cancer: Synthetic data set to investigate three-class ROC data.
In trinROC: Statistical Tests for Assessing Trinormal ROC Data
cancer R Documentation
Synthetic data set to investigate three-class ROC data.
Description
A dataset containing randomly generated measurements from three diagnostic classes as they may
arise in a cancer investigation.
Usage
cancer
Format
A data frame with 100 rows and 10 variables (9 classifiers):
- trueClass
A factor, indicating the class membership of the
individuals.
- Class1, Class2, Class3, Class4, Class5, Class6, Class7, Class8, Class9
Measurements of a specific classifier obtained from the patients that underwent the
clinical study.
trinROC documentation built on Oct. 29, 2022, 1:12 a.m.
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| cancer | R Documentation |
Synthetic data set to investigate three-class ROC data.
Description
A dataset containing randomly generated measurements from three diagnostic classes as they may arise in a cancer investigation.
Usage
cancer
Format
A data frame with 100 rows and 10 variables (9 classifiers):
- trueClass
A factor, indicating the class membership of the individuals.
- Class1, Class2, Class3, Class4, Class5, Class6, Class7, Class8, Class9
Measurements of a specific classifier obtained from the patients that underwent the clinical study.
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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