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. We are no longer convinced that this function is the optimal approach (but we do not know yet what a better approach would be), or whether this function should be in our 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.