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python data connector

Would anyone have an example of creating a custom data connector using Python in JMP 19?
tmontana1111

Discussions |
Oct 21, 2025 11:23 AM

194 views | 2 replies
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

555 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

216 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

241 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

143 views | 2 replies

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Latest Discussions

python data connector

Would anyone have an example of creating a custom data connector using Python in JMP 19?
tmontana1111

Discussions |
Oct 21, 2025 11:23 AM

194 views | 2 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

216 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

241 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

143 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

117 views | 1 replies

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Latest Discussions

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

216 views | 0 replies
WINDOWS > JMP 17.2 > Custom Report Window > Save Presentation ==> Only portion saved to PPTX

Hi JMP Community, I built a simple report with a graph builder plot, a multicolumn text section, and a summary section (see below) that I would like to export to PowerPoint. While I can save this report as a PDF without any problems, when I save it as a Presentation/PowerPoint manually or within the script, JMP generates slides that only contain the plot section and none of the text (GO GENES and...
Thierry_S

Discussions |
Oct 20, 2025 8:06 AM

163 views | 0 replies
How do I get z-scores for each protein in the Longitudinal dataset? (JMP Pro 18 Free Student Edition)

For context, I am running analyses on a proteomics experiment. I have two datasets: Intraday (comparing AM to PM), and Longitudinal (comparing Day 0 to Day 30 to Day 90) for protein concentration. For Intraday, I have 600 proteins I am looking at. For Longitudinal, I have 68. I want to find out the magnitude of change between the time points for each protein, so I am trying to find z-scores. I am ...
CompositeLemur6

Discussions |
Oct 19, 2025 3:48 PM

191 views | 0 replies
SPC Sampling Rate Determination

I am trying to determine an appropriate sampling plan for a manufacturing process which has a dimensional in process control (a length). There is a USL and LSL with a target. Cpk and Ppk are both coming in at >2 on a sample size of >2000 units across two mfg. lots.

We sampled at a rate of ~5%. I’m trying to figure out what the minimum sample rate is to ensure quality (95/95 confidence coverage). H...
NullWolverine78

Discussions |
Oct 18, 2025 12:51 PM

172 views | 0 replies
Moving Box Smoother (Graph Builder)

I'm using the moving box smoother in JMP 19 graph builder and can't seem to find any definitive documentation on how to interpret the 2 shade gradations surrounding the smoother curve. Are these confidence bands? If so is the lighter (wider) the 99% band and the darker (narrower) 95%?
dbmurrell

Discussions |
Oct 15, 2025 8:29 AM

157 views | 0 replies