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< title > Skewness of the sample — skewness • AMR (for R)< / title >
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When negative: the left tail is longer; the mass of the distribution is concentrated on the right of the figure. When positive: the right tail is longer; the mass of the distribution is concentrated on the left of the figure." />
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< h1 > Skewness of the sample< / h1 >
< div class = "hidden name" > < code > skewness.Rd< / code > < / div >
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< p > Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.< / p >
< p > When negative: the left tail is longer; the mass of the distribution is concentrated on the right of the figure. When positive: the right tail is longer; the mass of the distribution is concentrated on the left of the figure.< / p >
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< pre class = "usage" > < span class = 'fu' > skewness< / span > (< span class = 'no' > x< / span > , < span class = 'kw' > na.rm< / span > < span class = 'kw' > =< / span > < span class = 'fl' > FALSE< / span > )
< span class = 'co' > # S3 method for default< / span >
< span class = 'fu' > skewness< / span > (< span class = 'no' > x< / span > , < span class = 'kw' > na.rm< / span > < span class = 'kw' > =< / span > < span class = 'fl' > FALSE< / span > )
< span class = 'co' > # S3 method for matrix< / span >
< span class = 'fu' > skewness< / span > (< span class = 'no' > x< / span > , < span class = 'kw' > na.rm< / span > < span class = 'kw' > =< / span > < span class = 'fl' > FALSE< / span > )
< span class = 'co' > # S3 method for data.frame< / span >
< span class = 'fu' > skewness< / span > (< span class = 'no' > x< / span > , < span class = 'kw' > na.rm< / span > < span class = 'kw' > =< / span > < span class = 'fl' > FALSE< / span > )< / pre >
< h2 class = "hasAnchor" id = "arguments" > < a class = "anchor" href = "#arguments" > < / a > Arguments< / h2 >
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< td > < p > a vector of values, a < code > matrix< / code > or a < code > data frame< / code > < / p > < / td >
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< th > na.rm< / th >
< td > < p > a logical value indicating whether < code > NA< / code > values should be stripped before the computation proceeds.< / p > < / td >
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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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< 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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