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Comprehensive testing scenarios designed to validate different aspects of enhanced data summary functionality using summarytools integration with the toolssummary test datasets. Each scenario targets specific summarytools features and analysis capabilities.

Usage

toolssummary_test_scenarios

Format

A data frame with 14 observations and 5 variables:

Scenario

Character. Name of the testing scenario

Dataset

Character. Recommended dataset for this scenario

summarytools_Feature

Character. Primary summarytools feature being tested

Variables

Character. Suggested variables for testing

Expected_Result

Character. Expected outcome of the analysis

Source

Generated by create_toolssummary_test_data.R

Details

This documentation provides systematic testing scenarios covering all major summarytools features and enhanced data summary capabilities:

Core summarytools Features Tested:

  • dfSummary: Comprehensive data frame overviews with plots and statistics

  • freq: Enhanced frequency tables with cumulative frequencies and formatting

  • descr: Extended descriptive statistics with additional measures

  • ctable: Cross-tabulation tables with chi-square tests and proportions

Advanced Scenarios Covered:

  • Basic data summary functionality

  • Clinical demographics table generation

  • Laboratory results analysis and presentation

  • Grouped analysis by categorical variables

  • Mixed data type handling and formatting

  • Longitudinal data analysis across timepoints

  • Cross-tabulation analysis with statistical tests

  • Missing data assessment and reporting

  • Edge case robustness testing

  • Small sample size behavior validation

  • Multi-format output consistency testing

  • Error handling and graceful degradation

Each scenario includes the recommended dataset, target summarytools features, suggested variables, and expected results for comprehensive validation.