DATA MINING
Desktop Survival Guide by Graham Williams |
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The Join Categoricals option provides a convenient way to
stratify the dataset, based on multiple categorical variables. It is a
simple mechanism that creates a new variable from the combination of
all of the values of the two constituent variables selected in the
Rattle interface. The resulting variables are prefixed with
JOIN_
and include the names of both the constituent variables.
A simple example might be to join Gender and Marital, to give a new
variable, JOIN_Marital_Gender
.
We might also want to join a numeric variable and a categorical variable, like the typical XnullXRattle!VariablesR functions (R function)Rattle!VariablesR libraries (R library)Rattle!VariablesR option (R option)Rattle!VariablesR packages (R package)Rattle!VariablesDatasets (Dataset)Rattle!VariablesRattle!VariablesAge and XnullXRattle!VariablesR functions (R function)Rattle!VariablesR libraries (R library)Rattle!VariablesR option (R option)Rattle!VariablesR packages (R package)Rattle!VariablesDatasets (Dataset)Rattle!VariablesRattle!VariablesGender stratification. To do this we first use the Binning option within Remap to categorise the XnullXRattle!VariablesR functions (R function)Rattle!VariablesR libraries (R library)Rattle!VariablesR option (R option)Rattle!VariablesR packages (R package)Rattle!VariablesDatasets (Dataset)Rattle!VariablesRattle!VariablesAge variable (See Section 6.3.1).
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