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)
Arguments
| x | a vector of values, a |
|---|---|
| na.rm | a logical value indicating whether |
Questioning lifecycle
The lifecycle of this function is questioning. This function might be no longer be optimal approach, or is it questionable whether this function should be in this AMR package at all.
Read more on our website!
On our website https://msberends.gitlab.io/AMR you can find a comprehensive 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.