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< a class = "navbar-link" href = "../index.html" > AMR (for R)< / a >
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< span class = "version label label-default" data-toggle = "tooltip" data-placement = "bottom" title = "Latest development version" > 1.5.0.9010< / span >
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Conduct AMR analysis
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Predict antimicrobial resistance
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Data sets for download / own use
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Conduct principal component analysis for AMR
< / a >
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< a href = "../articles/MDR.html" >
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Determine multi-drug resistance (MDR)
< / a >
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Work with WHONET data
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Import data from SPSS/SAS/Stata
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< a href = "../articles/EUCAST.html" >
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Apply EUCAST rules
< / a >
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< a href = "../reference/mo_property.html" >
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< span class = "fas fa-bug" > < / span >
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Get properties of a microorganism
< / a >
< / li >
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< a href = "../reference/ab_property.html" >
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< span class = "fas fa-capsules" > < / span >
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Get properties of an antibiotic
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Other: benchmarks
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Manual
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Authors
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Changelog
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Source Code
< / a >
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Survey
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< / header >
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< h1 > Reference< / h1 >
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< colgroup >
< col class = "alias" / >
< col class = "title" / >
< / colgroup >
< tbody >
< tr >
< th colspan = "2" >
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< h2 id = "section-background-information-on-included-data" class = "hasAnchor" > < a href = "#section-background-information-on-included-data" class = "anchor" > < / a > Background information on included data< / h2 >
< p class = "section-desc" > < p > Some pages about our package and its external sources. Be sure to read our < a href = "./../articles/index.html" > How To’ < / a > for more information about how to work with functions in this package.< / p > < / p >
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< / th >
< / tr >
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< / tbody > < tbody >
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< tr >
< td >
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< p > < code > < a href = "AMR.html" > AMR< / a > < / code > < / p >
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< / td >
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< td > < p > The < code > AMR< / code > Package< / p > < / td >
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< / tr > < tr >
< td >
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< p > < code > < a href = "example_isolates.html" > example_isolates< / a > < / code > < / p >
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< / td >
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< td > < p > Data Set with 2,000 Example Isolates< / p > < / td >
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< / tr > < tr >
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< td >
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< p > < code > < a href = "microorganisms.html" > microorganisms< / a > < / code > < / p >
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< / td >
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< td > < p > Data Set with 67,151 Microorganisms< / p > < / td >
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< / tr > < tr >
< td >
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< p > < code > < a href = "microorganisms.codes.html" > microorganisms.codes< / a > < / code > < / p >
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< / td >
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< td > < p > Data Set with 5,580 Common Microorganism Codes< / p > < / td >
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< / tr > < tr >
< td >
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< p > < code > < a href = "microorganisms.old.html" > microorganisms.old< / a > < / code > < / p >
