hai_kurtosis_vec

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.
<code>((1/n) * sum(x - mu})^4) / ((()1/n) * sum(x - mu)^2)^2</code>

Hospital machine learning and ai data analysis workflow tools, modeling, and automations.
This library provides many useful tools to review common administrative
hospital data. Some of these include predicting length of stay, and readmits.
The aim is to provide a simple and consistent verb framework that takes the
guesswork out of everything.

Steven Sanderson

healthyR.ai

The Machine Learning and AI Modeling Companion to 'healthyR'

hai_kurtosis_vec function

<dl><dt>.x</dt>
<dd>A numeric vector of length four or more.</dd></dl>

Arguments

Author

Compute Kurtosis of a Vector — hai_kurtosis_vec

<dl>

<dt>.x</dt>
<dd>A numeric vector of length four or more.</dd>

</dl>

hai_kurtosis_vec: Compute Kurtosis of a Vector

Description

Usage

Value

Arguments

Author

Details

See Also

Examples