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markbailey

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Jun 23, 2011

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ANOVA from Data Summary

JMP performs the one-way ANOVA in the Oneway and the Fit Least Squares platforms. These platforms start with a data table:

6719_ANOVA from Summary Raw Data.PNG

Here is the result from the Oneway platform:

6718_ANOVA from Summary Oneway Platform.PNG

If the data is not available but a summary of the data is available. This script will perform the ANOVA from the summary. The script allows you to manually enter the summary or accepts the summary from a JMP data table. Let me show you how each way works. Let's enter the summary from a data table first. Here is the summary of the same data, as required by the script. I used the Tables > Summary command to obtain this result:

6720_ANOVA from Summary Tables Summary.PNG

Now simply open and run the script. Select Enter as data table and click OK:

6721_ANOVA from Summary Dialog.PNG

In this case a second dialog opens so that you can assign data columns in the summary table to analysis roles for the script:

6722_ANOVA from Summary Dialog.PNG

A Oneway platform opens when you click OK that is identical to the one seen above.

It is also easy to enter the data manually without first creating a data table. Simply run the script, select Enter manually, enter the number of treatment levels (4 in this example), and click OK:

6723_ANOVA from Summary Dialog.PNG

A series of dialogs appears to accept the summary information for each treatment level:

6724_ANOVA from Summary Dialog.PNG

When the information for the last level is entered, a Oneway platform appears that is identical to the one seen above.

The data table used as an example here is attached with the script so that you may practice the steps outlined above and verify the operation of the script.

Comments

Hi @markbailey 

this is very usefull thank you.

is ther a quick way to use this to perform a two way anova from summary data?

thanks!

Ron

markbailey

Ron,

 

Yes, there is a way. I found this discussion on Stack Exchange.

Hi @markbailey

thanks!

i managed to to a "hack" in which i first concatenate the two categorical variables, then run your script, split the categories back and run the two way anova. i have tried this starting with detailed data and it all results are perfectly consistent after aggregations.

 

Ron

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