GlaucomaMVF              package:ipred              R Documentation

_G_l_a_u_c_o_m_a _D_a_t_a_b_a_s_e

_D_e_s_c_r_i_p_t_i_o_n:

     The 'GlaucomaMVF' data has 170 observations in two classes.  66
     predictors are derived from a confocal laser scanning image of the
      optic nerve head, from a visual field test, a fundus photography
     and a  measurement of the intra occular pressure.

_U_s_a_g_e:

     data(GlaucomaMVF)

_F_o_r_m_a_t:

     This data frame contains the following predictors describing the
     morphology of the optic nerve head, the visual field, the intra 
     occular pressure and a membership variable:

     _a_g area global.

     _a_t area temporal.

     _a_s area superior.

     _a_n area nasal.

     _a_i area inferior.

     _e_a_g effective area global.

     _e_a_t effective area temporal.

     _e_a_s effective area superior.

     _e_a_n effective area nasal.

     _e_a_i effective area inferior.

     _a_b_r_g area below reference global.

     _a_b_r_t area below reference temporal.

     _a_b_r_s area below reference superior.

     _a_b_r_n area below reference nasal.

     _a_b_r_i area below reference inferior.

     _h_i_c height in contour.

     _m_h_c_g mean height contour global.

     _m_h_c_t mean height contour temporal.

     _m_h_c_s mean height contour superior.

     _m_h_c_n mean height contour nasal.

     _m_h_c_i mean height contour inferior.

     _p_h_c_g peak height contour.

     _p_h_c_t peak height contour temporal.

     _p_h_c_s peak height contour superior.

     _p_h_c_n peak height contour nasal.

     _p_h_c_i peak height contour inferior.

     _h_v_c height variation contour.

     _v_b_s_g volume below surface global.

     _v_b_s_t volume below surface temporal.

     _v_b_s_s volume below surface superior.

     _v_b_s_n volume below surface nasal.

     _v_b_s_i volume below surface inferior.

     _v_a_s_g volume above surface global.

     _v_a_s_t volume above surface temporal.

     _v_a_s_s volume above surface superior.

     _v_a_s_n volume above surface nasal.

     _v_a_s_i volume above surface inferior.

     _v_b_r_g volume below reference global.

     _v_b_r_t volume below reference temporal.

     _v_b_r_s volume below reference superior.

     _v_b_r_n volume below reference nasal.

     _v_b_r_i volume below reference inferior.

     _v_a_r_g volume above reference global.

     _v_a_r_t volume above reference temporal.

     _v_a_r_s volume above reference superior.

     _v_a_r_n volume above reference nasal.

     _v_a_r_i volume above reference inferior.

     _m_d_g mean depth global.

     _m_d_t mean depth temporal.

     _m_d_s mean depth superior.

     _m_d_n mean depth nasal.

     _m_d_i mean depth inferior.

     _t_m_g third moment global.

     _t_m_t third moment temporal.

     _t_m_s third moment superior.

     _t_m_n third moment nasal.

     _t_m_i third moment inferior.

     _m_r mean radius.

     _r_n_f retinal nerve fiber thickness.

     _m_d_i_c mean depth in contour.

     _e_m_d effective mean depth.

     _m_v mean variability.

     _t_e_n_s_i_o_n intra occular pressure.

     _c_l_v corrected loss variance, variability of the visual field.

     _c_s contrast sensitivity of the visual field.

     _l_o_r_a loss of rim area, measured by fundus photography.

     _C_l_a_s_s a factor with levels 'glaucoma' and 'normal'.

_D_e_t_a_i_l_s:

     Confocal laser images of the eye background are taken with the 
     Heidelberg Retina Tomograph and variables 1-62 are derived.  Most
     of these variables describe either the area or volume in  certain
     parts of the papilla and are measured in  four sectors (temporal,
     superior, nasal and inferior) as well  as for the whole papilla
     (global). The global measurement is,  roughly, the sum of the
     measurements taken in the four sector.

     The perimeter `Octopus' measures the visual field variables 'clv' 
     and 'cs', stereo optic disks photographs were taken with a 
     telecentric fundus camera and 'lora' is derived.

     Observations of both groups are matched by age and sex,  to
     prevent for possible confounding.

_N_o_t_e:

     'GLaucomMVF' overlaps in some parts with 'GlaucomaM'.

_S_o_u_r_c_e:

     Andrea Peters, Berthold Lausen, Georg Michelson and Olaf Gefeller
     (2002),  Diagnosis of glaucoma by indirect classifiers,  _Methods
     of Information in Medicine_, to appear.

_E_x_a_m_p_l_e_s:

     ## Not run: 
     data(GlaucomaMVF)

     response <- function (data) {
       attach(data)
       res <- ifelse((!is.na(clv) & !is.na(lora) & clv >= 5.1 & lora >= 
             49.23372) | (!is.na(clv) & !is.na(lora) & !is.na(cs) & 
             clv < 5.1 & lora >= 58.55409 & cs < 1.405) | (is.na(clv) & 
             !is.na(lora) & !is.na(cs) & lora >= 58.55409 & cs < 1.405) | 
             (!is.na(clv) & is.na(lora) & cs < 1.405), 0, 1)
       detach(data)
       factor (res, labels = c("glaucoma", "normal"))
     }

     errorest(Class~clv+lora+cs~., data = GlaucomaMVF, model=inclass, 
            estimator="cv", pFUN = list(list(model = rpart)), cFUN = response)
     ## End(Not run)

