chart op• 数据种类:matrix → table
• 调用: import fullseye as fs; fs.ledger.spc_xbar_r(subgroups)(要直接调用实现,import spc; spc.spc_xbar_r(subgroups);从台账取用则 opsspc.get("spc_xbar_r"))
> 该算子的说明尚无译文,以下照原文给出。
Shewhart Xbar-R control chart from subgroup measurements.
subgroups is a 2-D array of shape (m, n) — m subgroups of n measurements each, 2 <= n <= 10 (the range chart is only calibrated for small subgroups). For each subgroup j the plotted statistics are the mean Xbar_j and the range R_j = max - min. The centre lines are the grand mean Xbarbar and the mean range Rbar, and with the ISO 8258 constants (A2, D3, D4) for that n::
xbar_ucl = Xbarbar + A2*Rbar xbar_lcl = Xbarbar - A2*Rbar
r_ucl = D4*Rbar r_lcl = D3*Rbar
Returns a dict (a "table") with the per-subgroup xbar / r arrays, the six limits and three centre lines, the integer indices out_of_control of subgroups outside either chart, and in_control (True when that list is empty). The constants are fixed by n: for n=5 they are exactly A2=0.577, D3=0.000, D4=2.115 (pinned in the tests).
Raises ValueError: a non-2-D / empty *subgroups*, a subgroup size outside [2, 10], or non-finite / mislabelled input.
• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。
• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。
• 算法的正典(作者、年份)与用途见上面的族使用指南。
• poc_spc — py -3.11 examples/poc_spc.py
table 作为输入)msa_anova_table · msa_gauge_rr · msa_bias_linearity · msa_attribute_agreement · gum_standard_uncertainty · gum_propagate · gum_expanded · gum_monte_carlo
chart)—
*Provenance: spc.py — SPC 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.