Skewness of the sample

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 matrix or a data frame
na.rm	a logical value indicating whether NA values should be stripped before the computation proceeds.

Read more on our website!

On our website https://msberends.gitlab.io/AMR you can find a omprehensive tutorial about how to conduct AMR analysis and find the complete documentation of all functions, which reads a lot easier than in R.

See also

kurtosis