eng_data

This dataset is about an engineering firm which monitors industrial machines over time to understand how long
they operate before experiencing a mechanical failure. Each machine is tracked from installation until either
it fails or the study period ends. The record includes each machine’s operating age (in years) and maintenance type of whether it receives regular maintenance or on-demand maintenance.

datasets

Provides several datasets used throughout the book
"Sampling and Data Analysis Using R: Theory and Practice" by
Islam (2025, ISBN:978-984-35-8644-5).
The datasets support teaching and learning of statistical concepts
such as sampling methods, descriptive analysis, estimation and
basic data handling. These curated data objects allow instructors,
students and researchers to reproduce examples, practice data
manipulation and perform hands-on analysis using R.

Professor Dr. Mohammad Shahidul Islam

dauR

Datasets for "Sampling and Data Analysis Using R: Theory and
Practice"

eng_data function

A dataframe with 4 variables and 223 observations:<dl>
 <dt>time</dt>
<dd>Time to malfunction (in days)</dd> <dt>status</dt>
<dd>Failure indicator (1 = still operational/censored, 2 = malfunctioned)</dd> <dt>age</dt>
<dd>Age of machine at installation (in years)</dd> <dt>maintenance</dt>
<dd>Maintenance type (1 = On-demand, 2 = Regular)</dd>
</dl>

Format

This dataset
is to demonstrate the concept of Survival Analysis — eng_data

A dataframe with 4 variables and 223 observations:<dl>
 <dt>time</dt>
<dd>Time to malfunction (in days)</dd>

 <dt>status</dt>
<dd>Failure indicator (1 = still operational/censored, 2 = malfunctioned)</dd>

 <dt>age</dt>
<dd>Age of machine at installation (in years)</dd>

 <dt>maintenance</dt>
<dd>Maintenance type (1 = On-demand, 2 = Regular)</dd>


</dl>

eng_data: This dataset is to demonstrate the concept of Survival Analysis

Description

Usage

Arguments

Format

Examples