Compute Kurtosis of a Vector — tidy_kurtosis_vec • TidyDensity
Description: This function takes in a vector as it's input and will return the kurtosis of that vector. The length of this vector must be at least four numbers. The kurtosis explains the sharpness of the peak of a distribution of data. ((1/n) * sum(x - mu})^4) / ((()1/n) * sum(x - mu)^2)^2

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# Compute Kurtosis of a Vector

Source: `R/vec-kurtosis.R`
`tidy_kurtosis_vec.Rd`

This function takes in a vector as it's input and will return the kurtosis of that vector. The length of this vector must be at least four numbers. The kurtosis explains the sharpness of the peak of a distribution of data.

`((1/n) * sum(x - mu})^4) / ((()1/n) * sum(x - mu)^2)^2`

## Usage

    tidy_kurtosis_vec(.x)

## Arguments

.x

  A numeric vector of length four or more.

## Value

The kurtosis of a vector

## Details

A function to return the kurtosis of a vector.

## See also

https://en.wikipedia.org/wiki/Kurtosis

Other Vector Function: `bootstrap_p_vec()`, `bootstrap_q_vec()`, `cgmean()`, `chmean()`, `ckurtosis()`, `cmean()`, `cmedian()`, `csd()`, `cskewness()`, `cvar()`, `tidy_scale_zero_one_vec()`, `tidy_skewness_vec()`

Other Statistic: `ci_hi()`, `ci_lo()`, `tidy_range_statistic()`, `tidy_skewness_vec()`, `tidy_stat_tbl()`

Other Vector Function: `bootstrap_p_vec()`, `bootstrap_q_vec()`, `cgmean()`, `chmean()`, `ckurtosis()`, `cmean()`, `cmedian()`, `csd()`, `cskewness()`, `cvar()`, `tidy_scale_zero_one_vec()`, `tidy_skewness_vec()`

## Author

Steven P. Sanderson II, MPH

## Examples

    tidy_kurtosis_vec(rnorm(100, 3, 2))
    #> [1] 2.847547