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    "clear_custom_microorganisms",
    "clsi_rules",
    "count_all",
    "count_df",
    "count_I",
    "count_IR",
    "count_R",
    "count_resistant",
    "count_S",
    "count_SI",
    "count_susceptible",
    "custom_eucast_rules",
    "custom_interpretive_rules",
    "custom_mdro_guideline",
    "eucast_dosage",
    "eucast_exceptional_phenotypes",
    "eucast_rules",
    "facet_sir",
    "filter_first_isolate",
    "first_isolate",
    "fluoroquinolones",
    "full_join_microorganisms",
    "g.test",
    "geom_sir",
    "get_AMR_locale",
    "get_episode",
    "get_mo_source",
    "ggplot_pca",
    "ggplot_sir",
    "ggplot_sir_predict",
    "glycopeptides",
    "guess_ab_col",
    "inner_join_microorganisms",
    "interpretive_rules",
    "ionophores",
    "is_new_episode",
    "is_sir_eligible",
    "is.ab",
    "is.av",
    "is.disk",
    "is.mic",
    "is.mo",
    "is.sir",
    "isoxazolylpenicillins",
    "italicise_taxonomy",
    "italicize_taxonomy",
    "key_antimicrobials",
    "kurtosis",
    "labels_sir_count",
    "left_join_microorganisms",
    "like",
    "lincosamides",
    "lipoglycopeptides",
    "macrolides",
    "mdr_cmi2012",
    "mdr_tb",
    "mdro",
    "mean_amr_distance",
    "mic_p50",
    "mic_p90",
    "mo_authors",
    "mo_class",
    "mo_cleaning_regex",
    "mo_current",
    "mo_domain",
    "mo_failures",
    "mo_family",
    "mo_fullname",
    "mo_gbif",
    "mo_genus",
    "mo_gramstain",
    "mo_group_members",
    "mo_info",
    "mo_is_anaerobic",
    "mo_is_gram_negative",
    "mo_is_gram_positive",
    "mo_is_intrinsic_resistant",
    "mo_is_yeast",
    "mo_kingdom",
    "mo_lpsn",
    "mo_matching_score",
    "mo_mycobank",
    "mo_name",
    "mo_order",
    "mo_oxygen_tolerance",
    "mo_pathogenicity",
    "mo_phylum",
    "mo_property",
    "mo_rank",
    "mo_ref",
    "mo_renamed",
    "mo_reset_session",
    "mo_shortname",
    "mo_snomed",
    "mo_species",
    "mo_status",
    "mo_subspecies",
    "mo_synonyms",
    "mo_taxonomy",
    "mo_type",
    "mo_uncertainties",
    "mo_url",
    "mo_year",
    "monobactams",
    "mrgn",
    "n_sir",
    "NA_ab_",
    "NA_disk_",
    "NA_mic_",
    "NA_mo_",
    "NA_sir_",
    "nitrofurans",
    "not_intrinsic_resistant",
    "oxazolidinones",
    "pca",
    "penicillins",
    "peptides",
    "phenicols",
    "phosphonics",
    "polymyxins",
    "proportion_df",
    "proportion_I",
    "proportion_IR",
    "proportion_R",
    "proportion_S",
    "proportion_SI",
    "quinolones",
    "random_disk",
    "random_mic",
    "random_sir",
    "rescale_mic",
    "reset_AMR_locale",
    "resistance",
    "resistance_predict",
    "retrieve_wisca_parameters",
    "rifamycins",
    "right_join_microorganisms",
    "scale_color_mic",
    "scale_color_sir",
    "scale_colour_mic",
    "scale_colour_sir",
    "scale_fill_mic",
    "scale_fill_sir",
    "scale_sir_colors",
    "scale_sir_colours",
    "scale_x_mic",
    "scale_x_sir",
    "scale_y_mic",
    "scale_y_percent",
    "semi_join_microorganisms",
    "set_ab_names",
    "set_AMR_locale",
    "set_mo_source",
    "sir_confidence_interval",
    "sir_df",
    "sir_interpretation_history",
    "sir_predict",
    "skewness",
    "spiropyrimidinetriones",
    "step_mic_log2",
    "step_sir_numeric",
    "streptogramins",
    "sulfonamides",
    "susceptibility",
    "tetracyclines",
    "theme_sir",
    "top_n_microorganisms",
    "translate_AMR",
    "trimethoprims",
    "ureidopenicillins",
    "wisca"
  ],
  "_datasets": [
    {
      "name": "antibiotics",
      "title": "Data Sets with 625 Antimicrobial Drugs",
      "object": "antibiotics",
      "class": [
        "deprecated_amr_dataset",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "ab",
        "cid",
        "name",
        "group",
        "atc",
        "atc_group1",
