How to Scale Variable(s) to Center Within Variable

Standardizing within variable means scaling each column of the raw data so that it has a mean of 0 and a standard deviation of 1. This article describes how to go from the data below:

For each column/variable in the data, centering within variable will subtract the mean for the column from each entry in the column to yield the following:

This transformation creates for each selected variable set, a new R variable set containing the transformed data after centering within each variable.

Requirements

• A Displayr document that contains one or more Nominal - Multi, Ordinal - Multi, Numeric - Multi, Numeric - Grid, Nominal, Ordinal or Numeric variable sets.

Please note these steps require a Displayr license.

Method

This transformation creates for each selected variable set, a new variable set containing the transformed data after centering within the variable. To standardize a variable:

1. Select the variable or variable sets in the Data Sources tree.
2. Still in the Data Sources tree, either hover over any variable in your Data Sources tree > Plus (+) > Insert Variable(s) > Ready-Made New Variable(s) > Scale Variable(s) > Center Within Variable or else from the toolbar menu, select Anything > Data > Variables > New > Ready-Made New Variable(s) > Scale Variable(s) > Center Within Variable.
3. OPTIONAL: If your document contains more than one data file you will be prompted to select the data file. Click OK.
4. Next, you will be asked to select the variable sets you want to standardize, click OK.
5. A new numeric variable is created. Centering data means that the average of a variable is subtracted from the data. 

See Also

Scale Variable(s) to Center Within Case