nomogram_features3: Nomogram features using categorical predictors
In rmlnomogram: Construct Explainable Nomogram for a Machine Learning Model
nomogram_features3 R Documentation
Nomogram features using categorical 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_features3
Format
A data frame with 16 rows and 4 columns:
- cyl.6
A categorical predictor with values of 0 and 1.
- cyl.8
A categorical predictor with values of 0 and 1.
- qsec.1
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.
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.
| nomogram_features3 | R Documentation |
Nomogram features using categorical 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_features3
Format
A data frame with 16 rows and 4 columns:
- cyl.6
A categorical predictor with values of 0 and 1.
- cyl.8
A categorical predictor with values of 0 and 1.
- qsec.1
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.