nomogram_features2: Nomogram features using categorical and 1 numerical...
In rmlnomogram: Construct Explainable Nomogram for a Machine Learning Model
nomogram_features2 R Documentation
Nomogram features using categorical and 1 numerical predictors
Description
An example of a data frame for sample_features argument in
create_nomogram function, must only include all possible
combinations of feature values, where one column is available for each
feature.
Usage
nomogram_features2
Format
A data frame with 80 rows and 4 columns:
.
- qsec
A numerical predictor without decimal.
- cyl.6
A categorical predictor with values of 0 and 1.
- cyl.8
A categorical predictor with values of 0 and 1.
- vs.1
A categorical predictor with values of 0 and 1.
Source
Derived from mtcars for examples in this package.
rmlnomogram documentation built on April 4, 2025, 5:45 a.m.
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| nomogram_features2 | R Documentation |
Nomogram features using categorical and 1 numerical predictors
Description
An example of a data frame for sample_features argument in
create_nomogram function, must only include all possible
combinations of feature values, where one column is available for each
feature.
Usage
nomogram_features2
Format
A data frame with 80 rows and 4 columns:
.
- qsec
A numerical predictor without decimal.
- cyl.6
A categorical predictor with values of 0 and 1.
- cyl.8
A categorical predictor with values of 0 and 1.
- vs.1
A categorical predictor with values of 0 and 1.
Source
Derived from mtcars for examples in this package.
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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