        "atc_group2",
        "abbreviations",
        "synonyms",
        "oral_ddd",
        "oral_units",
        "iv_ddd",
        "iv_units",
        "loinc"
      ],
      "rows": 505,
      "table": true,
      "tojson": true
    },
    {
      "name": "antimicrobials",
      "title": "Data Sets with 625 Antimicrobial Drugs",
      "object": "antimicrobials",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "ab",
        "cid",
        "name",
        "group",
        "atc",
        "atc_group1",
        "atc_group2",
        "abbreviations",
        "synonyms",
        "oral_ddd",
        "oral_units",
        "iv_ddd",
        "iv_units",
        "loinc"
      ],
      "rows": 505,
      "table": true,
      "tojson": true
    },
    {
      "name": "antivirals",
      "title": "Data Sets with 625 Antimicrobial Drugs",
      "object": "antivirals",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "av",
        "name",
        "atc",
        "cid",
        "atc_group",
        "synonyms",
        "oral_ddd",
        "oral_units",
        "iv_ddd",
        "iv_units",
        "loinc"
      ],
      "rows": 120,
      "table": true,
      "tojson": true
    },
    {
      "name": "clinical_breakpoints",
      "title": "Data Set with Clinical Breakpoints for SIR Interpretation",
      "object": "clinical_breakpoints",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "guideline",
        "type",
        "host",
        "method",
        "site",
        "mo",
        "rank_index",
        "ab",
        "ref_tbl",
        "disk_dose",
        "breakpoint_S",
        "breakpoint_R",
        "uti",
        "is_SDD"
      ],
      "rows": 45730,
      "table": true,
      "tojson": true
    },
    {
      "name": "dosage",
      "title": "Data Set with Treatment Dosages as Defined by EUCAST",
      "object": "dosage",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "ab",
        "name",
        "type",
        "dose",
        "dose_times",
        "administration",
        "notes",
        "original_txt",
        "eucast_version"
      ],
      "rows": 759,
      "table": true,
      "tojson": true
    },
    {
      "name": "esbl_isolates",
      "title": "Data Set with 500 ESBL Isolates",
      "object": "esbl_isolates",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "esbl",
        "genus",
        "AMC",
        "AMP",
        "TZP",
        "CXM",
        "FOX",
        "CTX",
        "CAZ",
        "GEN",
        "TOB",
        "TMP",
        "SXT",
        "NIT",
        "FOS",
        "CIP",
        "IPM",
        "MEM",
        "COL"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_isolates",
      "title": "Data Set with 2 000 Example Isolates",
      "object": "example_isolates",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "date",
        "patient",
        "age",
        "gender",
        "ward",
        "mo",
        "PEN",
        "OXA",
        "FLC",
        "AMX",
        "AMC",
        "AMP",
        "TZP",
        "CZO",
        "FEP",
        "CXM",
        "FOX",
        "CTX",
        "CAZ",
        "CRO",
        "GEN",
        "TOB",
        "AMK",
        "KAN",
        "TMP",
        "SXT",
        "NIT",
        "FOS",
        "LNZ",
        "CIP",
        "MFX",
        "VAN",
        "TEC",
        "TCY",
        "TGC",
        "DOX",
        "ERY",
        "CLI",
        "AZM",
        "IPM",
        "MEM",
        "MTR",
        "CHL",
        "COL",
        "MUP",
        "RIF"
      ],
      "rows": 2000,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_isolates_unclean",
      "title": "Data Set with Unclean Data",
      "object": "example_isolates_unclean",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "patient_id",
        "hospital",
        "date",
        "bacteria",
        "AMX",
        "AMC",
        "CIP",
        "GEN"
      ],
      "rows": 3000,
      "table": true,
