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Dec 8, 2015 10:26 PM
(7619 views)

I have 10 sets of data. Each set having 54 values ranging from 1 to 15. My aim is to compare the 10 sets and say that set 1 is similar to set 8 than other sets etc. Can anyone help me how to use JMP software to solve this issue.

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Dec 9, 2015 6:37 AM
(11354 views)
| Posted in reply to message from rajesh_medisett 12/09/2015 01:26 AM

The interactive solution is to:

Open each data table and add a new column called "Set". Rt mouse click on the column header and choose "Column Information". Change the Modeling Type to "Nominal". Then, under the Initialize Data selections, choose "Constant". Inter in a "1" for the first set, a "2" for the second set, etc.

Once all 10 sets have been modified, then go to Tables==>Concatenation. This platform will allow you to put all of the sets together.

When all of the sets are together, then go to . Analyze==>Fit Y by X. Select your measurement variable as the Y Response and the column "Set" as the X Factor.

Using the options under the red triangles in the displayed output, you can select "Means/Anova" and "Compare Means" to get the analyses you want

Jim

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Dec 9, 2015 6:37 AM
(11355 views)
| Posted in reply to message from rajesh_medisett 12/09/2015 01:26 AM

The interactive solution is to:

Open each data table and add a new column called "Set". Rt mouse click on the column header and choose "Column Information". Change the Modeling Type to "Nominal". Then, under the Initialize Data selections, choose "Constant". Inter in a "1" for the first set, a "2" for the second set, etc.

Once all 10 sets have been modified, then go to Tables==>Concatenation. This platform will allow you to put all of the sets together.

When all of the sets are together, then go to . Analyze==>Fit Y by X. Select your measurement variable as the Y Response and the column "Set" as the X Factor.

Using the options under the red triangles in the displayed output, you can select "Means/Anova" and "Compare Means" to get the analyses you want

Jim