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< / td >
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< td > < p > Data Set with Previously Accepted Taxonomic Names< / p > < / td >
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< / tr > < tr >
< td >
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< p > < code > < a href = "antibiotics.html" > antibiotics< / a > < / code > < code > < a href = "antibiotics.html" > antivirals< / a > < / code > < / p >
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< / td >
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< td > < p > Data Sets with 558 Antimicrobials< / p > < / td >
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< / tr > < tr >
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< td >
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< p > < code > < a href = "intrinsic_resistant.html" > intrinsic_resistant< / a > < / code > < / p >
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< / td >
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< td > < p > Data Set with Bacterial Intrinsic Resistance< / p > < / td >
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< / tr > < tr >
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< td >
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< p > < code > < a href = "dosage.html" > dosage< / a > < / code > < / p >
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< / td >
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< td > < p > Data Set with Treatment Dosages as Defined by EUCAST< / p > < / td >
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< / tr > < tr >
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< td >
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< p > < code > < a href = "catalogue_of_life.html" > catalogue_of_life< / a > < / code > < / p >
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< / td >
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< td > < p > The Catalogue of Life< / p > < / td >
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< / tr > < tr >
< td >
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< p > < code > < a href = "catalogue_of_life_version.html" > catalogue_of_life_version()< / a > < / code > < / p >
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< / td >
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< td > < p > Version info of included Catalogue of Life< / p > < / td >
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< / tr > < tr >
< td >
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< p > < code > < a href = "WHOCC.html" > WHOCC< / a > < / code > < / p >
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< / td >
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< td > < p > WHOCC: WHO Collaborating Centre for Drug Statistics Methodology< / p > < / td >
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< / tr > < tr >
< td >
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< p > < code > < a href = "lifecycle.html" > lifecycle< / a > < / code > < / p >
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< / td >
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< td > < p > Lifecycles of Functions in the < code > amr< / code > Package< / p > < / td >
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< / tr > < tr >
< td >
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< p > < code > < a href = "example_isolates_unclean.html" > example_isolates_unclean< / a > < / code > < / p >
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< / td >
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< td > < p > Data Set with Unclean Data< / p > < / td >
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< / tr > < tr >
< td >
< p > < code > < a href = "rsi_translation.html" > rsi_translation< / a > < / code > < / p >
< / td >
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< td > < p > Data Set for R/SI Interpretation< / p > < / td >
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< / tr > < tr >
< td >
< p > < code > < a href = "WHONET.html" > WHONET< / a > < / code > < / p >
< / td >
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< td > < p > Data Set with 500 Isolates - WHONET Example< / p > < / td >
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< / tr >
< / tbody > < tbody >
< tr >
< th colspan = "2" >
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< h2 id = "section-preparing-data-microorganisms" class = "hasAnchor" > < a href = "#section-preparing-data-microorganisms" class = "anchor" > < / a > Preparing data: microorganisms< / h2 >
< p class = "section-desc" > < p > These functions are meant to get taxonomically valid properties of microorganisms from any input. Use < code > < a href = "../reference/mo_source.html" > mo_source()< / a > < / code > to teach this package how to translate your own codes to valid microorganism codes.< / p > < / p >
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< / th >
