epitabl

A simulated dataset containing demographic, clinical, and outcome variables
for 500 individuals. Designed for demonstrating table creation and
diagnostic testing analysis.

datasets

Streamlines the creation of descriptive frequency tables ('Table 1'),
diagnostic test accuracy evaluations (sensitivity, specificity, predictive values),
and multi-outcome regression summaries. Features automatic tables,
prevalence and odds ratio calculations, and seamless integration with 'flextable'
for exporting results to 'Microsoft Word' and 'PowerPoint'.

Matheus Trabuco Gonzalez

SimtablR

Easy Publication-Ready Tables and Regression Analysis

epitabl function

A data frame with 500 rows and 19 variables:<dl>
<dt>id</dt>
<dd>Unique patient identifier</dd><dt>age</dt>
<dd>Age in years (Numeric)</dd><dt>sex</dt>
<dd>Biological sex (Female, Male)</dd><dt>bmi</dt>
<dd>Body Mass Index in kg/m2 (Numeric, contains NAs)</dd><dt>smoking</dt>
<dd>Smoking status (Never, Former, Current)</dd><dt>exercise</dt>
<dd>Physical activity level (Low, Moderate, High)</dd><dt>education</dt>
<dd>Educational attainment (High School, Some College, College+)</dd><dt>income</dt>
<dd>Annual household income (&lt;30k, 30-60k, 60k+)</dd><dt>disease</dt>
<dd>Disease status - primary outcome (No, Yes)</dd><dt>rapid_test</dt>
<dd>Result of rapid diagnostic test (Negative, Positive)</dd><dt>lab_confirmed</dt>
<dd>Laboratory confirmation - gold standard (No, Yes)</dd><dt>comorbidity_score</dt>
<dd>Score 0-5 based on medical history</dd><dt>outcome1</dt>
<dd>Count of primary care visits in past year</dd><dt>outcome2</dt>
<dd>Count of specialist visits in past year</dd><dt>outcome3</dt>
<dd>Count of emergency department visits in past year</dd><dt>hospitalized</dt>
<dd>Hospitalized in past year (No, Yes)</dd><dt>systolic_bp</dt>
<dd>Systolic blood pressure in mmHg</dd><dt>cholesterol</dt>
<dd>Total cholesterol in mg/dL</dd><dt>region</dt>
<dd>Geographic region (North, South, East, West)</dd>
</dl>

Format

Simulated Epidemiological Dataset — epitabl

A data frame with 500 rows and 19 variables:<dl>
<dt>id</dt>
<dd>Unique patient identifier</dd>

<dt>age</dt>
<dd>Age in years (Numeric)</dd>

<dt>sex</dt>
<dd>Biological sex (Female, Male)</dd>

<dt>bmi</dt>
<dd>Body Mass Index in kg/m2 (Numeric, contains NAs)</dd>

<dt>smoking</dt>
<dd>Smoking status (Never, Former, Current)</dd>

<dt>exercise</dt>
<dd>Physical activity level (Low, Moderate, High)</dd>

<dt>education</dt>
<dd>Educational attainment (High School, Some College, College+)</dd>

<dt>income</dt>
<dd>Annual household income (&lt;30k, 30-60k, 60k+)</dd>

<dt>disease</dt>
<dd>Disease status - primary outcome (No, Yes)</dd>

<dt>rapid_test</dt>
<dd>Result of rapid diagnostic test (Negative, Positive)</dd>

<dt>lab_confirmed</dt>
<dd>Laboratory confirmation - gold standard (No, Yes)</dd>

<dt>comorbidity_score</dt>
<dd>Score 0-5 based on medical history</dd>

<dt>outcome1</dt>
<dd>Count of primary care visits in past year</dd>

<dt>outcome2</dt>
<dd>Count of specialist visits in past year</dd>

<dt>outcome3</dt>
<dd>Count of emergency department visits in past year</dd>

<dt>hospitalized</dt>
<dd>Hospitalized in past year (No, Yes)</dd>

<dt>systolic_bp</dt>
<dd>Systolic blood pressure in mmHg</dd>

<dt>cholesterol</dt>
<dd>Total cholesterol in mg/dL</dd>

<dt>region</dt>
<dd>Geographic region (North, South, East, West)</dd>


</dl>

epitabl: Simulated Epidemiological Dataset

Description

Usage

Arguments

Format

Examples