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< title > Kurtosis of the sample — kurtosis • AMR (for R)< / title >
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< h1 > Kurtosis of the sample< / h1 >
< div class = "hidden name" > < code > kurtosis.Rd< / code > < / div >
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< p > Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable.< / p >
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< pre class = "usage" > < span class = 'fu' > kurtosis< / 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' > kurtosis< / 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' > kurtosis< / 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' > kurtosis< / span > (< span class = 'no' > x< / span > , < span class = 'kw' > na.rm< / span > < span class = 'kw' > =< / span > < span class = 'fl' > FALSE< / span > )< / pre >
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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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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 omprehensive tutorial< / a > about how to conduct AMR analysis and find < a href = 'https://msberends.gitlab.io/AMR/reference' > the complete documentation of all functions< / a > , which reads a lot easier than in R.< / p >
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