Description Usage Arguments Details Value Examples

`kurtosis`

calculates the Kurtosis

1 | ```
kurtosis(x, na.rm = T)
``` |

`x` |
a numeric vector, matrix or a data.frame |

`na.rm` |
(logical) Should missing values be removed? |

This function calculates the kurtosis of data which is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Like skewness, kurtosis describes the shape of a probability distribution. The formula used is:

*\frac{E[(X-μ)^{4}]}{(
E[(X-μ)^2])^{2}}*

. This formula is the typical definition used in many older textbooks and wikipedia

returns a single value if `x`

is a vector, otherwise a named
vector of size `= ncol(x)`

.

1 2 3 4 5 |

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