print.survfitr            package:survrec            R Documentation

_P_r_i_n_t _a _S_h_o_r_t _S_u_m_m_a_r_y _o_f _a _S_u_r_v_i_v_a_l _R_e_c_u_r_r_e_n_t _C_u_r_v_e

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

     Print number of observations, number of events, the restricted
     mean survival and its standard error, the median survial and the
     minimum, maximum and median  number of recurrences for each
     subject.

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

     print.survfitr(x, scale=1, digits=max(options()$digits - 4, 3), ...)

_A_r_g_u_m_e_n_t_s:

       x: the result of a call to the survfit, psh.fit, wc.fil or
          mlefrailty.fit functions

   scale: a numeric value to rescale the survival time, e.g., if the
          input data to survfit were in days, scale=365 would scale the
          printout to years

  digits: number of digits to print

     ...: other unusued arguments 

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

     The restricted mean and its standard error are based on a
     truncated estimator. If the last observation(s) is not a death,
     then the survival curve estimate does not fot to zero and the 
     mean survival time cannot be estimated. Instead, the quantity
     reported is the mean of survival restricted to the time before the
     last censoring. When the las censoring time is not random  this
     quantity is occasionally of interest.

     The median are defined by drawing a horizontal line at 0.5 on the
     plot of the survival curve.

_V_a_l_u_e:

     x, with the invisible flag set.

     The number of observations, the number of events, the restricted
     mean survival and its standard error, the median survival and the
     minimum, maximum and median number of recurrences are printed. If
     there are multiple curves, there is one line of output for each.

_S_e_e _A_l_s_o:

     'summary.survfitr',  'survfitr'

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

     data(MMC)
     fit<-survfitr(Survr(id,time,event)~group,data=MMC)
     print(fit)

