doe_orthogonal_array — MULTIVAR `plan` op

• データ種: なし → design(引数だけで決まる op —— 画像やデータの入力を取らない)

• 呼び出し: import fullseye as fs; fs.ledger.doe_orthogonal_array(name='L9', factors=None, columns=None) -> 'dict' (実装を直接呼ぶなら import doe; doe.doe_orthogonal_array(name='L9', factors=None, columns=None) -> 'dict'、台帳から引くなら opsmultivar.get("doe_orthogonal_array"))

使い方

Orthogonal array L4 / L8 / L9 / L12 / L16 / L18 / L27 from a published table -> design.

The arrays are copied from published tables (sources and the copy check in OA_SOURCES), not generated: Taguchi's numbering of columns is what shop-floor literature and the linear graphs refer to, and a generated array with another column order would silently assign factors to interaction columns. Published level symbols 1, 2 (, 3) map to coded −1, +1 (, or −1, 0, +1).

factors: int / names / (name, lo, hi[, unit[, scale]]) (default: one factor per column). columns: 1-based column numbers to assign the factors to, in order (default: the first k columns; for L18 column 1 is the two-level one).

The returned alias lists, for every pair of assigned factors, the columns their interaction falls on and the share (see _oa_interaction_share) — if such a column also carries an assigned factor, that main effect is confounded with the interaction. meta['strength2_ok'] re-checks orthogonality on the table actually used, and meta['regular'] says whether interactions land on whole columns.

詳しい使い方ガイド

• design_of_experiments ファミリガイド

参考(サンプルデータ・文献)

• サンプルデータカタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。

• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。

• アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。

実行できる例(この op を実際に呼ぶ検証済みサンプル)

• doe_plan_tour — py -3.11 examples/doe_plan_tour.py

• multivar_inspection_tour — py -3.11 examples/multivar_inspection_tour.py

• poc_simcal_thin_film — py -3.11 examples/poc_simcal_thin_film.py

型が繋がる次の op(`design` を入力に取れる)

doe_decode · rsm_fit · doe_main_effects · sens_morris · sens_sobol

同カテゴリ(`plan`)

doe_lhs · doe_fractional_factorial · doe_central_composite · doe_box_behnken

*Provenance: doe.py — MULTIVAR operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。*

doe_orthogonal_array — MULTIVAR plan op

使い方