breastcancer: Discrimination of Cancerous and Non-Cancerous Breast Masses
In DavidHofmeyr/PPCI: Projection Pursuit for Cluster Identification
Description
Usage
Format
Source
References
Description
This data set contains case information from 699 patients from Wisconsin General Hospital who received examination for mammographic masses, which were classified as either benign or malignant.
Usage
1
Format
A list with entries $x (a 699x9 matrix with each row corresponding to an individual case) and $c (a vector of labels indicating whether the mass was diagnosed as benign (2) or malignant (4)).
Source
UCI Machine Learning Repository.
References
Lichman, M. (2013) UCI Machine Learning Repository. Irvine, CA: University of California, School of Information and Computer Science. [https://archive.ics.uci.edu/ml]
DavidHofmeyr/PPCI documentation built on March 9, 2020, 5:05 p.m.
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Description Usage Format Source References
Description
This data set contains case information from 699 patients from Wisconsin General Hospital who received examination for mammographic masses, which were classified as either benign or malignant.
Usage
1 |
Format
A list with entries $x (a 699x9 matrix with each row corresponding to an individual case) and $c (a vector of labels indicating whether the mass was diagnosed as benign (2) or malignant (4)).
Source
UCI Machine Learning Repository.
References
Lichman, M. (2013) UCI Machine Learning Repository. Irvine, CA: University of California, School of Information and Computer Science. [https://archive.ics.uci.edu/ml]
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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