Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. A normal distribution has a kurtosis of 3 and a excess kurtosis of 0.

## Usage

kurtosis(x, na.rm = FALSE, excess = FALSE)

# S3 method for default
kurtosis(x, na.rm = FALSE, excess = FALSE)

# S3 method for matrix
kurtosis(x, na.rm = FALSE, excess = FALSE)

# S3 method for data.frame
kurtosis(x, na.rm = FALSE, excess = FALSE)

## Arguments

x

a vector of values, a matrix or a data.frame

na.rm

a logical to indicate whether NA values should be stripped before the computation proceeds

excess

a logical to indicate whether the excess kurtosis should be returned, defined as the kurtosis minus 3.

skewness()
kurtosis(rnorm(10000))