About joberi

joberi · ‎11-21-2016

Hi Dave, so you got 6 center points? That eventually means I am doing something different, doesn't it? Since it is not a complicated thing to make this design, I wonder what I am doing worng - any comments appreciated! Concerning the manual addition of center runs: Thanks for your explanations!

joberi · ‎11-18-2016

Hi Lou, thanks for your answer. Well actually adding manually is my workaround, but I was wondering, if the design would be somehow "better", if JMP already includes my center points up-front. Or is that anyways not the case? Concerning the Design itself - yes, I also use Defnitive Screening Designs (and I like them), but in this particular case - I know that the factors most likely will be significant and I want to avoid iterations. Best regards

joberi · ‎11-18-2016

So that is it - first, I go "Custom Design", I put in 7 contiuous factors, click ok, then click "RSM", add a tick to the blocks and type 24 into it, add "6" to the Center Points and then specify 48 for the Number of Runs.Then make design and get the table as shown. Only 3 center runs are there now. Thanks!

joberi · ‎11-18-2016

Hi Louv, thanks for your answer - that was just a mistake when I copied it in. It actually only appears that the center points don't come up if I have Blocks. Best regards

joberi · ‎11-18-2016

just a quick add on: it seems to be related to the sequence of ticking boxes (also concerning blocks) and adjusting the number of runs. I just tried once more and realized that under particular sequence, it seems to work. Which one that is, I could not find out and would appreciate guidance. Thanks!

joberi · ‎11-18-2016

Hi All, I just tried to design an I-optimal Experiment with 7 continuous factors with 48 runs. Within I'd like to have 6 center points. However, JMP does simply not include those, despite me entering those explicitly in the "Number of Center Point" field. Any ideas? Thanks!

joberi · ‎10-13-2016

Hmm - ok - and what can I do now? Any workaround? Thanks!

joberi · ‎10-13-2016

Attached now the file - should be self explanatory, just run the two models and check the VIFs. I am actually wondering, if it is related to the coding somehow. If using the "transform" option, I cannot code. Thanks!

joberi · ‎10-11-2016

Hello, After execution of an experiment (CCD), I realized that it makes sense to log-transform one of the factors (I do it in the fit model dialog), which eventually gives a decent fit. However, the linear and square term have a high correlation then (VIF = 56). When manually transforming this factor, the VIF is low (VIF < 2). Can someone explain to me how this can happen and how I can avoid it? Thanks!!! Joachim

joberi · ‎05-04-2012

Thank you, I think approach 2 is a great idea for my case. 🙂

joberi · ‎05-03-2012

I want to design an I-optimal response surface design with one factor having the center run not in the center. Normally one only sets -1 and 1 and the center is automatically defined in the middle. Is there a possibility to interfer at that point? Thank you.

joberi · ‎03-20-2012

I have now a correlation of one estimate with the estimate of the intercept. Does it matter? How can this be explained? When does this happen? And can it be avoided?

joberi · ‎11-28-2011

I don't know if I really understand your problem, but after a linear fit (also any other) in a scatter plot you get a table with parameter estimtes. I can right-click on the table an chose "make into table" which makes a new JMP table.

joberi · ‎11-28-2011

Thanks. It would just be great, if Monte-Carlo would also be mentioned in the user guide in the section for the simulator. Cheers

joberi · ‎11-23-2011

Hello again, Is there somehow the possibility to color-fill the planes between the contours in the Contour Profiler of a fitted model? It is possible in the Contour Plot so I wonder, why I cannot find it for the Profiler too. Thank you

joberi · ‎11-23-2011

Hello, What is the mathematical basis of the simulation done in JMP (Simulator function? Is it Monte-Carlo or something similar? Is there somewhere a reference around? Thank you.

joberi · ‎11-08-2010

Thanks a lot. Can you give me rough numbers, what high correlation means?

joberi · ‎11-08-2010

What does it mean, if estimates of a least squares fit are correlated. What values are ok, what values are critical? What can be done, if the correlation is high? Thanks.

joberi · ‎08-09-2010

Hi David, Thanks for the comprehensive answer. The MANOVA approach appears to me very reasonable, I, however, don't know, how to get predictions or find optimum solutions from that. That means I have about 3-4 sampling time points and the response is clearly depending on time. There is also an interaction between my factors and time (which is significant in the MANOVA). So I think I should not simply average the points over time. Ideally I would just use time as a factor, identically to my other factors. From that I could also find the optimum "harvest" time point, also depending on the others factors settings.

joberi · ‎07-29-2010

Thanks Lou V, I usually do that, but I think I lose some information and, in addition, depending on the number of samples I draw, I have quite a few responses, which makes it difficult to judge on the best settings.

joberi · ‎07-28-2010

I run a factorial experiment in reactors with e.g. pH and Temp as factors. Additionally, I want to take time as a factor, because I typically sample over time and I'd like to use this information too in my evaluation in jmp. To me, this appears not to be not fully randomized but rather a repeated measurement kind of design. As far as I have seen, repeated measurements are typically done with individuals, but they are not defined by different factor settings. How is such a design correctly modelled in jmp?

Date Registered	‎06-23-2011 08:01 AM
Date Last Visited	‎11-21-2016 12:39 AM
Total Messages Posted	21

Online Status	Offline
Date Last Visited	‎11-21-2016 12:39 AM

Re: Custom Design - I-optimal - center points not added

Re: Custom Design - I-optimal - center points not added

Re: Custom Design - I-optimal - center points not added

Re: Custom Design - I-optimal - center points not added

Re: Custom Design - I-optimal - center points not added

Custom Design - I-optimal - center points not added

Re: Transformation of factor (in fit-model dialog) results in high VIF

Re: Transformation of factor (in fit-model dialog) results in high VIF

Transformation of factor (in fit-model dialog) results in high VIF

Re: Center point not in the center

Re: Custom Design - I-optimal - center points not added

Re: Custom Design - I-optimal - center points not added

Re: Custom Design - I-optimal - center points not added

Re: Custom Design - I-optimal - center points not added

Re: Custom Design - I-optimal - center points not added

Custom Design - I-optimal - center points not added

Re: Transformation of factor (in fit-model dialog) results in high VIF

Re: Transformation of factor (in fit-model dialog) results in high VIF

Transformation of factor (in fit-model dialog) results in high VIF

Re: Center point not in the center

Center point not in the center

Re: Correlation of estimates

JMP 7: Convert slope and intercept from regression analysis to table variables

Simulator

Contour Profiler

Simulator

Re: Correlation of estimates

Correlation of estimates

Re: Repeated Measurments from Reactors

Re: Repeated Measurments from Reactors

Repeated Measurments from Reactors