      "tojson": true
    },
    {
      "name": "intrinsic_resistant",
      "title": "Data Set Denoting Bacterial Intrinsic Resistance",
      "object": "intrinsic_resistant",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "mo",
        "ab"
      ],
      "rows": 285928,
      "table": true,
      "tojson": true
    },
    {
      "name": "microorganisms",
      "title": "Data Set with 78 679 Taxonomic Records of Microorganisms",
      "object": "microorganisms",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "mo",
        "fullname",
        "status",
        "kingdom",
        "phylum",
        "class",
        "order",
        "family",
        "genus",
        "species",
        "subspecies",
        "rank",
        "ref",
        "oxygen_tolerance",
        "source",
        "lpsn",
        "lpsn_parent",
        "lpsn_renamed_to",
        "mycobank",
        "mycobank_parent",
        "mycobank_renamed_to",
        "gbif",
        "gbif_parent",
        "gbif_renamed_to",
        "prevalence",
        "snomed"
      ],
      "rows": 78679,
      "table": true,
      "tojson": true
    },
    {
      "name": "microorganisms.codes",
      "title": "Data Set with 6 050 Common Microorganism Codes",
      "object": "microorganisms.codes",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "code",
        "mo"
      ],
      "rows": 6050,
      "table": true,
      "tojson": true
    },
    {
      "name": "microorganisms.groups",
      "title": "Data Set with 534 Microorganisms In Species Groups",
      "object": "microorganisms.groups",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "mo_group",
        "mo",
        "mo_group_name",
        "mo_name"
      ],
      "rows": 534,
      "table": true,
      "tojson": true
    },
    {
      "name": "WHONET",
      "title": "Data Set with 500 Isolates - WHONET Example",
      "object": "WHONET",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Identification number",
        "Specimen number",
        "Organism",
        "Country",
        "Laboratory",
        "Last name",
        "First name",
        "Sex",
        "Age",
        "Age category",
        "Date of admission",
        "Specimen date",
        "Specimen type",
        "Specimen type (Numeric)",
        "Reason",
        "Isolate number",
        "Organism type",
        "Serotype",
        "Beta-lactamase",
        "ESBL",
        "Carbapenemase",
        "MRSA screening test",
        "Inducible clindamycin resistance",
        "Comment",
        "Date of data entry",
        "AMP_ND10",
        "AMC_ED20",
        "TZP_ED30",
        "FEP_ED30",
        "CTX_ED5",
        "FOX_ED30",
        "CAZ_ED10",
        "CRO_ED30",
        "CIP_ED5",
        "AMK_ED30",
        "GEN_ED10",
        "TOB_ED10",
        "SXT_ED1.2",
        "IPM_ND10",
        "PEN_ND1",
        "AMP_ND2",
        "AMC_ND2",
        "CHL_ND30",
        "VAN_ED5",
        "OXA_ED1",
        "ERY_ED15",
        "CLI_ED2",
        "TCY_ED30",
        "RIF_ED5",
        "PEN_EE",
        "AMP_EE",
        "CRO_EE",
        "CIP_EE"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ab_from_text",
      "title": "Retrieve Antimicrobial Drug Names and Doses from Clinical Text",
      "topics": [
        "ab_from_text"
      ]
    },
    {
      "page": "ab_property",
      "title": "Get Properties of an Antibiotic",
      "topics": [
        "ab_atc",
        "ab_atc_group1",
        "ab_atc_group2",
        "ab_cid",
        "ab_ddd",
        "ab_ddd_units",
        "ab_group",
        "ab_info",
        "ab_loinc",
        "ab_name",
        "ab_property",
        "ab_synonyms",
        "ab_tradenames",
        "ab_url",
        "ATC",
        "set_ab_names"
      ]
    },
    {
      "page": "add_custom_antimicrobials",
      "title": "Add Custom Antimicrobials",
      "topics": [
        "add_custom_antimicrobials",
