randomForestSRC (version 1.6.1)

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.

format

A data frame containing: ll{

status factor with levels N (nonrecurrent) and R (recurrent) indicating the patients outcome mean_radius radius (mean of distances from center to points on the perimeter) (mean) mean_texture texture (standard deviation of gray-scale values) (mean) mean_perimeter perimeter (mean) mean_area area (mean) mean_smoothness smoothness (local variation in radius lengths) (mean) mean_compactness compactness (mean) mean_concavity concavity (severity of concave portions of the contour) (mean) mean_concavepoints concave points (number of concave portions of the contour) (mean) mean_symmetry symmetry (mean) mean_fractaldim fractal dimension (mean) SE_radius radius (mean of distances from center to points on the perimeter) (SE) SE_texture texture (standard deviation of gray-scale values) (SE) SE_perimeter perimeter (SE) SE_area area (SE) SE_smoothness smoothness (local variation in radius lengths) (SE) SE_compactness compactness (SE) SE_concavity concavity (severity of concave portions of the contour) (SE) SE_concavepoints concave points (number of concave portions of the contour) (SE) SE_symmetry symmetry (SE) SE_fractaldim fractal dimension (SE) worst_radius radius (mean of distances from center to points on the perimeter) (worst) worst_texture texture (standard deviation of gray-scale values) (worst) worst_perimeter perimeter (worst) worst_area area (worst) worst_smoothness smoothness (local variation in radius lengths) (worst) worst_compactness compactness (worst) worst_concavity concavity (severity of concave portions of the contour) (worst) worst_concavepoints concave points (number of concave portions of the contour) (worst) worst_symmetry symmetry (worst) worst_fractaldim fractal dimension (worst) tsize diameter of the excised tumor in centimeters pnodes number of positive axillary lymph nodes observed at time of surgery }

source

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

Examples

data(breast, package = "randomForestSRC")
breast.obj <- rfsrc(status ~ ., data = breast, nsplit = 10)
print(breast.obj)
plot(breast.obj)