As of July 26, 2026

STA-6543 Predictive Modeling — Chapter 9: An Introduction to Statistical Learning with Applications in R Questions 5, 7, and 8

Explore clinical data from breast cancer patients in The Cancer Genome Atlas (TCGA).

The core insight was that all four images are the same mathematical object seen four ways: three are renderings of the reverse (predecessor) tree of the 3n+1 map, and one is a single long orbit. From shared building blocks — a forward orbit function, the predecessor-tree builder, and the "proportional power ratio" mapping — each figure adds its own layout and styling: Figure 1 (green/red neuron): the predecessor tree under a vectorized Fruchterman–Reingold force layout, with quadratic-Bézier curved edges for the organic loops and the longest root-to-leaf paths highlighted red. Figure 2 (rainbow fan): a faithful line-for-line port of the Processing "Collatz Tree" sketch — fixed branch geometry, depth-cycled palette, green leaf dots. Deterministic, so essentially an exact match. Figure 3 (purple/orange lobed tree): the same tree under the force layout to get the graphviz-neato look — central spine, lobes with white gaps, dark-red→plum→orange depth colouring. This one we corrected mid-project after you flagged that my first radial version filled the circle too uniformly. Figure 4 (polar web): one long orbit (n = 670617279) plotted with θ = index in radians and r = power-ratio base 6, which produces the star/spoke pattern. Also deterministic and near-exact.

Versão final do projeto de Análise Exploratória de dados com o tema de: Pipeline.

Ordo_Salutis_Prompt_y_Estudio_Detallado con apoyo de DeepSeek