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< h1 > Data set for R/SI interpretation< / 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 > rsi_translation.Rd< / code > < / div >
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< p > Data set to interpret MIC and disk diffusion to R/SI values. Included guidelines are CLSI (2010-2019) and EUCAST (2011-2020). Use < code > < a href = 'as.rsi.html' > as.rsi()< / a > < / code > to transform MICs or disks measurements to R/SI values.< / p >
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< pre class = "usage" > < span class = 'kw' > rsi_translation< / 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 18,650 observations and 10 variables:< / p > < ul >
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< li > < p > < code > guideline< / code > < br / > Name of the guideline< / p > < / li >
< li > < p > < code > method< / code > < br / > Either "MIC" or "DISK"< / p > < / li >
< li > < p > < code > site< / code > < br / > Body site, e.g. "Oral" or "Respiratory"< / p > < / li >
< li > < p > < code > mo< / code > < br / > Microbial ID, see < code > < a href = 'as.mo.html' > as.mo()< / a > < / code > < / p > < / li >
< li > < p > < code > ab< / code > < br / > Antibiotic ID, see < code > < a href = 'as.ab.html' > as.ab()< / a > < / code > < / p > < / li >
< li > < p > < code > ref_tbl< / code > < br / > Info about where the guideline rule can be found< / p > < / li >
< li > < p > < code > disk_dose< / code > < br / > Dose of the used disk diffusion method< / p > < / li >
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< li > < p > < code > breakpoint_S< / code > < br / > Lowest MIC value or highest number of millimetres that leads to "S"< / p > < / li >
< li > < p > < code > breakpoint_R< / code > < br / > Highest MIC value or lowest number of millimetres that leads to "R"< / p > < / li >
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< li > < p > < code > uti< / code > < br / > A logical value (< code > TRUE< / code > /< code > FALSE< / code > ) to indicate whether the rule applies to a urinary tract infection (UTI)< / p > < / li >
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< / ul >
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< h2 class = "hasAnchor" id = "details" > < a class = "anchor" href = "#details" > < / a > Details< / h2 >
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< p > The repository of this < code > AMR< / code > package contains a file comprising this exact data set: < a href = 'https://github.com/msberends/AMR/blob/master/data-raw/rsi_translation.txt' > https://github.com/msberends/AMR/blob/master/data-raw/rsi_translation.txt< / a > . This file < strong > allows for machine reading EUCAST and CLSI guidelines< / strong > , which is almost impossible with the Excel and PDF files distributed by EUCAST and CLSI. The file is updated automatically.< / p >
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< h2 class = "hasAnchor" id = "reference-data-publicly-available" > < a class = "anchor" href = "#reference-data-publicly-available" > < / a > Reference data publicly available< / h2 >
< p > All reference data sets (about microorganisms, antibiotics, R/SI interpretation, EUCAST rules, etc.) in this < code > AMR< / code > package are publicly and freely available. We continually export our data sets to formats for use in R, SPSS, SAS, Stata and Excel. We also supply flat files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please find < a href = 'https://msberends.github.io/AMR/articles/datasets.html' > all download links on our website< / a > , which is automatically updated with every code change.< / 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.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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< h2 class = "hasAnchor" id = "see-also" > < a class = "anchor" href = "#see-also" > < / a > See also< / h2 >
< div class = 'dont-index' > < p > < a href = 'intrinsic_resistant.html' > intrinsic_resistant< / a > < / p > < / div >
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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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