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breast

Wisconsin Prognostic Breast Cancer Data


Description

Recurrence of breast cancer from 198 breast cancer patients, all of which exhibited no evidence of distant metastases at the time of diagnosis. The first 30 features of the data describe characteristics of the cell nuclei present in the digitized image of a fine needle aspirate (FNA) of the breast mass.

Source

The data were obtained from the UCI machine learning repository, see http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Prognostic).

Examples

## ------------------------------------------------------------
## Standard analysis
## ------------------------------------------------------------

data(breast, package = "randomForestSRC")
breast <- na.omit(breast)
o <- rfsrc(status ~ ., data = breast, nsplit = 10)
print(o)

randomForestSRC

Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)

v2.11.0
GPL (>= 3)
Authors
Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
Initial release
2021-03-30

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