Formula needed to remove non numeric from a numeric field
Is there a formula to remove a non numeric from a numeric data field ?

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The "Windows Specific" section of the JMP Preferences provides a setting for determining whether or not to auto-hide the menus and toolbars, with "Based on Window Size" being the default setting. But is there a property I can set to override this setting for a specific window? I can't see one whose name suggests that it might perform that function within the list of properties for a New Window, ...
Hi,I am using JMP to do Response Surface methodology (RSM). When using the response profiler and desirability functions, I will select the maximize desirability and JMP provides the recommended variable settings to maximize d. My question is what method does JMP use to actually solve this multi-objective optimization problem? I can't find any documentation that states the general algorithm that ...
I came up with a simple manual way to get the current version (not including the revision, e.g. 12 vs 12.2.0) of JMP for my scripts which send emails:<br><pre><code>version = word(-1,Get Path Variable("HOME"),"/");</code><pre><br>This obviously returns:<br><pre><code>12</code></pre><br>I was curious to see if anyone knew of a built-in method to get this as well as at least the revision, but possib...
Hello,I can't seem to connect to an MS Access database in JMP 10. The script below works fine in JMP 9. The error I get is, "[Microsoft][ODBC Driver Manager] The specified DSN contains an architecture mismatch between the Driver and Application". Do I need to use a different driver ID?Here is my script:dt = Open Database( "DSN=MS Access Database;DBQ=T:\Applications\Executables\Temescal Particle...
Is there a formula to remove a non numeric from a numeric data field ?
I'm new to JMP so sorry if this is simple. I've read the user manual over and over and cant find the info I need.I want to find parameters for a custom distribution ideally, or at least use the exponential distribution. Then I want to use it to get MLE for some custom models. I found that I can get MLE with exponential distribution using the "fit model" option and "generalized regression", but I h...
Hi,I've managed to use the Number Edit Box() function combined with Char() to retrive strings from a column in order to delete specific rows from my tables. However my code does not work for all situations, why?Is there another Edit Box for strings? Does anyone have another sugestion for entering strings (through a edit box), comparing each value in a specified column to that string and if match/n...
Hello, I am trying to figure out how to adding the state Name label to the graphic builder.. I am using the following example.. Example of Creating a Map in Graph Builder
I am using graph builder with a large data table to plot part performance using variables X and Y to create individual plots for each part. The data table is: ~824 KB, ~14.5M rows, containing data for 726 different parts. Each part has ~20k data points that are used to generate each plot. Using the below Graph Builder script yields plots for ~100 individual parts. Graph Builder( Size( 570, 500...
Hi!I was wondering if anyone already tried to work with Co-Kriging, using JMP together with Matlab. As JMP only fits Ordinary Kriging Models (Gaussian Process with Gaussian Correlation Function), I would like to send data (generated with Space Filling JMP Platform) from JMP to Matlab, fit the models there (Matlab), and bring the MODELS back to JMP, to use inside Profile Platform. Do you have any e...
I'm trying to interpret the relative contributions of my variables in a discriminant function analysis of chemical data for three groups of rocks. In a stepwise, linear, common covariance discriminant function analysis I'm able to generate non-overlapping 95% confidence ellipses for my three groups with no incorrectly assigned data points using 6 variables. My understanding is that the scoring c...
A former classmate of mine from Graduate School has recently published a paper on Generalized Segmented Distributions. Utilizing this method, the distribution can approach any continuous density function of arbitrary form. The method is particularly effective in fitting data with sufficient observations that are skewed and/or multimodal. The paper can be found here:The General Segmented Distrib...
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