

km(event)                                    R Documentation

_K_a_p_l_a_n_-_M_e_i_e_r _S_u_r_v_i_v_a_l _C_u_r_v_e_s

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

     `km' calculates the Kaplan-Meier estimates for sur-
     vival.

     To plot the survival curve, use plot(); for the empiri-
     cal hazard curve, use plot.hazard(); for diagnostic
     curves to choose a distribution to which the data might
     belong, use plot.dist().

_U_s_a_g_e_:

     km(times, censor, group=1, freq=1, cdf=F)

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

   times: Vector of times to events or a list of vectors of
          such times for different individuals.

  censor: Vector of censoring indicators corresponding to
          the vector of times or to the last time in each
          vector of a list.

   group: Vector indicating to which group each individual
          belongs.

    freq: Vector of frequencies for grouped data.

     cdf: If TRUE, calculate the cdf instead of the survival
          curve.

_V_a_l_u_e_:

     A matrix with class, km, containing the Kaplan-Meier
     estimates is returned.

_A_u_t_h_o_r_(_s_)_:

     J.K. Lindsey

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

     surv <- rgamma(40,2,5)
     cens <- rbinom(40,1,0.9)
     treat <- gl(2,20)
     plot(km(surv, cens, group=treat), main="",xlab="Months",
             ylab="Probability of deterioration")
     plot.dist(km(surv, cens, group=treat))
     plot.hazard(km(surv, cens, group=treat),ylab="Risk of deterioration")

