OC Curve
Hi Does anyone know why I get this error message when I am using OC Curve function in JMP 17 and trying to change AQL and RQL values?
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view all learning resourcesI was analyzing the process capability of a large data set to understand its PPM, and I noticed that under "nonconformance" tab, there are the following column names: Observed PPM, Expected Within PPM, and Expected Overall PPM. What is the difference between these PPM?
I am plotting CD vs. Depth plot, for total 8 sets in the example (A-a, A-b, B-a, B-b....).For each Test A~D, there are 2 different 'Location' a and b. I'd like to pick 2 set specifically and create a delta plot; for example, If I select A-a and B-a, CD values are subtracted at each depth and CD vs. Depth plot should be generated. Is this something I can do at JMP? I was trying to do this in excel ...
Hi,in the Fit Model dialog, you can fit multiple response variables (Y) and test the effect of multiple predictors. I have noticed that you can do this both using “Standard Least Square fitting” and choose to fit your responses together, or using a MANOVA. The results of the two approaches are quite different.My question is, what is the difference of interpretation of the two models? Thanks in adv...
Hello, in the multivariate analysis I have tried obtaining partial correlation, but I noticed some values are missing from the partial correlation matrix (see attachment).What does an empty space mean in this case?
I was analyzing the process capability of a large data set to understand its PPM, and I noticed that under "nonconformance" tab, there are the following column names: Observed PPM, Expected Within PPM, and Expected Overall PPM. What is the difference between these PPM?
I am plotting CD vs. Depth plot, for total 8 sets in the example (A-a, A-b, B-a, B-b....).For each Test A~D, there are 2 different 'Location' a and b. I'd like to pick 2 set specifically and create a delta plot; for example, If I select A-a and B-a, CD values are subtracted at each depth and CD vs. Depth plot should be generated. Is this something I can do at JMP? I was trying to do this in excel ...
Hi,in the Fit Model dialog, you can fit multiple response variables (Y) and test the effect of multiple predictors. I have noticed that you can do this both using “Standard Least Square fitting” and choose to fit your responses together, or using a MANOVA. The results of the two approaches are quite different.My question is, what is the difference of interpretation of the two models? Thanks in adv...
Hello, in the multivariate analysis I have tried obtaining partial correlation, but I noticed some values are missing from the partial correlation matrix (see attachment).What does an empty space mean in this case?
Hi,
I have a question regarding Generalized Linear Mixed Models (GLMMs) in JMP pro. Most statisticians consider it inappropriate to use F-tests or t-tests to evaluate predictor contributions in GLMs or GLMMs with binomial errors. This is because F- and t-tests are based on sums of squares, which assume normally distributed residual errors.
While using a logit link function helps linearize the relati...
I'm trying to run R code in JMP to create a plot. I succeeded in importing the plot in png format, but failed to adjust the size of the plot.
I can adjust the "plot_from_R" in png format with the set size(); function in jsl, but it is not proportional and distorted.
How can I import plot_from_R in the size I want?
R Init();
R Submit(
"\[
windows(300,100) #it doesn't work
plot(function(x) dnorm(
...
from: https://www.jmp.com/support/help/en/18.1/?os=win&source=application#page/jmp/advanced-expressions-macros-and-lists.shtml# If you assign the expression x+y to a, quoting it as an expression with Expr, then whenever a is evaluated, it evaluates the expression using the current values of x and y and returns the result.
Exceptions are the utilities Show, Write, and Print, which do not evaluate e...
This works: Extract Expr(:height << set name( "new" ), :height );
But this one doesn't *):Extract Expr(myDataTable:height << set name( "new" ), myDataTable:height );
Fortunately there is this dirty trick of Extract Expr (it automatically resolves every defined variable **) - which allows this workaround:x = Expr( myDataTable:height);
Extract Expr(myDataTable:height << set name( "new" ), x )
*) why...
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