zscore

Performs Z-score tranformation for numerical variables.

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

zscore function

<dl> <dt>x</dt>
<dd>a numerical <code>vector</code>, <code>matrix</code> or <code>data.frame</code>.</dd> <dt>col</dt>
<dd>a character vector of column names or indices. If <code>"auto"</code>, all numeric columns will be transformed. If <code>"all"</code>, all columns will be transformed.</dd> <dt>mean</dt>
<dd>a numerical value or vector indicating the <code>mean</code> to use for Z-score calculation; if NULL, the default is the mean of <code>x</code>.</dd> <dt>sd</dt>
<dd>a numerical value or vector indicating the standard deviation(s) to use for Z-score calculation; if NULL, the default is the standard deviation of <code>x</code>.</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=1.19" 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

Z-score scaling of numerical variables — zscore

<dl>

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

 <dt>col</dt>
<dd>a character vector of column names or indices. If <code>"auto"</code>, all numeric columns will be transformed. If <code>"all"</code>, all columns will be transformed.</dd>

 <dt>mean</dt>
<dd>a numerical value or vector indicating the <code>mean</code> to use for Z-score calculation; if NULL, the default is the mean of <code>x</code>.</dd>

 <dt>sd</dt>
<dd>a numerical value or vector indicating the standard deviation(s) to use for Z-score calculation; if NULL, the default is the standard deviation of <code>x</code>.</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>

zscore: Z-score scaling of numerical variables

Description

Usage

Value

Arguments

Author

See Also

Examples