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Non-normal distributions in the Process Capability and Process Screening Platforms
Hi all, I am writing a script to aid my team in analyzing process capabilities for many properties across a variety of products. It seems like the Process Capability and Process Screening platforms are the ideal way to do that, but I'm struggling to get those platforms to handle non-normal distributions. When I assign Distribution or Process Capability Distribution properties to a column, the plat...
AndyWills
815 views | 1 replies -
Col Functions and Row States
According to the release notes for version 15 of JMP: The Col functions honor excluded rows through the Excluded(Row State()) function.
Col Maximum( :height, :sex, Excluded( Row State() ) ); However, this syntax doesn't seem to work. Can anyone suggest the corect syntax?
David_Burnham
5682 views | 17 replies -
Simulate data in Functional Data Explorer
HiI would like to simulate curve data using Direct Functional PCA from Functional Data Explorer.There is a simulator within Direct Functional PCA which is great! At a closer look, the simulator is simulating points (one can choose the number of points in advance) on the x axis and not separate curves. I tried different tricks to get separate curves, but with no luck. Therefore, I am wondering if t...
fdaf
1544 views | 3 replies -
Save As HTML
Bonjour à tous, j’ai une question sur JMP, je construis un dashboard à l’aide de différentes tables.
J’essaye d’automatiser l’enregistrement avec un html interactif.
Voici le code que j’utilise mais rien ne s’enregistre dans mon dossier.dashboard = JMP App(); //dashboard dashboard << Run; DASHBOARD = dashboard << report; DASHBOARD << Save interactive HTML("file...");Je ne comprends pas pourquoi c...hcarr01
1188 views | 2 replies -
Inverse prediction of sample with error in y
Hello,I'm working with calibration curves (Using the add-in Calibration Curves - JMP User Community) and would like to output a CI for a measured value. I understand how to make use of the inverse prediction function, what I don't know how to do is how to incorporate multiple measurements (triplicates) into my analysis. In short, how do I account for the variability in Y when doing a "Y by X" inve...
Brian_Pimentel
2853 views | 7 replies
Latest Discussions
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Non-normal distributions in the Process Capability and Process Screening Platforms
Hi all, I am writing a script to aid my team in analyzing process capabilities for many properties across a variety of products. It seems like the Process Capability and Process Screening platforms are the ideal way to do that, but I'm struggling to get those platforms to handle non-normal distributions. When I assign Distribution or Process Capability Distribution properties to a column, the plat...
815 views | 1 replies -
Col Functions and Row States
According to the release notes for version 15 of JMP: The Col functions honor excluded rows through the Excluded(Row State()) function.
Col Maximum( :height, :sex, Excluded( Row State() ) ); However, this syntax doesn't seem to work. Can anyone suggest the corect syntax?
David_Burnham
5682 views | 17 replies -
Facing Problem with JMP Course
Hello My name is Ridhi and I'm currently learning JMP. Unfortunately, I've been having some trouble accessing the course videos. I've tried different browsers, but the same error keeps popping up. Learning JMP is really important for me because I need to analyze data for my sister IVF Centre. I would be really grateful if anyone has any suggestions or insights on how to fix this error so that I ca...
Ridhisharma
770 views | 1 replies -
Mixture design with constants
Hello Community, I have a short question concerning the use of mixture designs with 6 ingredients varying and 2 ingredients fixed constant: I forgot to set the sum of the mixture to less than 1 ( Mixture % = 1 - constant 1 - constant 2). So right now when I sum all my ingredients, it makes slightly higher than 1. I already did all the modeling in this way and realized this just after. If I set th...
Julianveda
1026 views | 1 replies -
Lilliefors Confidence Bounds in Q-Q Plot (Normal Quantile Plot)
Hi,I would like to know the theory behind Lilliefors Confidence Bounds of Q-Q plot (in JMP 16). I did not find any related resources after checking JMP online documentation and doing research over the internet. It would be helpful if anyone can provide any related statistical concepts or coding. Thanks!
Luna
4523 views | 2 replies
Latest Discussions
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Vector Modeling and Related Analysis Capabilities
hello JMP team , I am curious to learn more on the vector data type modeling and any associated analysis on that . Are there examples of sample vector datasets ? Once such dataset exists, could clustering techniques work on them and how would they work specifically ?I assume they would at the very least extract statistical aggregation from each vector and use these for clustering. Is there any mo...
altug_bayram
654 views | 0 replies -
Dendrograms in JMP: show scale, show categories without the categories dendrogram and setup UPGMA+dice as statistics.
HiDoes anybody know how to get the scale of the dendrograms? Scale can be setup in different ways, but it is not shown by default in the output.Does anybody know how to get the categories labels shown without performing the categories dendrogram?Does anybody know how to perform Dice+UPGMA dendrograms? Those are basics statistics, and I can’t find them.Thank you very much if someone helps JMP 17.2....
JRTormo
898 views | 0 replies -
Keyboard shortcuts
[More Topic Containers like this] Jmp Help/Keyboard Shortcuts assign new Keyboard ShortcutsAssigning-keyboard-shortcuts-for-frequently-used-options comment/uncomment blocks of code (international keyboard)A shortcut can be set in the menu customization Editoradd keyboard shortcuts for your own functionsadd them to the main menu/ to a toolbar and assign a shortcutadd keyboard shortcuts for "open...
hogi
790 views | 0 replies -
When the neural network of JMP is operated in Python, the value is different.
When the neural network created by JMP was saved and run in python code, it output values different from the score output by JMP.
OS：windows 10Python Version : 3.9
File list jmp_score.py
CNN_NTanH_boost.py <- JMP Python
mypython_code.py
import CNN_NTanH_boost
import numpy as np
import pandas as pdfilepath = r"filepath" ext = 'csv' if filepath.endswith(ext): df=pd.read_csv(filepath) else : df=pd....TShiino
689 views | 0 replies -
Could JMP optimize factors with uncertainty?
Hello community!!,A question: will it be possible for the profiler to find the best combinations of factors with uncertainty when performing a simulation, which maximize the total utility and minimize the total cost, generating a table of the best combinations found? For example:
Marco1
663 views | 0 replies
JMP Events
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ChinaShanghai May 29
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12:00PM - 1:00PM EDTApr 3Teaching Predictive Modeling
REGISTER HERE: https://www.jmp.com/en_us/events/live-webinars/academic/teaching-predictive-modeling-...
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2:00PM - 3:00PM EDTApr 3Virtual JMP Pharma and Biotech Club: "Comparability: One of These Things Is Not Like the Other"
https://www.jmp.com/en_us/events/users-groups/users-group-meetings/jmp-pharmabio-club-03apr25.html &...
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1:00PM - 2:00PM EDTApr 4Getting Started with JMP
New JMP users will learn how to: Easily navigate JMP using the JMP Starter. Import all types o...
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2:00PM - 3:00PM EDTApr 4Centralizing Shared JMP Reports Across or Within Groups Using JMP Live - Mastering JMP
Do you need to share reports with different work groups, suppliers or partners? Are you part o...
