Please consult the experts: Are there any examples of how "Freq" plays a role in the decision tree model of "Partition"? I searched for the script and couldn't find it. Thanks!
Create a simple example to see. I created a small four row data table:
The actual values don't matter for what we are doing here.
Now go to the Partition Model platform. Specify the Y column as the Y, X as the X. Ignore the Freq column for now. This is what you see once the platform launches:
Notice the count that I circled in red. Our table had four rows so count is 4.
Now relaunch the Partition Platform. Hit Recall, and then specify the Freq column as the Freq role, and click OK.
This is what you see when the platform launches:
Notice now that the count is 40. Why? Because the Freq column had 10 for each row. This essentially tells JMP that although there is only one row in the data table, that observation actually occurs 10 times. Therefore, there are 40 observations in those 4 data table rows.
If you clicked on the "Help" button, it describes each of the input fields. But basically, the values in a column that is placed into a Freq selection box will be used to replicate the values for the row it is processing. So if the value of the Freq column was a 2, the analysis variables would be applied twice to the analysis.
I don't think you would want to use your Date column as a frequency variable.
The frequency role in an analysis ("Freq") is not meant in the sense of time: daily, weekly, monthly, annually. Instead, it is meant in the sense of number of occurrences. It expects a count of the number of rows with the same observation levels. It is not a requirement to use this role. It is a convenience.
Here is an example with each observation of protein on its own row. (Row equals observation)
I can examine the distribution of Protein with this launch dialog without the Freq role.
I get this platform.
But sometimes the data is available as a summary.
I could manually expand this short data table (5 rows) so that each type of protein has the correct number of rows in a tall table (100 rows), but the Freq role does that for me internally.
The result is the same because the data is the same.
So the Freq role is a convenience, a way to let JMP know that this single row represents one or more observations. It is not frequency in the sense of time. It is not a weight. (Each observation still has a weight of 1.)