        "clear_custom_antimicrobials"
      ]
    },
    {
      "page": "add_custom_microorganisms",
      "title": "Add Custom Microorganisms",
      "topics": [
        "add_custom_microorganisms",
        "clear_custom_microorganisms"
      ]
    },
    {
      "page": "age",
      "title": "Age in Years of Individuals",
      "topics": [
        "age"
      ]
    },
    {
      "page": "age_groups",
      "title": "Split Ages into Age Groups",
      "topics": [
        "age_groups"
      ]
    },
    {
      "page": "amr_course",
      "title": "Download and Unpack an AMR Course Repository",
      "topics": [
        "amr_course"
      ]
    },
    {
      "page": "antibiogram",
      "title": "Generate Traditional, Combination, Syndromic, or WISCA Antibiograms",
      "topics": [
        "antibiogram",
        "autoplot.antibiogram",
        "knit_print.antibiogram",
        "plot.antibiogram",
        "retrieve_wisca_parameters",
        "wisca"
      ]
    },
    {
      "page": "antimicrobial_selectors",
      "title": "Antimicrobial Selectors",
      "topics": [
        "administrable_iv",
        "administrable_per_os",
        "aminoglycosides",
        "aminopenicillins",
        "amr_class",
        "amr_selector",
        "antifungals",
        "antimicrobial_selectors",
        "antimycobacterials",
        "betalactams",
        "betalactams_with_inhibitor",
        "carbapenems",
        "cephalosporins",
        "cephalosporins_1st",
        "cephalosporins_2nd",
        "cephalosporins_3rd",
        "cephalosporins_4th",
        "cephalosporins_5th",
        "fluoroquinolones",
        "glycopeptides",
        "ionophores",
        "isoxazolylpenicillins",
        "lincosamides",
        "lipoglycopeptides",
        "macrolides",
        "monobactams",
        "nitrofurans",
        "not_intrinsic_resistant",
        "oxazolidinones",
        "penicillins",
        "peptides",
        "phenicols",
        "phosphonics",
        "polymyxins",
        "quinolones",
        "rifamycins",
        "spiropyrimidinetriones",
        "streptogramins",
        "sulfonamides",
        "tetracyclines",
        "trimethoprims",
        "ureidopenicillins"
      ]
    },
    {
      "page": "antimicrobials",
      "title": "Data Sets with 625 Antimicrobial Drugs",
      "topics": [
        "antibiotics",
        "antimicrobials",
        "antivirals"
      ]
    },
    {
      "page": "as.ab",
      "title": "Transform Input to an Antibiotic ID",
      "topics": [
        "ab",
        "ab_reset_session",
        "as.ab",
        "is.ab",
        "NA_ab_"
      ]
    },
    {
      "page": "as.av",
      "title": "Transform Input to an Antiviral Drug ID",
      "topics": [
        "as.av",
        "av",
        "is.av"
      ]
    },
    {
      "page": "as.disk",
      "title": "Transform Input to Disk Diffusion Diameters",
      "topics": [
        "as.disk",
        "disk",
        "is.disk",
        "NA_disk_"
      ]
    },
    {
      "page": "as.mic",
      "title": "Transform Input to Minimum Inhibitory Concentrations (MIC)",
      "topics": [
        "as.mic",
        "droplevels.mic",
        "is.mic",
        "mic",
        "mic_p50",
        "mic_p90",
        "NA_mic_",
        "rescale_mic"
      ]
    },
    {
      "page": "as.mo",
      "title": "Transform Arbitrary Input to Valid Microbial Taxonomy",
      "topics": [
        "as.mo",
        "is.mo",
        "mo",
        "mo_cleaning_regex",
        "mo_failures",
        "mo_renamed",
        "mo_reset_session",
        "mo_uncertainties",
        "NA_mo_"
      ]
    },
    {
      "page": "as.sir",
      "title": "Interpret MIC and Disk Diffusion as SIR, or Clean Existing SIR Data",
      "topics": [
        "as.sir",
        "as.sir.data.frame",
        "as.sir.default",
        "as.sir.disk",
        "as.sir.mic",
        "is.sir",
        "is_sir_eligible",
