JMP19中多Y轴怎么制作
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view all learning resourcesHello, I am interested to understand if anyone has used specific analysis for correlation between viscosity, ethanol, glycerol and sugar profile. If you can recommend the right statistic analysis, will be amazing.
What modeling approach can predict 24‑month concentration from previous degradation data with different initial values?
There is degradation data measured over time (ex. up to 24 months) for several batches/samples.
Each batch starts at a different initial concentration at release, and not all batches are measured at all time points (there are missing observations for later time points). All measur...
Coming from a field, where I only had contact with calibration curves, where only 0,999 is a good fit, I wonder what r2 would be considered good in Mixture dOE Modeling? Are there other values that are important to check if I want to know if I have a good model?
Hello everyone. I have a question related to DOE.
When conducting a Lack of fit test, how should the F ratio be calculated? F=MS residual /MS pure eror or
F=MS lack of fit/MS pure eror. The idea is to compare the model error with the experimental error..
Are the results obtained from the two formulas different? Which result is more reliable and when is it necessary to use each of the two formula...
Hello everyone. I have a question related to DOE.
When conducting a Lack of fit test, how should the F ratio be calculated? F=MS residual /MS pure eror or
F=MS lack of fit/MS pure eror. The idea is to compare the model error with the experimental error..
Are the results obtained from the two formulas different? Which result is more reliable and when is it necessary to use each of the two formula...
I fitted: Y ~ A(Sum) + B(Sum) + C(Sum) + D(Sum) + Subject(&Random) in both JMP SLS (REML) and Python statsmodels MixedLM (REML) on the same data (~14k obs, ~200 levels of A, sparse A×C cross-tabulation, ~120 random subjects). What I observe: All ~200 LS Means for factor A are shifted by a constant ~0.22 (JMP higher)Relative effects and rankings are identical (diff std < 0.001)LS Means f...
Hello, I am wondering how I can calculate a Cohen's d effect size from my mixed model output (attached), especially in the case of an interaction effect? I have seen some online resources saying to use the least squares mean difference divided by the model root mean square error in order to do so for main effects. However, when doing this, I sometimes get an effect size that appears inflated based...
Looking for the Best way to analysis Data when I have Ranges Upper, Mid and Lower for both Voltage and Freq. data. See RED Columns. Guess I could perform a Control Chart or Dist. but like to to see if their is a shift of this many Electrical Devices. Any Suggestions?
Hi everyone, I generated Response Surface Methodology (RSM) graphs in JMP Student Edition for my research work. I need to include these figures in my PhD manuscript, so I require high-resolution images (300 dpi or higher). However, when I export or copy the graphs, the image quality becomes low or blurry. I specifically need contour and 3D surface plots with publication-quality resolution Could an...
Looking for the Best way to analysis Data when I have Ranges Upper, Mid and Lower for both Voltage and Freq. data. See RED Columns. Guess I could perform a Control Chart or Dist. but like to to see if their is a shift of this many Electrical Devices. Any Suggestions?
[Environment]
Version: JMP(r) Student Edition 19.1.0 (914688)
License: For Academic Use Only (Expires: 2027/04/13)
OS: Microsoft Windows 11 Home (10.0.26200.0)
[Inquiry] Regarding the procedure for performing PLS Discriminant Analysis (PLS-DA)
I am attempting to perform a PLS Discriminant Analysis (PLS-DA) using JMP Student Edition, as I understand this feature is supported in this edition. I ...
Why don't all three of these return their unevaluated argument like the first one does? Is there a way to make the last two work like the first? Inside the function, e is still unevaluated, this seems to happen when the result is returned.
names default to here(1);
ns = New Namespace("n");
foo = function({e}, Name Expr(e) );
ns:bar = function({e}, Name Expr(e) );
show( foo( expr( notavar...
For categorical responses Partition has the response rates that are slightly biased away from zero to avoid having attributed probabilities of zero. I would like to know how to calcurate the biased probabilities.
Hi, I am trying to analyze calcium transient data from cardiomyocytes. I moved to JMP because Prism cannot do a two way ANOVA on nested data but I cannot figure out how to run this analysis. I have 4 experimental groups (WT SHAM, KO SHAM, WT OVX, KO OVX) across two factors (genotype (WT/KO) and surgery (SHAM/OVX)) but I don't know how to add these variables prior to running analyses. For each anim...
Duration: 90 minutesRegistration: FREEHosted via Zoom This online workshop is for beginnin...
Este seminario web se presenta en español. Tanto si acaba de descargar la prueba gratuita de 30 días...
(Présenté en français) Tips and tricks: gagnez du temps et optimisez vos analyses avec JMP Personna...
EMEA Mastering JMP in English Gain analytical speed: develop an experimental strategy for maximum im...