AMR/reference/skewness.md

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 ('left-skewed'): the left tail is longer; the mass of the distribution is concentrated on the right of a histogram. When positive ('right-skewed'): the right tail is longer; the mass of the distribution is concentrated on the left of a histogram. A normal distribution has a skewness of 0.

Usage

skewness(x, na.rm = FALSE)

# Default S3 method
skewness(x, na.rm = FALSE)

# S3 method for class 'matrix'
skewness(x, na.rm = FALSE)

# S3 method for class '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.

See also

kurtosis()

Examples

skewness(runif(1000))
#> [1] -0.01429035