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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 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, I downloaded LearnBot v1.1 and managed to run it on JMP Pro 19.0.1 but there is no response generated. Has anybody ran into this error and solve it?
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.
Hi, I downloaded LearnBot v1.1 and managed to run it on JMP Pro 19.0.1 but there is no response generated. Has anybody ran into this error and solve it?
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...
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.
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?
I have a hierarchical cluster with ~ 2700 Y -rows and 100 columns of data. When complete I want to color map the clusters to two other columns in the data. I can do so but then the questions start. 1. One color map is to identify the rows of data by a type (in this case a tissue type). That accurately displays as a color for each tissue but, how do I attach a legend to the visualization for t...
[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...
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