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Jul 14, 2016 2:20 PM
(2147 views)

HI

New user to JMP here. I have a question regarding how to average multiple scatteprlots and plot the resultant average and make a table out of the data. For example

I have 3 scatterplots all ranging 15000-35000 (integer value only) in X and the response for of three different machines in Y. I would like to take the average response for each discrete point and plot that and also save the resulting data table. One problem is that there can be multiple responses for one input.

For example:

For X of 15,000 here are my 4 values:

20,000

20,500

21,000

22,000

For X of 15,001

21,000

24,000

For X of 15,002

21000

22000

23000

and so forth. I would like to get the average of each value and then plot the resultant point so I would then have a

X = 15000 would give Y 23875

X = 15001 would give Y 22500

X = 15002 would give Y 22000

and all the way up to 35000

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Jul 14, 2016 2:41 PM
(3544 views)

Solution

All you have to do is to go to:

Tables==>Summary

You can create a new table, using your X column as the "Group" column, and then specify all of the reponse variables you want, and the statistics to calculate for each of them.

Then all you have to do, is to graph the data from the new table

Jim

4 REPLIES

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Jul 14, 2016 2:31 PM
(2053 views)

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Jul 14, 2016 2:52 PM
(2053 views)

Using the:

Analyze==>Fit Y by X

platform, you can specify under the red triangle to sit a "Flexable" line, and then choose spline, or you can specify to use a Polynomial to fit the data. In either case, oce the lines are fit or adjusted, you can then save the predicted values, and then plot against those values.

Jim

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Jul 14, 2016 2:41 PM
(3545 views)

All you have to do is to go to:

Tables==>Summary

You can create a new table, using your X column as the "Group" column, and then specify all of the reponse variables you want, and the statistics to calculate for each of them.

Then all you have to do, is to graph the data from the new table

Jim

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Jul 14, 2016 2:53 PM
(2053 views)

Ah. that works great. Now I feel silly. Thank you for the quick response