< / tr >
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< / tbody > < tbody >
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< tr >
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< td >
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< p > < code > < a href = "as.mo.html" > as.mo()< / a > < / code > < code > < a href = "as.mo.html" > is.mo()< / a > < / code > < code > < a href = "as.mo.html" > mo_failures()< / a > < / code > < code > < a href = "as.mo.html" > mo_uncertainties()< / a > < / code > < code > < a href = "as.mo.html" > mo_renamed()< / a > < / code > < / p >
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< / td >
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< td > < p > Transform Input to a Microorganism ID< / p > < / td >
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< / tr > < tr >
< td >
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< p > < code > < a href = "mo_property.html" > mo_name()< / a > < / code > < code > < a href = "mo_property.html" > mo_fullname()< / a > < / code > < code > < a href = "mo_property.html" > mo_shortname()< / a > < / code > < code > < a href = "mo_property.html" > mo_subspecies()< / a > < / code > < code > < a href = "mo_property.html" > mo_species()< / a > < / code > < code > < a href = "mo_property.html" > mo_genus()< / a > < / code > < code > < a href = "mo_property.html" > mo_family()< / a > < / code > < code > < a href = "mo_property.html" > mo_order()< / a > < / code > < code > < a href = "mo_property.html" > mo_class()< / a > < / code > < code > < a href = "mo_property.html" > mo_phylum()< / a > < / code > < code > < a href = "mo_property.html" > mo_kingdom()< / a > < / code > < code > < a href = "mo_property.html" > mo_domain()< / a > < / code > < code > < a href = "mo_property.html" > mo_type()< / a > < / code > < code > < a href = "mo_property.html" > mo_gramstain()< / a > < / code > < code > < a href = "mo_property.html" > mo_is_gram_negative()< / a > < / code > < code > < a href = "mo_property.html" > mo_is_gram_positive()< / a > < / code > < code > < a href = "mo_property.html" > mo_is_yeast()< / a > < / code > < code > < a href = "mo_property.html" > mo_is_intrinsic_resistant()< / a > < / code > < code > < a href = "mo_property.html" > mo_snomed()< / a > < / code > < code > < a href = "mo_property.html" > mo_ref()< / a > < / code > < code > < a href = "mo_property.html" > mo_authors()< / a > < / code > < code > < a href = "mo_property.html" > mo_year()< / a > < / code > < code > < a href = "mo_property.html" > mo_rank()< / a > < / code > < code > < a href = "mo_property.html" > mo_taxonomy()< / a > < / code > < code > < a href = "mo_property.html" > mo_synonyms()< / a > < / code > < code > < a href = "mo_property.html" > mo_info()< / a > < / code > < code > < a href = "mo_property.html" > mo_url()< / a > < / code > < code > < a href = "mo_property.html" > mo_property()< / a > < / code > < / p >
2018-12-23 21:26:21 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Get Properties of a Microorganism< / p > < / td >
2018-12-23 21:26:21 +01:00
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< td >
2020-09-03 12:31:48 +02:00
< p > < code > < a href = "mo_source.html" > set_mo_source()< / a > < / code > < code > < a href = "mo_source.html" > get_mo_source()< / a > < / code > < / p >
2018-12-23 21:26:21 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > User-Defined Reference Data Set for Microorganisms< / p > < / td >
2020-09-03 12:31:48 +02:00
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< / tbody > < tbody >
< tr >
< th colspan = "2" >
< h2 id = "section-preparing-data-antibiotics" class = "hasAnchor" > < a href = "#section-preparing-data-antibiotics" class = "anchor" > < / a > Preparing data: antibiotics< / h2 >
< p class = "section-desc" > < p > Use these functions to get valid properties of antibiotics from any input or to clean your input. You can even retrieve drug names and doses from clinical text records, using < code > < a href = "../reference/ab_from_text.html" > ab_from_text()< / a > < / code > .< / p > < / p >
< / th >
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< / tbody > < tbody >
< tr >
2018-12-23 21:26:21 +01:00
< td >
2020-09-03 12:31:48 +02:00
< p > < code > < a href = "as.ab.html" > as.ab()< / a > < / code > < code > < a href = "as.ab.html" > is.ab()< / a > < / code > < / p >
2018-12-23 21:26:21 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Transform Input to an Antibiotic ID< / p > < / td >
2018-12-23 21:26:21 +01:00
< / tr > < tr >
< td >
2020-09-03 12:31:48 +02:00
