(v2.1.1.9046) unit test fix

DESCRIPTION

@@ -1,5 +1,5 @@
 Package: AMR
-Version: 2.1.1.9045
+Version: 2.1.1.9046
 Date: 2024-06-12
 Title: Antimicrobial Resistance Data Analysis
 Description: Functions to simplify and standardise antimicrobial resistance (AMR)

NEWS.md

@@ -1,4 +1,4 @@
-# AMR 2.1.1.9045
+# AMR 2.1.1.9046
 
 *(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!)*
 

index.md

@@ -1,12 +1,14 @@
 # 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
+* Used in over 175 countries, translated into 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
-* Corrects for duplicate isolates, **calculates and predicts AMR** per antibiotic class
+* Applies all recent **CLSI** and **EUCAST** clinical and veterinary breakpoints for MICs and disk zones
+* Corrects for duplicate isolates using 4 methods, **calculates** and **predicts** AMR per antibiotic class
 * Integrates with **WHONET**, ATC, **EARS-Net**, PubChem, **LOINC**, **SNOMED CT**, and **NCBI**
-* Works on Windows, macOS and Linux with **all versions of R** since R-3.0 and is completely **dependency-free**, highly suitable for places with **limited resources**
+* 100% free of costs and dependencies, highly suitable for places with **limited resources**
+* **Easy to use** and **easy to learn**, with a **community** of contributors from around the globe
 
 <div style="display: flex; font-size: 0.8em;">
 <p style="text-align:left; width: 50%;"><small><a href="https://msberends.github.io/AMR/">https://msberends.github.io/AMR</a></small></p>

inst/tinytest/test-count.R

@@ -95,10 +95,8 @@ if (AMR:::pkg_is_available("dplyr", min_version = "1.0.0", also_load = TRUE)) {
     example_isolates %>% select(AMX) %>% count_df(combine_SI = FALSE) %>% pull(value),
     c(
       suppressWarnings(example_isolates$AMX %>% count_S()),
-      0,
       example_isolates$AMX %>% count_I(),
-      example_isolates$AMX %>% count_R(),
-      0
+      example_isolates$AMX %>% count_R()
     )
   )