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Comprehensive testing scenarios designed to validate different aspects of modern table formatting functionality using the TinyTable test datasets.

Usage

tinytable_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

Table_Type

Character. Recommended table type

Variables

Character. Suggested variables for testing

Expected_Result

Character. Expected outcome of the analysis

Source

Generated by create_tinytable_test_data.R

Details

This documentation provides systematic testing scenarios covering:

  • Basic data summary functionality

  • Clinical demographics table generation

  • Laboratory results presentation

  • Grouped analysis capabilities

  • Mixed data type handling

  • Longitudinal data formatting

  • Theme and styling validation

  • Missing data handling

  • Edge case robustness testing

  • Small sample size behavior

  • Publication-ready formatting

  • Multi-format output consistency

  • Error handling validation

Each scenario includes the recommended dataset, table type, variables, and expected results for comprehensive validation.