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Hello, I am looking for an example of how to connect to oracle data with JMP 16 via oci. I have seen notes indicating that it is a far faster connection.
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view all learning resourcesHello, I am looking for an example of how to connect to oracle data with JMP 16 via oci. I have seen notes indicating that it is a far faster connection.
I am having trouble connecting a line through points of different groups. I have my data coloured according to the depth interval each sample was taken at. Previously (about a year ago) I would just right click on the graph, go to 'add' then 'line' and would achieve the result I wanted, but I have since updated JMP and it is no longer working this way. I am only able to plot the mean, min, median,...
I am using JMP 19.1.0 with this fantastic function of "Columns manager". I was wondering if there is a way to add prefix to our columns names for all of them at once? I seem to not find any option in the menus that performs this automatically. Thanks!
Hi JMP Community, I'm building a JMP add-in that creates windows, stores global variables, and calls functions. Everything works fine with a single instance — but when the user launches the add-in twice, the two instances share the same global scope and variables start conflicting (one window overwrites the other's state). I initalized my script with Names default to here(1), I have even created m...
Hello, I am looking for an example of how to connect to oracle data with JMP 16 via oci. I have seen notes indicating that it is a far faster connection.
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?
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...
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