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< h1 > Data set with 2,000 example isolates< / h1 >
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< small class = "dont-index" > Source: < a href = 'https://github.com/msberends/AMR/blob/master/R/data.R' > < code > R/data.R< / code > < / a > < / small >
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< div class = "hidden name" > < code > example_isolates.Rd< / code > < / div >
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< p > A data set containing 2,000 microbial isolates with their full antibiograms. The data set reflects reality and can be used to practice AMR analysis. For examples, please read < a href = 'https://msberends.github.io/AMR/articles/AMR.html' > the tutorial on our website< / a > .< / p >
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< pre class = "usage" > < span class = 'kw' > example_isolates< / span > < / pre >
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< h2 class = "hasAnchor" id = "format" > < a class = "anchor" href = "#format" > < / a > Format< / h2 >
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< p > A < code > < a href = 'https://rdrr.io/r/base/data.frame.html' > data.frame< / a > < / code > with 2,000 observations and 49 variables:< / p > < ul >
< li > < p > < code > date< / code > < br / > date of receipt at the laboratory< / p > < / li >
< li > < p > < code > hospital_id< / code > < br / > ID of the hospital, from A to D< / p > < / li >
< li > < p > < code > ward_icu< / code > < br / > logical to determine if ward is an intensive care unit< / p > < / li >
< li > < p > < code > ward_clinical< / code > < br / > logical to determine if ward is a regular clinical ward< / p > < / li >
< li > < p > < code > ward_outpatient< / code > < br / > logical to determine if ward is an outpatient clinic< / p > < / li >
< li > < p > < code > age< / code > < br / > age of the patient< / p > < / li >
< li > < p > < code > gender< / code > < br / > gender of the patient< / p > < / li >
< li > < p > < code > patient_id< / code > < br / > ID of the patient< / p > < / li >
< li > < p > < code > mo< / code > < br / > ID of microorganism created with < code > < a href = 'as.mo.html' > as.mo()< / a > < / code > , see also < a href = 'microorganisms.html' > microorganisms< / a > < / p > < / li >
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< li > < p > < code > PEN:RIF< / code > < br / > 40 different antibiotics with class < code > < a href = 'as.rsi.html' > rsi< / a > < / code > (see < code > < a href = 'as.rsi.html' > as.rsi()< / a > < / code > ); these column names occur in the < a href = 'antibiotics.html' > antibiotics< / a > data set and can be translated with < code > < a href = 'ab_property.html' > ab_name()< / a > < / code > < / p > < / li >
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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.github.io/AMR' > https://msberends.github.io/AMR< / a > you can find < a href = 'https://msberends.github.io/AMR/articles/AMR.html' > a comprehensive tutorial< / a > about how to conduct AMR analysis, the < a href = 'https://msberends.github.io/AMR/reference' > complete documentation of all functions< / a > (which reads a lot easier than here in R) and < a href = 'https://msberends.github.io/AMR/articles/WHONET.html' > an example analysis using WHONET data< / a > . As we would like to better understand the backgrounds and needs of our users, please < a href = 'https://msberends.github.io/AMR/survey.html' > participate in our survey< / a > !< / p >
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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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