partition

Randomly partitions the data (primarly intended to split into "training" and "test" sets) according to the supplied probabilities.

data preprocessing

Provides a suite of helper functions and a collection of datasets used in the book <https://uncovering-data-science.netlify.app>. It is designed to make data science techniques accessible to individuals with minimal coding experience. Inspired by an ancient Persian idiom, the package likens this learning process to "eating the liver of data science," symbolizing deep and immersive engagement with the field.

Abdolreza Mohammadi

liver

"Eating the Liver of Data Science"

Reza Mohammadi

Kevin Burke

partition function

<dl> <dt>data</dt>
<dd>an (\(n \times p\)) <code>matrix</code> or a <code>data.frame</code>.</dd> <dt>ratio</dt>
<dd>a numerical vector in range of [0, 1].</dd> <dt>set.seed</dt>
<dd>a single value, interpreted as an integer, or NULL.</dd></dl>

Arguments

Reza Mohammadi <a href="/link/a.mohammadi%40uva.nl?package=liver&version=1.19" data-mini-rdoc="liver::a.mohammadi@uva.nl">a.mohammadi@uva.nl</a> and Kevin Burke <a href="/link/kevin.burke%40ul.ie?package=liver&version=1.19" data-mini-rdoc="liver::kevin.burke@ul.ie">kevin.burke@ul.ie</a>

Author

Partition the data — partition

<dl>

 <dt>data</dt>
<dd>an (\(n \times p\)) <code>matrix</code> or a <code>data.frame</code>.</dd>

 <dt>ratio</dt>
<dd>a numerical vector in range of [0, 1].</dd>

 <dt>set.seed</dt>
<dd>a single value, interpreted as an integer, or NULL.</dd>

</dl>

Reza Mohammadi <a href='mailto:a.mohammadi@uva.nl'>a.mohammadi@uva.nl</a> and Kevin Burke <a href='mailto:kevin.burke@ul.ie'>kevin.burke@ul.ie</a>

partition: Partition the data

Description

Usage

Value

Arguments

Author

Examples