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gail_massari

Community Manager

Joined:

Feb 27, 2013

Tip for Saving JMP Reports: Save the Data, too!

If you ever called or e-mailed a problem to JMP Technical Support, you may have been in contact with Duane Hayes. Duane manages JMP Technical Support for SAS. We recently discussed a tip that also may be helpful when sharing JMP reports with colleagues.


Duane: People often send us JMP reports, .JRP files, so we can recreate and solve their problem. They don't realize that the .JRP file is just a script, like the one shown below. To recreate the problem we also need the data table saved as a .JMP file.



Open("C:\Documents and Settings\hayes\Desktop\snapdragon");

Oneway(

Y( :Y ),

X( :Soil ),

Block( :Block ),

Means( 1 ),

Box Plots( 0 ),

Mean Diamonds( 1 )

);



Gail: What should they send you instead?


Duane: Nothing instead. Something in addition. They must also send us the data - the .JMP file. We then save the .JMP file and edit the Open statement in the .JRP file to point to the location where we saved the data file. JMP users need to remember this when sharing reports with colleagues.


Gail: So, what must they do to share report files?


Duane: Users have three options. Option 1: Put the data in a shared directory to which their colleague has access, run the analyses and then save the .JRP (report) file to that same directory. That way, when the colleague opens the .JRP file from JMP, everything will work. Option 2: Send the .JRP file and the .JMP file to the colleague, who saves the .JMP file to a location of choice. In the .JRP (report) file, the colleague then edits the Open statement to point to that location.


Gail: And I bet Option 3 is to create a JMP project.


Duane: Right. This allows users to bundle and share everything related to their analyses, including documents, PowerPoint presentations, animations and more. Richard Potter described this in detail in his blog Projects in JMP 7. Projects are really in line with the spirit of JMP, which lets you build upon one analysis with another, or subset data, without having to start the analysis anew. Projects are a great way to leverage work you have already done and make it accessible to someone else for review or the next step in the analysis.