scaler

Performs feature scaling such as Z-score and min-max scaling.

data preprocessing

Offers a suite of helper functions to simplify various data science techniques for non-experts. This package aims to enable individuals with only a minimal level of coding knowledge to become acquainted with these techniques in an accessible manner. Inspired by an ancient Persian idiom, we liken this process to "eating the liver of data science," suggesting a deep and intimate engagement with the field of data science. This package includes functions for tasks such as data partitioning for out-of-sample testing, calculating Mean Squared Error (MSE) to assess prediction accuracy, and data transformations (z-score and min-max). In addition to these helper functions, the 'liver' package also features several intriguing datasets valuable for multivariate analysis.

Abdolreza Mohammadi

liver

"Eating the Liver of Data Science"

Reza Mohammadi

Kevin Burke

scaler function

<dl> <dt>x</dt>
<dd>a numerical <code>vector</code>, a <code>matrix</code> or a <code>data.frame</code>.</dd> <dt>method</dt>
<dd>a method to transfer <code>x</code>.</dd> <dt>columns</dt>
<dd>which columns are going to tranfer for the cases that <code>x</code> is a <code>matrix</code> or a <code>data.frame</code>. Defaults to all columns.</dd> <dt>na.rm</dt>
<dd>a logical value indicating whether NA values in <code>x</code> should be stripped before the computation proceeds.</dd></dl>

Arguments

Reza Mohammadi <a href="/link/a.mohammadi%40uva.nl?package=liver&version=1.18" 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=1.18" data-mini-rdoc="liver::kevin.burke@ul.ie">kevin.burke@ul.ie</a>

Author

Feature scaling — scaler

<dl>

 <dt>x</dt>
<dd>a numerical <code>vector</code>, a <code>matrix</code> or a <code>data.frame</code>.</dd>

 <dt>method</dt>
<dd>a method to transfer <code>x</code>.</dd>

 <dt>columns</dt>
<dd>which columns are going to tranfer for the cases that <code>x</code> is a <code>matrix</code> or a <code>data.frame</code>. Defaults to all columns.</dd>

 <dt>na.rm</dt>
<dd>a logical value indicating whether NA values in <code>x</code> should be stripped before the computation proceeds.</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>

scaler: Feature scaling

Description

Usage

Value

Arguments

Author

See Also

Examples