        "NA_sir_",
        "sir",
        "sir_interpretation_history"
      ]
    },
    {
      "page": "atc_online",
      "title": "Get ATC Properties from WHOCC Website",
      "topics": [
        "atc_online_ddd",
        "atc_online_ddd_units",
        "atc_online_groups",
        "atc_online_property"
      ]
    },
    {
      "page": "av_from_text",
      "title": "Retrieve Antiviral Drug Names and Doses from Clinical Text",
      "topics": [
        "av_from_text"
      ]
    },
    {
      "page": "av_property",
      "title": "Get Properties of an Antiviral Drug",
      "topics": [
        "av_atc",
        "av_cid",
        "av_ddd",
        "av_ddd_units",
        "av_group",
        "av_info",
        "av_loinc",
        "av_name",
        "av_property",
        "av_synonyms",
        "av_tradenames",
        "av_url"
      ]
    },
    {
      "page": "availability",
      "title": "Check Availability of Columns",
      "topics": [
        "availability"
      ]
    },
    {
      "page": "bug_drug_combinations",
      "title": "Determine Bug-Drug Combinations",
      "topics": [
        "bug_drug_combinations",
        "format.bug_drug_combinations"
      ]
    },
    {
      "page": "clinical_breakpoints",
      "title": "Data Set with Clinical Breakpoints for SIR Interpretation",
      "topics": [
        "clinical_breakpoints"
      ]
    },
    {
      "page": "count",
      "title": "Count Available Isolates",
      "topics": [
        "count",
        "count_all",
        "count_df",
        "count_I",
        "count_IR",
        "count_R",
        "count_resistant",
        "count_S",
        "count_SI",
        "count_susceptible",
        "n_sir"
      ]
    },
    {
      "page": "custom_interpretive_rules",
      "title": "Define Custom Interpretive Rules",
      "topics": [
        "custom_interpretive_rules"
      ]
    },
    {
      "page": "custom_mdro_guideline",
      "title": "Define Custom MDRO Guideline",
      "topics": [
        "c.custom_mdro_guideline",
        "custom_mdro_guideline"
      ]
    },
    {
      "page": "dosage",
      "title": "Data Set with Treatment Dosages as Defined by EUCAST",
      "topics": [
        "dosage"
      ]
    },
    {
      "page": "esbl_isolates",
      "title": "Data Set with 500 ESBL Isolates",
      "topics": [
        "esbl_isolates"
      ]
    },
    {
      "page": "example_isolates",
      "title": "Data Set with 2 000 Example Isolates",
      "topics": [
        "example_isolates"
      ]
    },
    {
      "page": "example_isolates_unclean",
      "title": "Data Set with Unclean Data",
      "topics": [
        "example_isolates_unclean"
      ]
    },
    {
      "page": "first_isolate",
      "title": "Determine First Isolates",
      "topics": [
        "filter_first_isolate",
        "first_isolate"
      ]
    },
    {
      "page": "g.test",
      "title": "_G_-test for Count Data",
      "topics": [
        "g.test"
      ]
    },
    {
      "page": "get_episode",
      "title": "Determine Clinical or Epidemic Episodes",
      "topics": [
        "get_episode",
        "is_new_episode"
      ]
    },
    {
      "page": "ggplot_pca",
      "title": "PCA Biplot with 'ggplot2'",
      "topics": [
        "ggplot_pca"
      ]
    },
    {
      "page": "ggplot_sir",
      "title": "AMR Plots with 'ggplot2'",
      "topics": [
        "geom_sir",
        "ggplot_sir"
      ]
    },
    {
      "page": "guess_ab_col",
      "title": "Guess Antibiotic Column",
      "topics": [
        "guess_ab_col"
      ]
    },
    {
      "page": "interpretive_rules",
      "title": "Apply Interpretive Rules",
      "topics": [
        "clsi_rules",
        "EUCAST",
        "eucast_dosage",
        "eucast_rules",
        "interpretive_rules"
      ]
    },
    {
      "page": "intrinsic_resistant",
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