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Edge Cases and Quality Testing Dataset

Source: R/data_tinytable_docs.R
tinytable_edge_cases.Rd

Specialized dataset containing various edge cases, extreme values, special characters, and challenging data patterns. Designed to test the robustness of table formatting implementations and error handling capabilities.

Usage

tinytable_edge_cases

Format

A data frame with 100 observations and 10 variables:

id

Character. Unique identifier (EDGE_001 to EDGE_100)

scenario

Factor. Test scenario type (1-6)

numeric_var_1

Numeric. Variable with extreme values, zeros, and systematic missing

numeric_var_2

Numeric. Variable with negative values, small decimals, and irrational numbers

categorical_var_1

Factor. Categorical variable with missing and extreme categories

categorical_var_2

Factor. Standard categorical variable

special_characters

Factor. Categories with special characters and Unicode

constant_numeric

Numeric. Constant value (all 42) for edge case testing

constant_factor

Factor. Constant factor (all "SAME") for edge case testing

many_categories

Factor. Factor with 25 different levels

Source

Simulated data generated using create_tinytable_test_data.R

Details

This dataset is designed to stress-test table formatting implementations with various edge cases and challenging data patterns:

Scenario Types:

  • Scenario 1: Normal case (baseline comparison)

  • Scenario 2: Extreme values (very large positive and negative numbers)

  • Scenario 3: Very small values (near-zero decimals)

  • Scenario 4: Many decimal places and irrational numbers

  • Scenario 5: Zero and negative zero edge cases

  • Scenario 6: All missing values

Quality Issues:

  • Special characters in category names (@#$, Unicode, spaces)

  • Systematic missing patterns (every 5th and 7th observation)

  • Constant values across all observations

  • Factors with many levels (25 categories)

  • Extreme numeric ranges (0.0001 to 10,000)

Recommended TinyTable Usage:

  • All table types for robustness testing

  • Error handling validation

  • Special character handling

  • Missing data pattern testing

See also

tinytable, tinytable_datasets

Examples

if (FALSE) { # \dontrun{
# Load the dataset
data(tinytable_edge_cases)

# Test robustness with edge cases
result <- tinytable(
  data = tinytable_edge_cases,
  vars = c("numeric_var_1", "numeric_var_2", "categorical_var_1"),
  table_type = "summary",
  show_missing = TRUE,
  precision_digits = 4
)

# Test scenario-based grouping
result_scenario <- tinytable(
  data = tinytable_edge_cases,
  vars = c("numeric_var_1", "special_characters"),
  group_var = "scenario",
  table_type = "raw"
)
} # }