R: Examples for 'TH.data::wpbc'

### ** Examples


    data("wpbc", package = "TH.data")

    ### fit logistic regression model 
    coef(glm(status ~ ., data = wpbc[,colnames(wpbc) != "time"],
             family = binomial()))

        (Intercept)         mean_radius        mean_texture      mean_perimeter 
       8.771552e+00       -6.743957e+00       -2.702738e-01        6.920870e-01 
          mean_area     mean_smoothness    mean_compactness      mean_concavity 
       1.879913e-02        1.144647e+02       -1.414945e+00       -2.385312e+01 
 mean_concavepoints       mean_symmetry     mean_fractaldim           SE_radius 
      -6.837282e+00        1.113682e+01       -2.778124e+02       -5.925547e+00 
         SE_texture        SE_perimeter             SE_area       SE_smoothness 
      -3.317364e+00        1.793951e+00       -2.677410e-02        1.971475e+02 
     SE_compactness        SE_concavity    SE_concavepoints         SE_symmetry 
       1.440310e+02       -1.314936e+02       -2.155843e+02        1.350328e+02 
      SE_fractaldim        worst_radius       worst_texture     worst_perimeter 
       3.329786e+02        2.355794e+00        2.463149e-01       -1.376426e-01 
         worst_area    worst_smoothness   worst_compactness     worst_concavity 
      -8.898719e-03        1.034751e+01       -1.691356e+01        1.586701e+01 
worst_concavepoints      worst_symmetry    worst_fractaldim               tsize 
      -4.592863e+00       -1.488048e+01        1.868188e+01       -2.997064e-02 
             pnodes 
       1.278008e-01

Examples for 'TH.data::wpbc'

Wisconsin Prognostic Breast Cancer Data