Chi Square test, Bonferroni correction
Is there a way to perform Benforni correction or any other post hoc test after 5 x 5 Contingency Table Chi Square test on JMP?
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view all learning resourcesIs there a way to perform Benforni correction or any other post hoc test after 5 x 5 Contingency Table Chi Square test on JMP?
Does anyone have any tips for making a table faster? I'm working with about 300M rows and I'm just wondering if there are any tips for making it not have to work as hard. For instance, I tried turning a few condition columns (valued 1, 2, 3, 4,...) from character to numeric thinking that ints would be smaller than chars and it actually made the table slower and bigger. Are some data/modeling typ...
I am trying to import multiple excel worksheets using the excel wizard. The data is a primarily numeric with some character data. The rows that have character data usually have < or > symbols. These cells show as no data when imported into JMP. How can import the rows as characters so they are visible in the JMP table?ThanksTS
Hello all,I am not able to find problem why it is not showing title name according to the variable "a1". Please find my script below.dt1 = open("F:\pushpendra\jmp\HIPO_RintCalculation.jmp");dt2 = open("F:\pushpendra\jmp\wafer.jmp");for(i=1,i<=nrow(dt2),i++, a1= Eval(column(dt2, 1)); biv=dt1<<Bivariate( Y( :Site_Value ), X( :Name( "Length(um)" ) ), Fit Line( {Line Color( "Red" )} ), where( :W...
I have read 350 .jpeg images into a JMP data table with the actual images in an Expression column. Can I then use Image Processing (e.g John Ponte script) on the images contained in the expression column?
Hello all,I am not able to find problem why it is not showing title name according to the variable "a1". Please find my script below.dt1 = open("F:\pushpendra\jmp\HIPO_RintCalculation.jmp");dt2 = open("F:\pushpendra\jmp\wafer.jmp");for(i=1,i<=nrow(dt2),i++, a1= Eval(column(dt2, 1)); biv=dt1<<Bivariate( Y( :Site_Value ), X( :Name( "Length(um)" ) ), Fit Line( {Line Color( "Red" )} ), where( :W...
I have read 350 .jpeg images into a JMP data table with the actual images in an Expression column. Can I then use Image Processing (e.g John Ponte script) on the images contained in the expression column?
I am attempting to plot responses in X/Y coordinate field. The real field should be a perfect circle, but I only measure the responses at a 28 points at random locations in the field. Is there a way to set the boundaries of the field as the circle (even though no responses are actually measured on the very edge) and to extrapolate the contours to this defined boundary? I know origin can do it. I h...
I need to run the same script in several files. How do I do it without having to change manually the file path each time?How can i create something like a list of files, and run the script on them all, saving those separately?thanks!
Hello everyone!Does anyone know of a way to integrate Visio or Quality companion into JMP so that I can make a flowchart to maneuver through my information more efficiently?Thank you!Rachel Town
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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