The Variable companion object provides utilities for variables.
Attributes
Members list
Type members
Inherited and Abstract types
The names of the product elements
The names of the product elements
Attributes
- Inherited from:
- Mirror
The name of the type
The name of the type
Attributes
- Inherited from:
- Mirror
Value members
Concrete methods
Assign values for dummy variables based on a single categorical/treatment value tt.
Assign values for dummy variables based on a single categorical/treatment value tt.
Value parameters
- sht
-
the amount to shift the value
- tmx
-
the maximum categorical/treatment after shifting
- tt
-
the categorical/treatment value
Attributes
Assign values for the dummy variables based on the categorical/treatment vector 'tt'. A single categorical variable 'tt' with values 'ttmin' to 'ttmax' will be (1) shifted to the range 0 to 'tmax' and then replace by 'tmax' dummy variables/columns as follows: 0 => 0, 0, 0 OR 1, 1, 1 1 => 1, 0, 0 OR 2, 1, 1 2 => 0, 1, 0 OR 1, 2, 1 3 => 0, 0, 1 OR 1, 1, 2 Using (0, 1) for (VAL0, VAL1) is conventional, but using (1, 2) reduces collinearity, for example in QuadRegression. Note: one-hot encoding using 3 dummy variable leads to singular matrices.
Assign values for the dummy variables based on the categorical/treatment vector 'tt'. A single categorical variable 'tt' with values 'ttmin' to 'ttmax' will be (1) shifted to the range 0 to 'tmax' and then replace by 'tmax' dummy variables/columns as follows: 0 => 0, 0, 0 OR 1, 1, 1 1 => 1, 0, 0 OR 2, 1, 1 2 => 0, 1, 0 OR 1, 2, 1 3 => 0, 0, 1 OR 1, 1, 2 Using (0, 1) for (VAL0, VAL1) is conventional, but using (1, 2) reduces collinearity, for example in QuadRegression. Note: one-hot encoding using 3 dummy variable leads to singular matrices.
Value parameters
- tt
-
the categorical/treatment vector
Attributes
Return the shift in categorical/treatment variable to make it start at zero as well as the maximum value after shifting. Must call 'dummyVars' first
Return the shift in categorical/treatment variable to make it start at zero as well as the maximum value after shifting. Must call 'dummyVars' first