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< h1 > Guess antibiotic column< / h1 >
< div class = "hidden name" > < code > guess_ab_col.Rd< / code > < / div >
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< p > This tries to find a column name in a data set based on information from the < a href = 'antibiotics.html' > antibiotics< / a > data set. Also supports WHONET abbreviations.< / p >
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< pre class = "usage" > < span class = 'fu' > guess_ab_col< / span > (< span class = 'kw' > x< / span > < span class = 'kw' > =< / span > < span class = 'kw' > NULL< / span > , < span class = 'kw' > search_string< / span > < span class = 'kw' > =< / span > < span class = 'kw' > NULL< / span > , < span class = 'kw' > verbose< / span > < span class = 'kw' > =< / span > < span class = 'fl' > FALSE< / span > )< / pre >
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< h2 class = "hasAnchor" id = "arguments" > < a class = "anchor" href = "#arguments" > < / a > Arguments< / h2 >
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< colgroup > < col class = "name" / > < col class = "desc" / > < / colgroup >
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< th > x< / th >
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< td > < p > a < code > < a href = 'https://rdrr.io/r/base/data.frame.html' > data.frame< / a > < / code > < / p > < / td >
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< / tr >
< tr >
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< th > search_string< / th >
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< td > < p > a text to search < code > x< / code > for, will be checked with < code > < a href = 'as.ab.html' > as.ab()< / a > < / code > if this value is not a column in < code > x< / code > < / p > < / td >
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< th > verbose< / th >
< td > < p > a logical to indicate whether additional info should be printed< / p > < / td >
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< h2 class = "hasAnchor" id = "value" > < a class = "anchor" href = "#value" > < / a > Value< / h2 >
< p > A column name of < code > x< / code > , or < code > NULL< / code > when no result is found.< / p >
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< h2 class = "hasAnchor" id = "details" > < a class = "anchor" href = "#details" > < / a > Details< / h2 >
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< p > You can look for an antibiotic (trade) name or abbreviation and it will search < code > x< / code > and the < a href = 'antibiotics.html' > antibiotics< / a > data set for any column containing a name or code of that antibiotic. < strong > Longer columns names take precendence over shorter column names.< / strong > < / p >
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< h2 class = "hasAnchor" id = "maturing-lifecycle" > < a class = "anchor" href = "#maturing-lifecycle" > < / a > Maturing lifecycle< / h2 >
< p > < img src = 'figures/lifecycle_maturing.svg' style = margin-bottom:5px / > < br / >
The < a href = 'lifecycle.html' > lifecycle< / a > of this function is < strong > maturing< / strong > . The unlying code of a maturing function has been roughed out, but finer details might still change. We will strive to maintain backward compatibility, but the function needs wider usage and more extensive testing in order to optimise the unlying code.< / p >
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< h2 class = "hasAnchor" id = "read-more-on-our-website-" > < a class = "anchor" href = "#read-more-on-our-website-" > < / a > Read more on our website!< / h2 >
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< p > On our website < a href = 'https://msberends.gitlab.io/AMR' > https://msberends.gitlab.io/AMR< / a > you can find < a href = 'https://msberends.gitlab.io/AMR/articles/AMR.html' > a tutorial< / a > about how to conduct AMR analysis, the < a href = 'https://msberends.gitlab.io/AMR/reference' > complete documentation of all functions< / a > (which reads a lot easier than here in R) and < a href = 'https://msberends.gitlab.io/AMR/articles/WHONET.html' > an example analysis using WHONET data< / a > .< / p >
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< h2 class = "hasAnchor" id = "examples" > < a class = "anchor" href = "#examples" > < / a > Examples< / h2 >
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< pre class = "examples" > < span class = 'no' > df< / span > < span class = 'kw' > < -< / span > < span class = 'fu' > < a href = 'https://rdrr.io/r/base/data.frame.html' > data.frame< / a > < / span > (< span class = 'kw' > amox< / span > < span class = 'kw' > =< / span > < span class = 'st' > "S"< / span > ,
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< span class = 'kw' > tetr< / span > < span class = 'kw' > =< / span > < span class = 'st' > "R"< / span > )
< span class = 'fu' > guess_ab_col< / span > (< span class = 'no' > df< / span > , < span class = 'st' > "amoxicillin"< / span > )
< span class = 'co' > # [1] "amox"< / span >
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< span class = 'fu' > guess_ab_col< / span > (< span class = 'no' > df< / span > , < span class = 'st' > "J01AA07"< / span > ) < span class = 'co' > # ATC code of tetracycline< / span >
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< span class = 'co' > # [1] "tetr"< / span >
< span class = 'fu' > guess_ab_col< / span > (< span class = 'no' > df< / span > , < span class = 'st' > "J01AA07"< / span > , < span class = 'kw' > verbose< / span > < span class = 'kw' > =< / span > < span class = 'fl' > TRUE< / span > )
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< span class = 'co' > # Note: Using column `tetr` as input for "J01AA07".< / span >
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< span class = 'co' > # [1] "tetr"< / span >
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< span class = 'co' > # WHONET codes< / span >
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< span class = 'no' > df< / span > < span class = 'kw' > < -< / span > < span class = 'fu' > < a href = 'https://rdrr.io/r/base/data.frame.html' > data.frame< / a > < / span > (< span class = 'kw' > AMP_ND10< / span > < span class = 'kw' > =< / span > < span class = 'st' > "R"< / span > ,
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< span class = 'kw' > AMC_ED20< / span > < span class = 'kw' > =< / span > < span class = 'st' > "S"< / span > )
< span class = 'fu' > guess_ab_col< / span > (< span class = 'no' > df< / span > , < span class = 'st' > "ampicillin"< / span > )
< span class = 'co' > # [1] "AMP_ND10"< / span >
< span class = 'fu' > guess_ab_col< / span > (< span class = 'no' > df< / span > , < span class = 'st' > "J01CR02"< / span > )
< span class = 'co' > # [1] "AMC_ED20"< / span >
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< span class = 'fu' > guess_ab_col< / span > (< span class = 'no' > df< / span > , < span class = 'fu' > < a href = 'as.ab.html' > as.ab< / a > < / span > (< span class = 'st' > "augmentin"< / span > ))
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< span class = 'co' > # [1] "AMC_ED20"< / span >
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< span class = 'co' > # Longer names take precendence:< / span >
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< span class = 'no' > df< / span > < span class = 'kw' > < -< / span > < span class = 'fu' > < a href = 'https://rdrr.io/r/base/data.frame.html' > data.frame< / a > < / span > (< span class = 'kw' > AMP_ED2< / span > < span class = 'kw' > =< / span > < span class = 'st' > "S"< / span > ,
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< span class = 'kw' > AMP_ED20< / span > < span class = 'kw' > =< / span > < span class = 'st' > "S"< / span > )
< span class = 'fu' > guess_ab_col< / span > (< span class = 'no' > df< / span > , < span class = 'st' > "ampicillin"< / span > )
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< span class = 'co' > # [1] "AMP_ED20"< / span > < / pre >
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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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