set_independent_variables: Set independent variables.
In easyml: Easily Build and Evaluate Machine Learning Models
Description
Usage
Arguments
Value
See Also
Description
This helper functions isolates the independent variables in a data.frame.
Usage
1
set_independent_variables(.data, dependent_variable)
Arguments
.data
A data.frame; the data to be analyzed.
dependent_variable
A character vector of length one; the dependent variable for this analysis.
Value
A data.frame, the independent variables of the analysis.
See Also
Other setters: set_categorical_variables,
set_column_names, set_cores,
set_dependent_variable,
set_looper_, set_looper,
set_measure, set_parallel,
set_plot_model_performance,
set_plot_predictions,
set_preprocess,
set_random_state,
set_resample
easyml documentation built on June 26, 2017, 9:02 a.m.
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Description Usage Arguments Value See Also
Description
This helper functions isolates the independent variables in a data.frame.
Usage
1 | set_independent_variables(.data, dependent_variable)
|
Arguments
.data |
A data.frame; the data to be analyzed. |
dependent_variable |
A character vector of length one; the dependent variable for this analysis. |
Value
A data.frame, the independent variables of the analysis.
See Also
Other setters: set_categorical_variables,
set_column_names, set_cores,
set_dependent_variable,
set_looper_, set_looper,
set_measure, set_parallel,
set_plot_model_performance,
set_plot_predictions,
set_preprocess,
set_random_state,
set_resample
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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