< p > < code > < a href = "ab_property.html" > ab_name()< / a > < / code > < code > < a href = "ab_property.html" > ab_atc()< / a > < / code > < code > < a href = "ab_property.html" > ab_cid()< / a > < / code > < code > < a href = "ab_property.html" > ab_synonyms()< / a > < / code > < code > < a href = "ab_property.html" > ab_tradenames()< / a > < / code > < code > < a href = "ab_property.html" > ab_group()< / a > < / code > < code > < a href = "ab_property.html" > ab_atc_group1()< / a > < / code > < code > < a href = "ab_property.html" > ab_atc_group2()< / a > < / code > < code > < a href = "ab_property.html" > ab_loinc()< / a > < / code > < code > < a href = "ab_property.html" > ab_ddd()< / a > < / code > < code > < a href = "ab_property.html" > ab_info()< / a > < / code > < code > < a href = "ab_property.html" > ab_url()< / a > < / code > < code > < a href = "ab_property.html" > ab_property()< / a > < / code > < / p >
2018-12-23 21:26:21 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Get Properties of an Antibiotic< / p > < / td >
2018-12-23 21:26:21 +01:00
< / tr > < tr >
< td >
2020-09-03 12:31:48 +02:00
< p > < code > < a href = "ab_from_text.html" > ab_from_text()< / a > < / code > < / p >
2018-12-23 21:26:21 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Retrieve Antimicrobial Drug Names and Doses from Clinical Text< / p > < / td >
2018-12-23 21:26:21 +01:00
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< td >
2020-09-03 12:31:48 +02:00
< p > < code > < a href = "atc_online.html" > atc_online_property()< / a > < / code > < code > < a href = "atc_online.html" > atc_online_groups()< / a > < / code > < code > < a href = "atc_online.html" > atc_online_ddd()< / a > < / code > < / p >
2018-12-23 21:26:21 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Get ATC Properties from WHOCC Website< / p > < / td >
2020-09-03 12:31:48 +02:00
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< / tbody > < tbody >
< tr >
< th colspan = "2" >
< h2 id = "section-preparing-data-antimicrobial-resistance" class = "hasAnchor" > < a href = "#section-preparing-data-antimicrobial-resistance" class = "anchor" > < / a > Preparing data: antimicrobial resistance< / h2 >
2020-10-08 11:16:03 +02:00
< p class = "section-desc" > < p > With < code > < a href = "../reference/as.mic.html" > as.mic()< / a > < / code > and < code > < a href = "../reference/as.disk.html" > as.disk()< / a > < / code > you can transform your raw input to valid MIC or disk diffusion values. Use < code > < a href = "../reference/as.rsi.html" > as.rsi()< / a > < / code > for cleaning raw data to let it only contain “R”, “I” and “S”, or to interpret MIC or disk diffusion values as R/SI based on the lastest EUCAST and CLSI guidelines. Afterwards, you can extend antibiotic interpretations by applying < a href = "https://www.eucast.org/expert_rules_and_intrinsic_resistance/" > EUCAST rules< / a > with < code > < a href = "../reference/eucast_rules.html" > eucast_rules()< / a > < / code > .< / p > < / p >
2020-09-03 12:31:48 +02:00
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< p > < code > < a href = "as.rsi.html" > as.rsi()< / a > < / code > < code > < a href = "as.rsi.html" > is.rsi()< / a > < / code > < code > < a href = "as.rsi.html" > is.rsi.eligible()< / a > < / code > < / p >
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Interpret MIC and Disk Values, or Clean Raw R/SI Data< / p > < / td >
2018-12-23 21:26:21 +01:00
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2020-09-03 12:31:48 +02:00
< p > < code > < a href = "as.mic.html" > as.mic()< / a > < / code > < code > < a href = "as.mic.html" > is.mic()< / a > < / code > < / p >
2018-12-23 21:26:21 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Transform Input to Minimum Inhibitory Concentrations (MIC)< / p > < / td >
2018-12-23 21:26:21 +01:00
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< td >
2020-09-03 12:31:48 +02:00
< p > < code > < a href = "as.disk.html" > as.disk()< / a > < / code > < code > < a href = "as.disk.html" > is.disk()< / a > < / code > < / p >
2018-12-23 21:26:21 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Transform Input to Disk Diffusion Diameters< / p > < / td >
2019-05-10 16:44:59 +02:00
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< td >
2021-01-12 22:08:04 +01:00
< p > < code > < a href = "eucast_rules.html" > eucast_rules()< / a > < / code > < code > < a href = "eucast_rules.html" > eucast_dosage()< / a > < / code > < / p >
2019-05-10 16:44:59 +02:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Apply EUCAST Rules< / p > < / td >
2020-09-12 08:49:01 +02:00
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< td >
2020-12-12 23:17:29 +01:00
< p > < code > < a href = "plot.html" > plot(< i > < disk> < / i > )< / a > < / code > < code > < a href = "plot.html" > plot(< i > < mic> < / i > )< / a > < / code > < code > < a href = "plot.html" > barplot(< i > < mic> < / i > )< / a > < / code > < code > < a href = "plot.html" > plot(< i > < rsi> < / i > )< / a > < / code > < code > < a href = "plot.html" > barplot(< i > < rsi> < / i > )< / a > < / code > < / p >
2020-09-12 08:49:01 +02:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Plotting for Classes < code > rsi< / code > , < code > mic< / code > and < code > disk< / code > < / p > < / td >
2021-01-12 22:08:04 +01:00
