Fitting Different Slopes Common Intercepts
Hi - i am unsure how to fit a regression model with different slopes BUT a common Interecpt. Assume Y=response, GROUP (2-levels), TIme (Covariate) Kind regards, Vince
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view all learning resourcesHi - i am unsure how to fit a regression model with different slopes BUT a common Interecpt. Assume Y=response, GROUP (2-levels), TIme (Covariate) Kind regards, Vince
Having discussed the JSL 'Vec Quadratic()' function with a computer scientist, we both agreed we didn't understand the exact workings of it. I've also checked the Scripting Index and Documentation Library: The issue came up with the attached example of prediction and confidence interval calculation, where this function is used. Specifically, what none of use can read is the part after the covar...
Hi community, I have conducted a Plackett-Burman DOE for 9 continuous factors measuring 3 different responses (viability, proliferation, gene expression). For one of the responses (gene expression), I actually measure the response three times for each treatment - so these are not independent replicates. I would like to add a random effect in the model that JMP fits for this response. How can I do ...
I have a bunch of JMP add-in's which when fired displays a UI window with options for user selection. Pressing the final OK, associated scripts fetch data from data base, does calculation on the data and finally displays the final data table(s) and associated charts. While all this is happening, JMP only shows the hourglass if the mouse cursor is placed on any existing JMP window, otherwise not. D...
I am currently writing my bachelor thesis and am not that experienced in JMP or regression in general. I was wondering how the formula for the attached regression would look? I know you can make a predection expression but I need to set it up in more general terms.
Like: beta0+beta1*X1+beta2*X2 I hope it makes sense and that someone can help.
Hi - i am unsure how to fit a regression model with different slopes BUT a common Interecpt. Assume Y=response, GROUP (2-levels), TIme (Covariate) Kind regards, Vince
I am currently writing my bachelor thesis and am not that experienced in JMP or regression in general. I was wondering how the formula for the attached regression would look? I know you can make a predection expression but I need to set it up in more general terms.
Like: beta0+beta1*X1+beta2*X2 I hope it makes sense and that someone can help.
I have a very large and complicated data set. When I run a fit model, I see an effect by one of my variables that are continuous. However, since I cannot run this through a bivariate analysis, I would like to try to run an analysis to see if the change in one variable is correlated to the change in the other value. How do I do this?
Multi downloads with JMP 17 get downloaded files, but all files with the same name, and only one last downloaded file.Thanks!
I am running a 2x2 full factorial study and only looking to model main effects and one-way interactions. As shown below, I have a main effect that appears as less significant than the one-way interaction that contains it. I know the interaction factor is also itself insignificant, but in the past I've seen it as significant. In the past i've just removed the insignificant interaction factor before...
We want to investigate the way which is suitable for searching predict and forecasting of medical region.
For example, using stepwise parameter analysis, partial results of marketing will be used by data driven.
Moreover we want to develop marketing extensive predictive analysis from marketing perspective.
what is the reason for this warning - what does it mean?
(JMP 17, MacOS) I have a JSL scripts that creates multiple graph builder charts, but in some of them, and it's not repeatable always - some of the x groups are getting different height, causing also the data plotted to be shifted. Another issue - is that I can't set the X group lables text to be 90 degrees rotated to fit long strings without making the chart too wide. This is supported for X var...
Hi everyone, I'm currently engaged in a process development project with the goal of 1) minimizing the total process time while 2) maintaining or enhancing the yield. This objective is similar to viral vector production case, where maximizing virus yield in the shortest production time is crucial. After consulting with subject matter experts, we've pinpointed 10 factors for potential modification....
I have a model which is shown in the picture. RMSEA is at .16 and not improving. I need to play with the latent variables but there are too many variables and combinations. I need pointers on how I can improve the RMSEA
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