Package: varequal 0.0.3

1. Overview | 2. Installation | 3. Quick start | 4. Understanding homogeneity-of-variance testing | 5. Data input | 5.1 Data frame and formula | 5.2 A list of numeric vectors | 6. The individual tests | 6.1 Ansari--Bradley test | 6.2 Bartlett's test | 6.3 Brown--Forsythe test | 6.4 Fligner--Killeen test | 6.5 't Lam's G test | 6.6 Levene's test | 6.7 O'Brien's test | 6.8 O'Neill--Mathews test | 7. Selecting a test with check_var_equal() | 8. Automatic assessment with is_var_equal() | 9. Why multiple tests can disagree | 10. Inspecting the data before testing | 11. Built-in datasets | 11.1 roGFP | 11.2 CYCB1 | 12. Benchmarking and method performance | Scenario 1: normally-distributed data, moderate sample size, no outlier | Scenario 2: normally-distributed data, small sample size, no outlier | Scenario 3: normally-distributed data, moderate sample size, with outliers | Practical interpretation | Summary | References