| breast {randomForestSRC} | R Documentation |
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.
A data frame containing:
| 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 |
The data were obtained from the UCI machine learning repository, see http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Prognostic).
data(breast, package = "randomForestSRC") breast.obj <- rfsrc(status ~ ., data = breast, nsplit = 10) print(breast.obj) plot(breast.obj)