WHOCC                   WHOCC: WHO Collaborating Centre for Drug
                        Statistics Methodology
WHONET                  Data Set with 500 Isolates - WHONET Example
ab_from_text            Retrieve Antimicrobial Drug Names and Doses
                        from Clinical Text
ab_property             Get Properties of an Antibiotic
add_custom_antimicrobials
                        Add Custom Antimicrobials
add_custom_microorganisms
                        Add Custom Microorganisms
age                     Age in Years of Individuals
age_groups              Split Ages into Age Groups
antibiogram             Generate Antibiogram: Traditional, Combined,
                        Syndromic, or Weighted-Incidence Syndromic
                        Combination (WISCA)
antibiotic_class_selectors
                        Antibiotic Selectors
antibiotics             Data Sets with 603 Antimicrobial Drugs
as.ab                   Transform Input to an Antibiotic ID
as.av                   Transform Input to an Antiviral Drug ID
as.disk                 Transform Input to Disk Diffusion Diameters
as.mic                  Transform Input to Minimum Inhibitory
                        Concentrations (MIC)
as.mo                   Transform Arbitrary Input to Valid Microbial
                        Taxonomy
as.sir                  Translate MIC and Disk Diffusion to SIR, or
                        Clean Existing SIR Data
atc_online_property     Get ATC Properties from WHOCC Website
av_from_text            Retrieve Antiviral Drug Names and Doses from
                        Clinical Text
av_property             Get Properties of an Antiviral Drug
availability            Check Availability of Columns
bug_drug_combinations   Determine Bug-Drug Combinations
clinical_breakpoints    Data Set with Clinical Breakpoints for SIR
                        Interpretation
count                   Count Available Isolates
custom_eucast_rules     Define Custom EUCAST Rules
dosage                  Data Set with Treatment Dosages as Defined by
                        EUCAST
eucast_rules            Apply EUCAST Rules
example_isolates        Data Set with 2 000 Example Isolates
example_isolates_unclean
                        Data Set with Unclean Data
first_isolate           Determine First Isolates
g.test                  _G_-test for Count Data
get_episode             Determine Clinical or Epidemic Episodes
ggplot_pca              PCA Biplot with 'ggplot2'
ggplot_sir              AMR Plots with 'ggplot2'
guess_ab_col            Guess Antibiotic Column
intrinsic_resistant     Data Set with Bacterial Intrinsic Resistance
italicise_taxonomy      Italicise Taxonomic Families, Genera, Species,
                        Subspecies
join                    Join microorganisms to a Data Set
key_antimicrobials      (Key) Antimicrobials for First Weighted
                        Isolates
kurtosis                Kurtosis of the Sample
like                    Vectorised Pattern Matching with Keyboard
                        Shortcut
mdro                    Determine Multidrug-Resistant Organisms (MDRO)
mean_amr_distance       Calculate the Mean AMR Distance
microorganisms          Data Set with 52 171 Microorganisms
microorganisms.codes    Data Set with 4 957 Common Microorganism Codes
microorganisms.groups   Data Set with 521 Microorganisms In Species
                        Groups
mo_matching_score       Calculate the Matching Score for Microorganisms
mo_property             Get Properties of a Microorganism
mo_source               User-Defined Reference Data Set for
                        Microorganisms
pca                     Principal Component Analysis (for AMR)
plot                    Plotting for Classes 'sir', 'mic' and 'disk'
proportion              Calculate Antimicrobial Resistance
random                  Random MIC Values/Disk Zones/SIR Generation
resistance_predict      Predict Antimicrobial Resistance
skewness                Skewness of the Sample
translate               Translate Strings from the AMR Package
