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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.