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< td >
2021-01-22 10:20:41 +01:00
< p > < code > < a href = "isolate_identifier.html" > isolate_identifier()< / a > < / code > < code > < a href = "isolate_identifier.html" > all.equal(< i > < isolate_identifier> < / i > )< / a > < / code > < / p >
2021-01-12 22:08:04 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Create Identifier of an Isolate< / p > < / td >
2018-12-29 22:24:19 +01:00
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< / tbody > < tbody >
< tr >
< th colspan = "2" >
2020-09-03 12:31:48 +02:00
< h2 id = "section-analysing-data-antimicrobial-resistance" class = "hasAnchor" > < a href = "#section-analysing-data-antimicrobial-resistance" class = "anchor" > < / a > Analysing data: antimicrobial resistance< / h2 >
2020-12-27 00:07:00 +01:00
< p class = "section-desc" > < p > Use these function for the analysis part. You can use < code > < a href = "../reference/proportion.html" > susceptibility()< / a > < / code > or < code > < a href = "../reference/proportion.html" > resistance()< / a > < / code > on any antibiotic column. Be sure to first select the isolates that are appropiate for analysis, by using < code > < a href = "../reference/first_isolate.html" > first_isolate()< / a > < / code > or < code > < a href = "../reference/get_episode.html" > is_new_episode()< / a > < / code > . You can also filter your data on certain resistance in certain antibiotic classes (< code > < a href = "../reference/filter_ab_class.html" > filter_ab_class()< / a > < / code > ), or determine multi-drug resistant microorganisms (MDRO, < code > < a href = "../reference/mdro.html" > mdro()< / a > < / code > ).< / p > < / p >
2018-12-29 22:24:19 +01:00
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< / tr >
2020-04-13 21:09:56 +02:00
< / tbody > < tbody >
2018-12-29 22:24:19 +01:00
< tr >
2018-12-23 21:26:21 +01:00
2020-03-07 21:48:21 +01:00
< td >
< p > < code > < a href = "proportion.html" > resistance()< / a > < / code > < code > < a href = "proportion.html" > susceptibility()< / a > < / code > < code > < a href = "proportion.html" > proportion_R()< / a > < / code > < code > < a href = "proportion.html" > proportion_IR()< / a > < / code > < code > < a href = "proportion.html" > proportion_I()< / a > < / code > < code > < a href = "proportion.html" > proportion_SI()< / a > < / code > < code > < a href = "proportion.html" > proportion_S()< / a > < / code > < code > < a href = "proportion.html" > proportion_df()< / a > < / code > < code > < a href = "proportion.html" > rsi_df()< / a > < / code > < / p >
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Calculate Microbial Resistance< / p > < / td >
2020-03-07 21:48:21 +01:00
< / tr > < tr >
< td >
< p > < code > < a href = "count.html" > count_resistant()< / a > < / code > < code > < a href = "count.html" > count_susceptible()< / a > < / code > < code > < a href = "count.html" > count_R()< / a > < / code > < code > < a href = "count.html" > count_IR()< / a > < / code > < code > < a href = "count.html" > count_I()< / a > < / code > < code > < a href = "count.html" > count_SI()< / a > < / code > < code > < a href = "count.html" > count_S()< / a > < / code > < code > < a href = "count.html" > count_all()< / a > < / code > < code > < a href = "count.html" > n_rsi()< / a > < / code > < code > < a href = "count.html" > count_df()< / a > < / code > < / p >
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Count Available Isolates< / p > < / td >
2020-03-07 21:48:21 +01:00
< / tr > < tr >
2019-02-08 16:06:54 +01:00
< td >
2020-12-27 00:07:00 +01:00
< p > < code > < a href = "get_episode.html" > get_episode()< / a > < / code > < code > < a href = "get_episode.html" > is_new_episode()< / a > < / code > < / p >
2020-11-23 21:50:27 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Determine (New) Episodes for Patients< / p > < / td >
2020-11-23 21:50:27 +01:00
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< td >
< p > < code > < a href = "first_isolate.html" > first_isolate()< / a > < / code > < code > < a href = "first_isolate.html" > filter_first_isolate()< / a > < / code > < code > < a href = "first_isolate.html" > filter_first_weighted_isolate()< / a > < / code > < / p >
2018-12-23 21:26:21 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Determine First (Weighted) Isolates< / p > < / td >
2020-03-07 21:48:21 +01:00
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< td >
2020-09-03 12:31:48 +02:00
< p > < code > < a href = "key_antibiotics.html" > key_antibiotics()< / a > < / code > < code > < a href = "key_antibiotics.html" > key_antibiotics_equal()< / a > < / code > < / p >
2020-03-07 21:48:21 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Key Antibiotics for First (Weighted) Isolates< / p > < / td >
2018-12-23 21:26:21 +01:00
< / tr > < tr >
2020-06-17 15:14:37 +02:00
< td >
2021-01-17 00:26:48 +01:00
