Doe adding data to the existed doe runs
Hi,i have designed and run custom doe. in addition i have results with the same parameters that i want also to put inside the fit analysis. is there any option to to that?thanks
Find courses, tutorials, and lots of other methods of learning JMP.
view all learning resourcesHi,i have designed and run custom doe. in addition i have results with the same parameters that i want also to put inside the fit analysis. is there any option to to that?thanks
I can't believe I've never asked this before, but does anyone know if I can give a script just what macro to run on what I have selected?
Like say I want to do response surface on "Age" and "weight"
Names default to here( 1 );
dt = open("$SAMPLE_DATA\Big Class.jmp");
dt << Clear Column Selection();
dt << Select Columns({"weight", "age"});
fm = dt << Fit Model(Y(:height),
// do something ...
vince_faller
I have a custom design in the attachment which has 5 continuous factors, one categorical factor with three levels, this design has 36 experiments in 6 blocks due to equipment limit. The results in this file are simulated instead of actual results. I used the default model, and then remove terms which PValue >0.05 one by one in the effect summary, and finally I got a model. However, in the predicti...
Hi!I am currently optimising an experimental procedure and have opted for a custom design with 4 continuous variables with 2 levels each and a single 3 level-categorical variable. I have included centre points (replicated) to allow for some analysis of variance and the model is generated with RSM interactions not going beyond 2 factor interactions. The residual by plots prove to be very useful but...
When creating DoEs, each column is usually a mixture of 2 or 3 different values (high and low values, and sometimes a center value). To better illustrate the DoE setup to myself and my coworkers, I manually color the cells in each column. The high values are colored red, the center values are colored green, and the low values are colored blue. It would be beneficial to automate this coloring proce...
Hi,i have designed and run custom doe. in addition i have results with the same parameters that i want also to put inside the fit analysis. is there any option to to that?thanks
I have a variety of categorical factors that I am trying to fit in the Stepwise platform. For example, "Does the product have a FRAME, LINER, BAFFLE, INSULATION, etc.?" These are listed in the stepwise menu as Frame{Y-N}, Liner (Y-N), Baffle{N-Y}, Insulation{N-Y}, etc. Why are some contrasts listed as {Y-N} and others listed as {N-Y}? This is really slows my analysis down as I build a model bec...
Hi, I'm now studying the ANOM for variances. I don't understand why it needs at least three groups to start the comparison. Does anyone know the reason behind this? Thank you!
Dear community, Just a quick question considering the formatting of the "No choice" option in JMP 17. If we have Option A, Option B, and Option C, where Option C = none of these options. Do we give three rows of data to JMP? Or would we give two rows of data in binary format, and when both option A = 0 and Option B =0, it will use this information that no option was selected? In the images below...
Hi Community,I created a 16 run RSM (Custom Design) with 1 categorical and 4 continuous factors. Early in the execution I was forced to change several factor levels for practical reasons. I restarted and completed all 16 runs at the new levels, recording on paper all the changes. When I updated the JMP run file and performed Analyze-Fit-Model, the model appeared to retain the previous factor level...
Related to the previous post How to get "Effect size" column with Response Screening functionality , I am also wondering how effect size in the response screening platform is calculated, specifically for categorical Y vs continuous X. JMP help shows: "When Y is categorical and X is continuous, the effect size is the square root of the average ChiSquare value for the whole model test." Running b...
We want to rank the preference of population of animals for n different recipes. Recipes are tested in two-choice assays, where groups of over 100 individuals can choose one choice or the other. Preference for the group is computed as a preference index, a continuous variable that is between -1 and 1. Is there an experimental design that would help reduce the number of combinations to test in ord...
这是个异想天开的问题: 大家都说股票价格的未来走势预测是艺术、不是科学。
但我还是想看看JMP具体哪里模型能用于这方面。 我尝试过使用决策树、随机森林、xgboost。
还使用了DOE制作了均匀试验表来进行分类统计。
虽然这不是一个很好的问题、但还是非常期待专家们的回答。非常感谢!
In Biology (Plant Sci. and Agriculture) usually we have sub-sampling data for replicates. It's very difficult to analyze these data in commonly use Stat S/W (SPSS/Minitab) because MSS(Error) is calculating wrongly. Without taking averages of samsamples, the easiest S/W for this is using JMP and I need some assistance for this. I've found very useful Youtube video about subsampling in JMP (CRD: S...
Una introducción práctica para nuevos usuarios, usuarios con licencia de prueba o cualquier persona...
JMP Live offers JMP users collaborative analytics software to share analyses from JMP to a secure, c...
French Mastering JMP Transformez des données brutes en informations exploitables grâce à l’éditeur d...
EMEA Mastering JMP Experimenting with microbial and mammalian systems brings a multitude of data; bi...