adjust_class_label: Adjust categorical mapping
In daltoolbox: Leveraging Experiment Lines to Data Analytics
adjust_class_label R Documentation
Adjust categorical mapping
Description
One‑hot encode a factor vector into a matrix of indicator columns.
Usage
adjust_class_label(x, valTrue = 1, valFalse = 0)
Arguments
x
vector to be categorized
valTrue
value to represent true
valFalse
value to represent false
Details
Values are mapped to valTrue/valFalse (default 1/0). The resulting matrix has column names equal to levels(x).
Value
returns an adjusted categorical mapping
daltoolbox documentation built on Nov. 5, 2025, 7:09 p.m.
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| adjust_class_label | R Documentation |
Adjust categorical mapping
Description
One‑hot encode a factor vector into a matrix of indicator columns.
Usage
adjust_class_label(x, valTrue = 1, valFalse = 0)
Arguments
x |
vector to be categorized |
valTrue |
value to represent true |
valFalse |
value to represent false |
Details
Values are mapped to valTrue/valFalse (default 1/0). The resulting matrix has column names equal to levels(x).
Value
returns an adjusted categorical mapping
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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