turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

- JMP User Community
- :
- Discussions
- :
- Discussions
- :
- How do you use JMP to standardize data?

Topic Options

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Sep 22, 2015 4:20 PM
(8170 views)

An assignment requires that we standardize the data for a particular variable (runtime) and see what a current value would become after standardizing the data. Any ideas on how to do this? Thanks!

Solved! Go to Solution.

1 ACCEPTED SOLUTION

Accepted Solutions

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Sep 23, 2015 5:21 AM
(14128 views)

Solution

And you can create a virtual column this way, without the need to build a formula directly:

4 REPLIES

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Sep 23, 2015 3:04 AM
(7064 views)

hi Rebecca,

the most trivial way would be to do a distribution of the variable and from the red triangle menu to choose save standardized as in the picture.

this will create a new column in the data table with the standardized values of the variable for each row.

otherwise you can create a new column and insert the Standardized formula manually.

in some cases (such as the fit model platform) you do not need to standardize the data prior to the analysis since you can request the standardized coefficients in the results. to do this you right click on the parameter estimates table and ask for the Std beta under the Columns option.

good luck!

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Sep 23, 2015 5:10 AM
(7064 views)

Hi Rebecca

To add on to Ron's reply standardizing data can also be classified as centering and scaling the data. Centering is where you subtract the mean from all values and scaling is dividing the centered data by the standard deviation. You can build the formula for this by first doing Analyze > Distribution and getting the mean and standard deviation values for your data. You can then make a new column and create a column formula:

Runtime value - mean value/Stdev value.

Best,

Bill

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Sep 23, 2015 5:21 AM
(14129 views)

Solution

And you can create a virtual column this way, without the need to build a formula directly:

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Sep 25, 2015 7:14 AM
(7064 views)

In addition to solutions already offered, it sounded like you might want to use historical data to determine how to standardize new values. If so, then you simply compute and store the mean and standard deviation of the historical sample, then use this computation: (new-mean)/(standard deviation) to standardize the new value. The computation could be performed in a column formula or with a script, depending on the situation.

Learn it once, use it forever!