# Skewness of the sample — skewness • AMR (for R)
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 of the sample

`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)

## 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`