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the error of lack of fit and analysis of variance

i meet a question when i deal with the problems in Design and analysis of experiment.this is a two-level full factorial design with 4 center points.in my opinion，the error in lack of fit is same to the error in analysis.but i dont get the same result in this report.here are relative data and analysis report： and here is the solution in this book‘s solution manuali cant get the same result
ZHANDOUJI

Discussions |
Nov 6, 2024 10:19 PM

1921 views | 4 replies
How to create a "revolving" x-axis in JMP?

Curious if there's even a way to do this in JMP.... I need to modify my x-axis to where I start off with an arbitrary number (ex. -77), increases to say, -111 in the middle of the axis, then returns back to -77. The problem I'm having is that my data includes multiple configurations and occasionally, within one configuration data set, I'll have the same x-value even though it's two separate data p...
SelectionEagle6

Discussions |
Nov 5, 2024 1:47 PM

1790 views | 2 replies
Augment DOE

Hello, I am trying to set-up a DOE with 5 variables. Some of the combinations are not allowed, and for a regular DOE, I can remove them from consideration using linear constraints. However, if I start with some data, and then use Augment DOE option, it removes my constraints. Is that a feature of JMP, or is there a reason for it? Why can't I have all the features available in custom DOE in Augment...
DOE_USER

Discussions |
Nov 5, 2024 4:26 AM

2994 views | 5 replies
Screening of factors by Planket burman design

One of my factors is showing a p-value greater than 0.05 but in the half-normal plot, the factor is showing significance. What should I consider in the optimization? Should I take the p-value into consideration or a half-normal plot? Kindly explain in detail. Help me out.
peddinti_vasu

Discussions |
Nov 5, 2024 1:01 AM

751 views | 1 replies
Gauge R&R interpretation when accounting for Crossed effects

The MSA used to calculate GaugeR&R recommends selecting Crossed as the Model type. This is a slightly different method compared to evaluating just the Main effects of Appraiser and Part which many spreadsheets and tools use to calculate Gauge. I understand the concept of crossed effects, but I'm having a difficult time understanding how the crossed variance calculation is made (i.e. if I want to h...
DSchweitzer

Discussions |
Nov 1, 2024 11:51 AM

1639 views | 3 replies

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Latest Discussions

How to create a "revolving" x-axis in JMP?

Curious if there's even a way to do this in JMP.... I need to modify my x-axis to where I start off with an arbitrary number (ex. -77), increases to say, -111 in the middle of the axis, then returns back to -77. The problem I'm having is that my data includes multiple configurations and occasionally, within one configuration data set, I'll have the same x-value even though it's two separate data p...
SelectionEagle6

Discussions |
Nov 5, 2024 1:47 PM

1790 views | 2 replies
Screening of factors by Planket burman design

One of my factors is showing a p-value greater than 0.05 but in the half-normal plot, the factor is showing significance. What should I consider in the optimization? Should I take the p-value into consideration or a half-normal plot? Kindly explain in detail. Help me out.
peddinti_vasu

Discussions |
Nov 5, 2024 1:01 AM

751 views | 1 replies
Gauge R&R interpretation when accounting for Crossed effects

The MSA used to calculate GaugeR&R recommends selecting Crossed as the Model type. This is a slightly different method compared to evaluating just the Main effects of Appraiser and Part which many spreadsheets and tools use to calculate Gauge. I understand the concept of crossed effects, but I'm having a difficult time understanding how the crossed variance calculation is made (i.e. if I want to h...
DSchweitzer

Discussions |
Nov 1, 2024 11:51 AM

1639 views | 3 replies
DOE with dependent factores

I'm designing a DOE and decided to use the software. My DOE is made up of 6 factors defined as:layer thickness -> 0,03 and 0,06 mmLaser power -> from 100 to 400 WScanning speed -> from 400 to 1000 mm/sDistance scanning -> from 0,05 to 0,2 mmTemperature -> 0 and 200 ºCStrategy type -> chess and stripesHowever, factor 1, 2, 3 and 4 are by related by the following equation:Ev = 2/(1*3*4) and the vari...
StandardOkapi62

Discussions |
Nov 1, 2024 3:55 AM

2513 views | 7 replies
Augment Design not respecting Covariate Factors

I am screening a reaction using a custom design generated 6 continuous factors and 2 covariate factors, with 1 continuous factor set to be hard to change, 3 whole plots, 24 runs. I have already run 8 reactions, and the hard to change factor (temperature) is easier to change than initially thought. So I want to change the design to one that has more power for predicting temperature effects whilst k...
DecilePlatypus

Discussions |
Oct 30, 2024 9:10 AM

1417 views | 3 replies

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Latest Discussions

How do I replace a prediction expression in a fit model with a specific expression?

Hi, I am completing a DOE and I have ran a fit model using the JMP software to define a design space based on desirability of certain variables, however one of the desirability variables is a simple ratio of two of the construct model effects, however when running the model, the model is defining its own prediction expression for this variable rather than using the formula in the data table. Does ...
supermackie93

Discussions |
Oct 24, 2024 5:40 AM

667 views | 0 replies
How does AICc criterion and Combined rules interact in Stepwise Fit Platform?

As an entry-level user of JMP but with a bit of statistical knowledge. I encountered with a problem when trying to use the stepwise fit platform to develope a regression model for my DoE dataset.

I read the JMP help book and understand how combined rule applied to p-value based stepwise regression (a joint F-test and another partial F-test of interaction effect when added precedent main effects). ...
Yun

Discussions |
Oct 15, 2024 10:52 PM

755 views | 0 replies
latin hyper cube

Hi there,

I am attempting to run latin hyper cube with three continuous and one categorical factors, but the option is not available except for fast flexible filing design; can anyone assist me with this? thanks in advance
H6Habib

Discussions |
Aug 14, 2024 1:58 PM

756 views | 0 replies
Creating DOE (and fitting) for non-linear response

Hello, I am still new to JMP but I'm trying to determine the best way to model a non-linear system (generating DOE + model fitting). Context: Long story short, I have a large experimental space that I am trying to model (10 discrete variables + 10 continuous variables). Before I jump into my full experiment I'm working with a subset (1 discrete variable + 5 continuous variables) to make sure I'm m...
EndogenousCame1

Discussions |
May 20, 2024 1:19 PM

1051 views | 0 replies
Robust vs. Non Robust Response Screening/ Categorical Outliers

Hello! I appreciate your help in advance! I am currently trying to figure out the proper way to analyze my data! I had used the DOE feature of JMP to create this fraction factorial of 24 runs for m experiment. The goal is two screen which categories have the most effect on the success rate. I had initially use the response screening option to analyze my results, when I did that none of my values...
MedianPuppy4982

Discussions |
May 14, 2024 7:56 AM

921 views | 0 replies