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• How to find both peaks and valleys in a data using JSL

  I am new to creating scripts and having trouble creating one that labels the peaks and valleys on the data. The goal is to actually label all valleys after the first Peak is detected. I am trying to simplify it by creating a script that graphs the data and labels all peaks and valleys to allow easier data analysis by my team. Tried to follow past instructions and it seems I just can't get it to wo...

  spacejmpuser

  Discussions |

  Oct 21, 2025 10:46 AM

  260 views | 9 replies

• F Ratio Calculation Before Entry under the Combine Rule

  In stepwise regression using the Combine rule,
  could you please help me understand how the F ratio for the child effect (Material B–C) is computed before it enters the model?
  In my results, this value is F = 0.103779 (as shown in the screenshot). It doesn’t seem to match the F ratio that would correspond to the larger of the two p-values mentioned in the JMP documentation —
  that is, the joint probabi...

  happy

  Discussions |

  Oct 21, 2025 2:42 AM

  110 views | 0 replies

• Slight difference in p-values under “Combine” rule (before vs after entry)

  您好，
  我注意到在使用逐步回归和组合规则时，p 值存在细微但一致的差异。
  在我的示例中（见下方截图），材料 (B–C) 显示的效果为：
  输入模型前：Prob > F = 0.75127
  输入模型后：Prob > F = 0.75103
  F 比和自由度完全相同 (F ≈ 0.104, df1 = 1, df2 = 16)，所以我想知道为什么 p 值不相同。
  我的猜测是，JMP 在候选效应进入模型之前计算候选效应时会执行“临时完全拟合”或增量投影，这可能会与最终的完整模型拟合产生微小的数值差异。
  有人可以确认 JMP 在组合规则中计算候选 p 值的方式是否确实如此吗？以及这个细微的（1e-4 级）差异是否是由于内部精度或四舍五入造成的？
  谢谢！ JMP 专业版 17.1.0

  happy

  Discussions |

  Oct 21, 2025 1:52 AM

  118 views | 2 replies

• Prediction Profiler issue

  @malcolm_moore1 
  
  I have a question regarding an issue with the Prediction Profiler, and I’d appreciate your help in understanding it. I built a model using the Fit Model function, where three responses were fitted separately, each including multiple effects in Effect Screening mode. After building the model, I identified the most significant effects and checked the residuals for normality. Once the...

  Rokusan91

  Discussions |

  Oct 21, 2025 12:30 AM

  104 views | 2 replies

• 24-deep well plates with hard to change factors

  Hi, I am setting up an experiment using 24-deep well plates, with 5 factors, among which 2 are temperature and time. These are hard to change factors, since the deep-well plate has to go to the freezer or to the heater for certain amount of time, while other 3 parameters can vary between deep wells across the plate. I was just wondering if setting up a DoE using hard-to-change factors and ending u...

  aatw

  Discussions |

  Oct 21, 2025 12:12 AM

  81 views | 1 replies