< p > < code > < a href = "mdro.html" > mdro()< / a > < / code > < code > < a href = "mdro.html" > custom_mdro_guideline()< / a > < / code > < code > < a href = "mdro.html" > brmo()< / a > < / code > < code > < a href = "mdro.html" > mrgn()< / a > < / code > < code > < a href = "mdro.html" > mdr_tb()< / a > < / code > < code > < a href = "mdro.html" > mdr_cmi2012()< / a > < / code > < code > < a href = "mdro.html" > eucast_exceptional_phenotypes()< / a > < / code > < / p >
2020-06-17 15:14:37 +02:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Determine Multidrug-Resistant Organisms (MDRO)< / p > < / td >
2020-06-17 15:14:37 +02:00
< / tr > < tr >
2019-03-06 14:39:02 +01:00
< td >
2020-09-03 12:31:48 +02:00
< p > < code > < a href = "ggplot_rsi.html" > ggplot_rsi()< / a > < / code > < code > < a href = "ggplot_rsi.html" > geom_rsi()< / a > < / code > < code > < a href = "ggplot_rsi.html" > facet_rsi()< / a > < / code > < code > < a href = "ggplot_rsi.html" > scale_y_percent()< / a > < / code > < code > < a href = "ggplot_rsi.html" > scale_rsi_colours()< / a > < / code > < code > < a href = "ggplot_rsi.html" > theme_rsi()< / a > < / code > < code > < a href = "ggplot_rsi.html" > labels_rsi_count()< / a > < / code > < / p >
2019-03-06 14:39:02 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > AMR Plots with < code > ggplot2< / code > < / p > < / td >
2019-03-06 14:39:02 +01:00
< / tr > < tr >
2018-12-23 21:26:21 +01:00
< td >
2020-09-03 12:31:48 +02:00
< p > < code > < a href = "bug_drug_combinations.html" > bug_drug_combinations()< / a > < / code > < code > < a href = "bug_drug_combinations.html" > format(< i > < bug_drug_combinations> < / i > )< / a > < / code > < / p >
2018-12-23 21:26:21 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Determine Bug-Drug Combinations< / p > < / td >
2018-12-23 21:26:21 +01:00
< / tr > < tr >
< td >
2020-09-03 12:31:48 +02:00
< p > < code > < a href = "antibiotic_class_selectors.html" > ab_class()< / a > < / code > < code > < a href = "antibiotic_class_selectors.html" > aminoglycosides()< / a > < / code > < code > < a href = "antibiotic_class_selectors.html" > carbapenems()< / a > < / code > < code > < a href = "antibiotic_class_selectors.html" > cephalosporins()< / a > < / code > < code > < a href = "antibiotic_class_selectors.html" > cephalosporins_1st()< / a > < / code > < code > < a href = "antibiotic_class_selectors.html" > cephalosporins_2nd()< / a > < / code > < code > < a href = "antibiotic_class_selectors.html" > cephalosporins_3rd()< / a > < / code > < code > < a href = "antibiotic_class_selectors.html" > cephalosporins_4th()< / a > < / code > < code > < a href = "antibiotic_class_selectors.html" > cephalosporins_5th()< / a > < / code > < code > < a href = "antibiotic_class_selectors.html" > fluoroquinolones()< / a > < / code > < code > < a href = "antibiotic_class_selectors.html" > glycopeptides()< / a > < / code > < code > < a href = "antibiotic_class_selectors.html" > macrolides()< / a > < / code > < code > < a href = "antibiotic_class_selectors.html" > penicillins()< / a > < / code > < code > < a href = "antibiotic_class_selectors.html" > tetracyclines()< / a > < / code > < / p >
2018-12-23 21:26:21 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Antibiotic Class Selectors< / p > < / td >
2018-12-23 21:26:21 +01:00
< / tr > < tr >
< td >
2020-09-03 12:31:48 +02:00
< p > < code > < a href = "filter_ab_class.html" > filter_ab_class()< / a > < / code > < code > < a href = "filter_ab_class.html" > filter_aminoglycosides()< / a > < / code > < code > < a href = "filter_ab_class.html" > filter_carbapenems()< / a > < / code > < code > < a href = "filter_ab_class.html" > filter_cephalosporins()< / a > < / code > < code > < a href = "filter_ab_class.html" > filter_1st_cephalosporins()< / a > < / code > < code > < a href = "filter_ab_class.html" > filter_2nd_cephalosporins()< / a > < / code > < code > < a href = "filter_ab_class.html" > filter_3rd_cephalosporins()< / a > < / code > < code > < a href = "filter_ab_class.html" > filter_4th_cephalosporins()< / a > < / code > < code > < a href = "filter_ab_class.html" > filter_5th_cephalosporins()< / a > < / code > < code > < a href = "filter_ab_class.html" > filter_fluoroquinolones()< / a > < / code > < code > < a href = "filter_ab_class.html" > filter_glycopeptides()< / a > < / code > < code > < a href = "filter_ab_class.html" > filter_macrolides()< / a > < / code > < code > < a href = "filter_ab_class.html" > filter_penicillins()< / a > < / code > < code > < a href = "filter_ab_class.html" > filter_tetracyclines()< / a > < / code > < / p >
2019-11-18 12:10:47 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Filter Isolates on Result in Antimicrobial Class< / p > < / td >
2019-11-18 12:10:47 +01:00
< / tr > < tr >
2018-12-23 21:26:21 +01:00
< td >
2020-09-03 12:31:48 +02:00
< p > < code > < a href = "resistance_predict.html" > resistance_predict()< / a > < / code > < code > < a href = "resistance_predict.html" > rsi_predict()< / a > < / code > < code > < a href = "resistance_predict.html" > plot(< i > < resistance_predict> < / i > )< / a > < / code > < code > < a href = "resistance_predict.html" > ggplot_rsi_predict()< / a > < / code > < / p >
