interaction               package:base               R Documentation

_C_o_m_p_u_t_e _F_a_c_t_o_r _I_n_t_e_r_a_c_t_i_o_n_s

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

     'interaction' computes a factor which represents the interaction
     of the given factors.  The result of 'interaction' is always
     unordered.

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

     interaction(..., drop = FALSE, sep = ".", lex.order = FALSE)

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

     ...: the factors for which interaction is to be computed, or a
          single list giving those factors.

    drop: if 'drop' is 'TRUE', unused factor levels are dropped from
          the result.  The default is to retain all factor levels.

     sep: string to construct the new level labels by joining the
          constituent ones.

lex.order: logical indicating if the order of factor concatenation
          should be lexically ordered.

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

     A factor which represents the interaction of the given factors.
     The levels are labelled as the levels of the individual factors
     joined by 'sep' which is '.' by default.

     By default, when 'lex.order = FALSE', the levels are ordered so
     the level of the first factor varies fastest, then the second and
     so on.  This is the reverse of lexicographic ordering (which you
     can get by  'lex.order = TRUE'), and differs from ':'.  (It is
     done this way for compatibility with S.)

_R_e_f_e_r_e_n_c_e_s:

     Chambers, J. M. and Hastie, T. J. (1992) _Statistical Models in
     S_. Wadsworth & Brooks/Cole.

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

     'factor'; ':' where 'f:g' is similar to 'interaction(f, g,
     sep=":")' when 'f' and  'g' are factors.

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

     a <- gl(2, 4, 8)
     b <- gl(2, 2, 8, labels = c("ctrl", "treat"))
     s <- gl(2, 1, 8, labels = c("M", "F"))
     interaction(a, b)
     interaction(a, b, s, sep = ":")
     stopifnot(identical(a:s,
                         interaction(a, s, sep = ":", lex.order = TRUE)),
               identical(a:s:b,
                         interaction(a, s, b, sep = ":", lex.order = TRUE)))

