Looking to create a data output table from an comparison of means analysis that shows the mean of each atrribute by sample with p-value to show if the mean values are significantly different. How can I do that in JMP? I can generate a table using tabulate but cant seem to add p-value which is generated during hte one way anova analysis
If you go to
You can enter in all of your Y variables, and you X variable(s) and it will generate a data table with your results, including the p-values
thanks for the suggestion. Is there a way to access the output table of Response Screening from jmp script?
I would like to iterate through the table and pick up all the row numbers that have a RSquared > 0.95.
This output table doesnt seem to be the current data table.
Here is an example of how to do that taken from the Scripting Index
Help==>Scripting Index==>Response Screening==>Get PValues
Names Default To Here( 1 ); Open( "$Sample_Data/Probe.jmp" ); obj = Response Screening( X( :Process ), Y( Eval( 8 :: 394 ) ), Save Outlier Indicator ); dtOut = obj << Get PValues ; show( dtOut );
dtOut << Select Where( :RSquare > .95 );
I modified it very slightly, to add the pointer to the "PValues" data table which you can then use to do the selection of the RSquare values. I do recomment that you examine the FDR Logworth values. When doing so many tests, the FDR Logworth will help you determine which of the tests are real, and which are due to alpha slipping.
You could create a correlation matrix using
or use Prinicpal Components analysis
Analyze==:Multivariate Methods==>Principal Components
The procedure that you are looking for is called 'variable clustering.' The Cluster Variables command in the Analyze menu will launch the JMP platform for this purpose.
Please see Help > Books > Multivariate Methods > Chapter 11: Cluster Variables for more information.
Use the Oneway platform. Start by selecting Analyze > Fit Y by X. I assume that you have a numeric variable stored in a data column using the continuous modeling type for the Y role. I also assume that you have a categorical variable in a data column using the nominal modeling type. Put that column in the X role.
Click the red triangle next to Oneway and select Compare Means > Tukey-Kramer. You will find the answer several different ways. The last report shows what you want. Remember that you can right-click on this last report and select Make Into Data Table if you need to do something else with results.
Start with Fit Y by X using sample as X and length, width, height as Y.
Then, in the report, hold the Ctrl key (Windows) or Command key (Mac) down and choose Compare Means -> All Pairs, Tukey HSD.
Then in the report table that contains the p-Values, right click and choose Make Combined Data Table.
That gets you one data table with all the p-values.