Enhanced Tools for Data Summary Test Scenarios Documentation
Source:R/data_toolssummary_docs.R
toolssummary_test_scenarios.Rd
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.
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
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.