Standardizing a variable
Standardizing a variable means subtracting its mean from every data point in the data series, and the dividing the resulting numbers by the variable’s standard deviation. The result is a variable with a mean of 0 and a standard deviation of 1.
In this example, a dataset/dataframe called
dat contains a continuous variable called
This command orders descriptives, but the
/SAVE subcommand also saves the standardized values. These are then given the original variable name prepended by
Z, so in this case,
DESCRIPTIVES VARIABLES = independentVariable /SAVE.
This stores the standardized values in a variable called
dat$standardizedIndependentVariable <- scale(dat$independentVariable);
In R is also easy to center a variable around its mean. The following command stores the centered values in a variable called
dat$centeredVariable <- scale(dat$independentVariable, scale = FALSE);