2018-12-23 21:26:21 +01:00
< / td >
2020-09-03 12:31:48 +02:00
< td > < p > Predict antimicrobial resistance< / p > < / td >
2018-12-23 21:26:21 +01:00
< / tr > < tr >
< td >
2020-09-03 12:31:48 +02:00
< p > < code > < a href = "guess_ab_col.html" > guess_ab_col()< / a > < / code > < / p >
2018-12-23 21:26:21 +01:00
< / td >
2021-01-18 16:57:56 +01:00
< td > < p > Guess Antibiotic Column< / p > < / td >
2018-12-29 22:24:19 +01:00
< / tr >
< / tbody > < tbody >
< tr >
< th colspan = "2" >
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< h2 id = "section-other-miscellaneous-functions" class = "hasAnchor" > < a href = "#section-other-miscellaneous-functions" class = "anchor" > < / a > Other: miscellaneous functions< / h2 >
< p class = "section-desc" > < p > These functions are mostly for internal use, but some of them may also be suitable for your analysis. Especially the ‘ ’ < code > if (x %like% y) {...}< / code > .< / p > < / p >
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< / th >
< / tr >
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< / tbody > < tbody >
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< tr >
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< td >
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< p > < code > < a href = "age_groups.html" > age_groups()< / a > < / code > < / p >
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< / td >
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< td > < p > Split Ages into Age Groups< / p > < / td >
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< / tr > < tr >
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< td >
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< p > < code > < a href = "age.html" > age()< / a > < / code > < / p >
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< / td >
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< td > < p > Age in Years of Individuals< / p > < / td >
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< / tr > < tr >
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< td >
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< p > < code > < a href = "availability.html" > availability()< / a > < / code > < / p >
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< / td >
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< td > < p > Check Availability of Columns< / p > < / td >
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< / tr > < tr >
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< td >
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< p > < code > < a href = "translate.html" > get_locale()< / a > < / code > < / p >
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< / td >
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< td > < p > Translate Strings from AMR Package< / p > < / td >
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< / tr > < tr >
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< td >
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< p > < code > < a href = "ggplot_pca.html" > ggplot_pca()< / a > < / code > < / p >
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< / td >
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< td > < p > PCA Biplot with < code > ggplot2< / code > < / p > < / td >
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< / tr > < tr >
< td >
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< p > < code > < a href = "join.html" > inner_join_microorganisms()< / a > < / code > < code > < a href = "join.html" > left_join_microorganisms()< / a > < / code > < code > < a href = "join.html" > right_join_microorganisms()< / a > < / code > < code > < a href = "join.html" > full_join_microorganisms()< / a > < / code > < code > < a href = "join.html" > semi_join_microorganisms()< / a > < / code > < code > < a href = "join.html" > anti_join_microorganisms()< / a > < / code > < / p >
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< / td >
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< td > < p > Join microorganisms to a Data Set< / p > < / td >
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< / tr > < tr >
< td >
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< p > < code > < a href = "like.html" > like()< / a > < / code > < code > < a href = "like.html" > `%like%`< / a > < / code > < code > < a href = "like.html" > `%like_case%`< / a > < / code > < / p >
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< / td >
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< td > < p > Pattern Matching with Keyboard Shortcut< / p > < / td >
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< / tr > < tr >
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< td >
< p > < code > < a href = "mo_matching_score.html" > mo_matching_score()< / a > < / code > < / p >
< / td >
