_P_r_i_n_t _a _S_u_r_v_i_v_a_l _C_u_r_v_e _R_e_t_u_r_n_s _a _l_i_s_t _c_o_n_t_a_i_n_i_n_g _t_h_e _s_u_r_-
	_v_i_v_a_l _c_u_r_v_e, _c_o_n_f_i_d_e_n_c_e _l_i_m_i_t_s _f_o_r _t_h_e _c_u_r_v_e, _a_n_d _o_t_h_e_r
	_i_n_f_o_r_m_a_t_i_o_n.
	
	     summary.survfit(fit, times, censored=F, scale=1)
	
	_A_r_g_u_m_e_n_t_s:
	
	          fit:
	     output from a call to survfit.
	
	        times:
	     vector of the times; the returned matrix will contain 1
	     row for each time.  This must be in increasing order
	     and missing values are not allowed.  If censored=T, the
	     default time vector contains all the unique times in
	     fit.list, otherwise the default time vector uses only
	     the event (death) times.
	
	     censored:
	     logical flag: should the censoring times be included in
	     the output?  This is ignored if the times argument is
	     present.
	
	        scale:
	     rescale the survival time, e.g., if the input data to
	     survfit were in days, "scale=365" would scale the prin-
	     tout to years.
	
	     Value:
	
	     a list with the following components
	
	_A_r_g_u_m_e_n_t_s:
	
	         time:
	     the timepoint on the curve.
	
	         surv:
	     the value of the survival curve at time t+0.
	
	       n.risk:
	     the number of subjects at risk at time t-0 (but see the
	     comments on weights in the survfit help file).
	
	      n.event:
	     if the times argument is missing, then this column is
	     the number of events that occurred at time t.  Other-
	     wise, it is the cumulative number of events that have
	     occurred since the last time listed until time t+0.
	
	      std.dev:
	     the standard deviation of the survival value.
	
	     lower CI:
	     lower confidence limits for the curve.
	
	     upper CI:
	     upper confidence limits for the curve.
	
	       strata:
	     the number of points per curve.  If there are multiple
	     curves in this result, then the time, surv, etc vectors
	     will contain multiple curves, pasted end to end, and
	     length(surv)=sum(strata).  The names of the strata vec-
	     tor are the labels for the curves.
	
	         call:
	     the statement used to create the fit object.
	
	    na.action:
	     passed through from fit, if present.
	
	     survfit, 'print.summary.survfit'.
	
	_E_x_a_m_p_l_e_s:
	
	     summary( survfit( futime, fustat))