with 4 971 Common Microorganism Codes}
 \format{
-A \link[tibble:tibble]{tibble} with 4 972 observations and 2 variables:
+A \link[tibble:tibble]{tibble} with 4 971 observations and 2 variables:
 \itemize{
 \item \code{code}\cr Commonly used code of a microorganism. \emph{This is a unique identifier.}
 \item \code{mo}\cr ID of the microorganism in the \link{microorganisms} data set