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< td > < p > Calculate the Matching Score for Microorganisms< / p > < / td >
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< / tr > < tr >
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< td >
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< p > < code > < a href = "pca.html" > pca()< / a > < / code > < / p >
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< / td >
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< td > < p > Principal Component Analysis (for AMR)< / p > < / td >
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< / tr > < tr >
< td >
< p > < code > < a href = "random.html" > random_mic()< / a > < / code > < code > < a href = "random.html" > random_disk()< / a > < / code > < code > < a href = "random.html" > random_rsi()< / a > < / code > < / p >
< / td >
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< td > < p > Random MIC Values/Disk Zones/RSI Generation< / p > < / td >
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< / tr >
< / tbody > < tbody >
< tr >
< th colspan = "2" >
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< h2 id = "section-other-statistical-tests" class = "hasAnchor" > < a href = "#section-other-statistical-tests" class = "anchor" > < / a > Other: statistical tests< / h2 >
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< p class = "section-desc" > < p > Some statistical tests or methods are not part of base R and were added to this package for convenience.< / p > < / p >
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< / th >
< / tr >
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< / tbody > < tbody >
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< tr >
< td >
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< p > < code > < a href = "g.test.html" > g.test()< / a > < / code > < / p >
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< / td >
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< td > < p > < em > G< / em > -test for Count Data< / p > < / td >
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< / tr > < tr >
< td >
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< p > < code > < a href = "kurtosis.html" > kurtosis()< / a > < / code > < / p >
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< / td >
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< td > < p > Kurtosis of the Sample< / p > < / td >
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< / tr > < tr >
< td >
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< p > < code > < a href = "skewness.html" > skewness()< / a > < / code > < / p >
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< / td >
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< td > < p > Skewness of the Sample< / p > < / td >
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< / tr >
< / tbody > < tbody >
< tr >
< th colspan = "2" >
< h2 id = "section-other-deprecated-functions" class = "hasAnchor" > < a href = "#section-other-deprecated-functions" class = "anchor" > < / a > Other: deprecated functions< / h2 >
< p class = "section-desc" > < p > These functions are deprecated, meaning that they will still work but show a warning with every use and will be removed in a future version.< / p > < / p >
< / th >
< / tr >
< / tbody > < tbody >
< tr >
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< td >
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< p > < code > < a href = "AMR-deprecated.html" > p_symbol()< / a > < / code > < / p >
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< / td >
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< td > < p > Deprecated Functions< / p > < / td >
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< / tr >
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< / tbody >
< / table >
< / div >
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< div class = "col-md-3 hidden-xs hidden-sm" id = "pkgdown-sidebar" >
< nav id = "toc" data-toggle = "toc" class = "sticky-top" >
< h2 data-toc-skip > Contents< / h2 >
< / nav >
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< div class = "copyright" >
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< p > Developed by < a href = 'https://www.rug.nl/staff/m.s.berends/' > Matthijs S. Berends< / a > , < a href = 'https://www.rug.nl/staff/c.f.luz/' > Christian F. Luz< / a > , < a href = 'https://www.rug.nl/staff/a.w.friedrich/' > Alexander W. Friedrich< / a > , < a href = 'https://www.rug.nl/staff/b.sinha/' > Bhanu N. M. Sinha< / a > , < a href = 'https://www.rug.nl/staff/c.j.albers/' > Casper J. Albers< / a > , < a href = 'https://www.rug.nl/staff/c.glasner/' > Corinna Glasner< / a > .< / p >
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< div class = "pkgdown" >
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< p > Site built with < a href = "https://pkgdown.r-lib.org/" > pkgdown< / a > 1.6.1.< / p >
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