z.conf

Compute a confidence interval for the mean of a response variable using the z-distribution.

parameter learning

Provides a collection of helper functions and illustrative datasets to support learning and teaching of data science with R. The package is designed as a companion to the book <https://book-data-science-r.netlify.app>, making key data science techniques accessible to individuals with minimal coding experience. Functions include tools for data partitioning, performance evaluation, and data transformations (e.g., z-score and min-max scaling). The included datasets are curated to highlight practical applications in data exploration, modeling, and multivariate analysis. An early inspiration for the package came from an ancient Persian idiom about "eating the liver," symbolizing deep and immersive engagement with knowledge.

Abdolreza Mohammadi

liver

Foundations Toolkit and Datasets for Data Science

Reza Mohammadi

Kevin Burke

z.conf function

<dl> <dt>x</dt>
<dd>a (non-empty) numeric vector of data values.</dd> <dt>sigma</dt>
<dd>the population standard deviation. If <code>NULL</code>, the sample standard deviation is used. This is useful when the population standard deviation is known, otherwise it should be left as <code>NULL</code>.</dd> <dt>conf</dt>
<dd>confidence level of the interval.</dd></dl>

Arguments

Reza Mohammadi <a href="/link/a.mohammadi%40uva.nl?package=liver&version=1.23" data-mini-rdoc="liver::a.mohammadi@uva.nl">a.mohammadi@uva.nl</a>

Author

Confdidence interval for mean using z-distribution — z.conf

<dl>

 <dt>x</dt>
<dd>a (non-empty) numeric vector of data values.</dd>

 <dt>sigma</dt>
<dd>the population standard deviation. If <code>NULL</code>, the sample standard deviation is used. This is useful when the population standard deviation is known, otherwise it should be left as <code>NULL</code>.</dd>

 <dt>conf</dt>
<dd>confidence level of the interval.</dd>

</dl>

Reza Mohammadi <a href='mailto:a.mohammadi@uva.nl'>a.mohammadi@uva.nl</a>

z.conf: Confdidence interval for mean using z-distribution

Description

Usage

Value

Arguments

Author

Examples