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< h1 > Class 'mic'< / h1 >
< div class = "hidden name" > < code > as.mic.Rd< / code > < / div >
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< p > This transforms a vector to a new class < code > mic< / code > , which is an ordered factor with valid MIC values as levels. Invalid MIC values will be translated as < code > NA< / code > with a warning.< / p >
< / div >
< pre class = "usage" > < span class = 'fu' > as.mic< / span > (< span class = 'no' > x< / span > , < span class = 'kw' > na.rm< / span > < span class = 'kw' > =< / span > < span class = 'fl' > FALSE< / span > )
< span class = 'fu' > is.mic< / span > (< span class = 'no' > x< / span > )< / pre >
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< th > x< / th >
< td > < p > vector< / p > < / td >
< / tr >
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< th > na.rm< / th >
< td > < p > a logical indicating whether missing values should be removed< / p > < / td >
< / tr >
< / table >
< h2 class = "hasAnchor" id = "value" > < a class = "anchor" href = "#value" > < / a > Value< / h2 >
< p > Ordered factor with new class < code > mic< / 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 comprehensive 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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< pre class = "examples" > < span class = 'co' > # NOT RUN {< / span >
< span class = 'no' > mic_data< / span > < span class = 'kw' > < -< / span > < span class = 'fu' > as.mic< / span > (< span class = 'fu' > < a href = 'https://www.rdocumentation.org/packages/base/topics/c' > c< / a > < / span > (< span class = 'st' > "> =32"< / span > , < span class = 'st' > "1.0"< / span > , < span class = 'st' > "1"< / span > , < span class = 'st' > "1.00"< / span > , < span class = 'fl' > 8< / span > , < span class = 'st' > "< =0.128"< / span > , < span class = 'st' > "8"< / span > , < span class = 'st' > "16"< / span > , < span class = 'st' > "16"< / span > ))
< span class = 'fu' > is.mic< / span > (< span class = 'no' > mic_data< / span > )
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< span class = 'co' > # this can also coerce combined MIC/RSI values:< / span >
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< span class = 'fu' > as.mic< / span > (< span class = 'st' > "< =0.002; S"< / span > ) < span class = 'co' > # will return < =0.002< / span >
< span class = 'fu' > < a href = 'https://www.rdocumentation.org/packages/graphics/topics/plot' > plot< / a > < / span > (< span class = 'no' > mic_data< / span > )
< span class = 'fu' > < a href = 'https://www.rdocumentation.org/packages/graphics/topics/barplot' > barplot< / a > < / span > (< span class = 'no' > mic_data< / span > )
< span class = 'fu' > < a href = 'freq.html' > freq< / a > < / span > (< span class = 'no' > mic_data< / span > )
< span class = 'co' > # }< / 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/c.glasner/' > Corinna Glasner< / a > , < a href = 'https://www.rug.nl/staff/a.w.friedrich/' > Alex W. Friedrich< / a > , < a href = 'https://www.rug.nl/staff/b.sinha/' > Bhanu N. M. Sinha< / a > .< / p >
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