skewness.Rd
Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.
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.
skewness(x, na.rm = FALSE) # S3 method for default skewness(x, na.rm = FALSE) # S3 method for matrix skewness(x, na.rm = FALSE) # S3 method for data.frame skewness(x, na.rm = FALSE)
x | a vector of values, a |
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na.rm | a logical value indicating whether |
On our website https://msberends.gitlab.io/AMR you can find a tutorial about how to conduct AMR analysis, the complete documentation of all functions (which reads a lot easier than here in R) and an example analysis using WHONET data.