SurvTest                package:coin                R Documentation

_I_n_d_e_p_e_n_d_e_n_t _T_w_o- _a_n_d _K-_S_a_m_p_l_e _T_e_s_t_s _f_o_r _C_e_n_s_o_r_e_d _D_a_t_a

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

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

     ## S3 method for class 'formula':
     surv_test(formula, data, subset = NULL,  weights = NULL, ...)
     ## S3 method for class 'IndependenceProblem':
     surv_test(object, 
         alternative = c("two.sided", "less", "greater"),
         distribution = c("asympt", "approx", "exact"), ...)

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

 formula: a formula of the form 'Surv(time, event) ~ x | block' where 
          'time' is a positive numeric variable denoting the survival
          time and 'event' is a logical being 'TRUE' when the event of
          interest was observed and 'FALSE' in case of censoring. 'x'
          is a factor with two or more levels giving the corresponding
          groups. 'block' is an optional factor for stratification.

    data: an optional data frame containing the variables in the model
          formula.

  subset: an optional vector specifying a subset of observations to be
          used.

 weights: an optional formula of the form '~ w' defining integer valued
          weights for the observations.

  object: an object of class 'IndependenceProblem'.

alternative: a character, the alternative hypothesis must be one of
          '"two.sided"' (default), '"greater"' or     '"less"'.  You
          can specify just the initial letter.

distribution: a character, the null distribution of the test statistic
          can be computed 'exact'ly or can be approximated by its
          asymptotic distribution ('asympt')   or via Monte-Carlo
          resampling ('approx').

     ...: further arguments to be passed to or from methods.

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

     The null hypothesis of the equality of the distribution of the
     survival functions in the groups induced by 'x' is tested.

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

     An object inheriting from class 'IndependenceTest-class' with
     methods 'show', 'statistic', 'expectation', 'covariance' and
     'pvalue'. The null distribution can be inspected by 'pperm',
     'dperm',   'qperm' and 'support' methods.

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

     data(ocarcinoma, package = "coin")

     surv_test(Surv(time, event) ~ stadium, data = ocarcinoma, 
                  distribution = "exact")

