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().
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.