split_x_and_y: Split a Data Set into Predictors and Target.
In RomeroBarata/dcme: Data Complexity Measures
Description
Usage
Arguments
Value
Description
split_x_and_y splits the input data set into the predictors x
and the target y.
Usage
1
split_x_and_y(data, target = ncol(data))
Arguments
data
A data frame containing both predictors and target variables.
target
The column index or the name of the target variable. If not
provided the target is assumed to be the last column of data.
Value
A list containing the predictors (x) and the target (y) variables.
RomeroBarata/dcme documentation built on May 9, 2019, 2:24 p.m.
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Description Usage Arguments Value
Description
split_x_and_y splits the input data set into the predictors x
and the target y.
Usage
1 | split_x_and_y(data, target = ncol(data))
|
Arguments
data |
A data frame containing both predictors and target variables. |
target |
The column index or the name of the target variable. If not
provided the target is assumed to be the last column of |
Value
A list containing the predictors (x) and the target (y) variables.
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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