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Changelog

Source: NEWS.md

p3d 0.1.0

Initial release

Core functions

  • p_surface(): Compute the p-value surface of a single-sample t-test as a function of effect size (d) and sample size (n).
  • p_curve_2d(): Compute a 2D p-value curve for a fixed sample size, for comparison with existing 2D packages.

Visualization

  • plot_p_surface(): Interactive 3D visualization of the p-value surface, with engines for rgl (native window) and plotly (HTML widget).
  • plot_p_static(): Static 3D perspective plot using base R graphics (persp), with no external dependencies.

Documentation

  • Vignette p3d-intro: Introduction to the package with usage examples and a real-data application (mtcars).
  • Vignette p3d-comparison: Comparison of 2D and 3D p-value visualizations, including the moderating effect of sample size.

Testing

  • 29 unit tests covering all functions.
  • Monte Carlo verification against t.test().

Performance

  • p_surface() computes a 60,100-cell grid in ~0.02 seconds (~3 million p-values per second).
  • Memory usage is under 3 MB for the largest grids.