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removing terms from a model following a designed experment

Ok, suppose I've conducted a full factorial design with four 2-level factors. When fitting the model I've included all 2-way interactions. Some of the factors' main effects and interactions are not significant at 0.05. If I then remove the least significant factors (those at the bottom of the effect summary table), some of the non-significant terms become significant. If I were trying to develop t...
gchesterton

Discussions |
Nov 27, 2023 10:20 AM

3177 views | 5 replies
how to get fixed effect tests table to appear

I have a continuous response variable (Average) and a categorical predictor (Treatment) with labels 1 through 14 indicating the 14 levels. I have set the Treatment variable as ordinal, and was able to use the fit model function to obtain the least squares means table and least square means plot. However, I am unable to figure out how to obtain a table for a type 3 test of fixed effects. Specifical...
aczura

Discussions |
Nov 27, 2023 10:01 AM

1606 views | 2 replies
proper analyses of count data with factors

I have an experiment where fungi were cultured from two different types of plant (A and B). I have identified all the species to species. I want to test to see if there is a statistical difference between the number of times a Fungal species was recovered between the two plant types. I have JMP 17 and thought a generalized linear model would work with plant type and species and their interactio...
Nkleczewski

Discussions |
Nov 27, 2023 9:56 AM

2322 views | 6 replies
how to get a type 3 fixed effects test table

Does anybody know how to get a type 3 fixed effects test in JMP using the Fit Model option? I have a continuous response variable and a categorical predictor. I need a table that lists the denominator degrees of freedom for the F value. It should be a table that comes with the name Fixed Effect Tests. Please help!
aczura

Discussions |
Nov 27, 2023 8:59 AM

914 views | 1 replies
Design space for 4 variables

We designed an RSM model for the optimization of 4 variables that are used as a combination. Once the results are obtained how do we obtain the design space (sweet spot) for all 4 variables together? Please help. Many Thanks!
Amp

Discussions |
Nov 27, 2023 8:01 AM

1652 views | 4 replies

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Latest Discussions

removing terms from a model following a designed experment

Ok, suppose I've conducted a full factorial design with four 2-level factors. When fitting the model I've included all 2-way interactions. Some of the factors' main effects and interactions are not significant at 0.05. If I then remove the least significant factors (those at the bottom of the effect summary table), some of the non-significant terms become significant. If I were trying to develop t...
gchesterton

Discussions |
Nov 27, 2023 10:20 AM

3177 views | 5 replies
how to get fixed effect tests table to appear

I have a continuous response variable (Average) and a categorical predictor (Treatment) with labels 1 through 14 indicating the 14 levels. I have set the Treatment variable as ordinal, and was able to use the fit model function to obtain the least squares means table and least square means plot. However, I am unable to figure out how to obtain a table for a type 3 test of fixed effects. Specifical...
aczura

Discussions |
Nov 27, 2023 10:01 AM

1606 views | 2 replies
proper analyses of count data with factors

I have an experiment where fungi were cultured from two different types of plant (A and B). I have identified all the species to species. I want to test to see if there is a statistical difference between the number of times a Fungal species was recovered between the two plant types. I have JMP 17 and thought a generalized linear model would work with plant type and species and their interactio...
Nkleczewski

Discussions |
Nov 27, 2023 9:56 AM

2322 views | 6 replies
how to get a type 3 fixed effects test table

Does anybody know how to get a type 3 fixed effects test in JMP using the Fit Model option? I have a continuous response variable and a categorical predictor. I need a table that lists the denominator degrees of freedom for the F value. It should be a table that comes with the name Fixed Effect Tests. Please help!
aczura

Discussions |
Nov 27, 2023 8:59 AM

914 views | 1 replies
Design space for 4 variables

We designed an RSM model for the optimization of 4 variables that are used as a combination. Once the results are obtained how do we obtain the design space (sweet spot) for all 4 variables together? Please help. Many Thanks!
Amp

Discussions |
Nov 27, 2023 8:01 AM

1652 views | 4 replies

Previous
Next

Latest Discussions

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

Discussions |
Nov 26, 2023 1:38 AM

998 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

Discussions |
Nov 21, 2023 8:48 PM

833 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

Discussions |
Nov 21, 2023 9:08 AM

788 views | 0 replies
Choice platform, analysis of discrete choice: random parameters logit analysis?

Hi there,I have a question concerning the choice platform. I have conducted a discrete choice experiment and analysed it using JMP. I have the choice profiles dataset, and the choices run (or responses) on another. I have done my analysis, and it bears interesting results.A colleague suggested performing a random parameters logit analysis. Is it possible to do it in JMP? How does it differ from th...
gav2013

Discussions |
Nov 17, 2023 8:07 AM

751 views | 0 replies
Caution: Places where Jmp does something unexpected

Definitely, JMP is Not a Spreadsheet . And that's great!! Besides this difference, there are other places where Jmp doesn't do/behave/produce what a newbie / innocent Jmp user expects.
If a user knows these issues and the remedies and workarounds - he/she can
a) save a lot of time b) be safe from data loss c) be sure that the results are as expected.

[More Topic Containers like this] Topicdescrip...
hogi

Discussions |
Nov 17, 2023 4:15 AM

1199 views | 0 replies