all.equal                package:base                R Documentation

_T_e_s_t _i_f _T_w_o _O_b_j_e_c_t_s _a_r_e (_N_e_a_r_l_y) _E_q_u_a_l

_D_e_s_c_r_i_p_t_i_o_n:

     'all.equal(x,y)' is a utility to compare R objects 'x' and 'y'
     testing 'near equality'.  If they are different, comparison is
     still made to some extent, and a report of the differences is
     returned.    Don't use 'all.equal' directly in 'if'
     expressions-either use 'isTRUE(all.equal(....))' or 'identical' if
     appropriate.

_U_s_a_g_e:

     all.equal(target, current, ...)

     ## S3 method for class 'numeric':
     all.equal(target, current,
               tolerance = .Machine$double.eps ^ 0.5,
               scale = NULL, check.attributes = TRUE, ...)

     attr.all.equal(target, current,
                    check.attributes = TRUE, check.names = TRUE, ...)

_A_r_g_u_m_e_n_t_s:

  target: R object.

 current: other R object, to be compared with 'target'.

     ...: Further arguments for different methods, notably the
          following two, for numerical comparison:

tolerance: numeric >= 0.  Differences smaller than 'tolerance' are not
          considered.

   scale: numeric scalar > 0 (or 'NULL'). See 'Details'.

check.attributes: logical indicating if the 'attributes(.)' of 'target'
          and 'current' should be compared as well.

check.names: logical indicating if the 'names(.)' of 'target' and
          'current' should be compared as well (and separately from the
          'attributes').

_D_e_t_a_i_l_s:

     There are several methods available, most of which are dispatched
     by the default method, see 'methods("all.equal")'.
     'all.equal.list' and 'all.equal.language' provide comparison of
     recursive objects.

     Numerical comparisons for 'scale = NULL' (the default) are done by
     first computing the mean absolute difference of the two numerical
     vectors.  If this is smaller than 'tolerance' or not finite,
     absolute differences are used, otherwise relative differences
     scaled by the mean absolute difference.

     If 'scale' is positive, absolute comparisons are made after
     scaling (dividing) by 'scale'.

     For complex arguments, the modulus 'Mod' of the difference is
     used: 'all.equal.numeric' is called so arguments 'tolerance' and
     'scale' are available.

     'attr.all.equal' is used for comparing 'attributes', returning
     'NULL' or a 'character' vector.

_V_a_l_u_e:

     Either 'TRUE' ('NULL' for 'attr.all.equal') or a vector of 'mode'
     '"character"' describing the differences between 'target' and
     'current'.

_R_e_f_e_r_e_n_c_e_s:

     Chambers, J. M. (1998) _Programming with Data. A Guide to the S
     Language_. Springer (for '=').

_S_e_e _A_l_s_o:

     'identical', 'isTRUE', '==', and 'all' for exact equality testing.

_E_x_a_m_p_l_e_s:

     all.equal(pi, 355/113)
     # not precise enough (default tol) > relative error

     d45 <- pi*(1/4 + 1:10)
     stopifnot(
     all.equal(tan(d45), rep(1,10)))        # TRUE, but
     all      (tan(d45) == rep(1,10))       # FALSE, since not exactly
     all.equal(tan(d45), rep(1,10), tol=0)  # to see difference