duplicated               package:base               R Documentation

_D_e_t_e_r_m_i_n_e _D_u_p_l_i_c_a_t_e _E_l_e_m_e_n_t_s

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

     Determines which elements of a vector of data frame are duplicates
     of elements with smaller subscripts, and returns a logical vector
     indicating which elements (rows) are duplicates.

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

     duplicated(x, incomparables = FALSE, ...)

     ## S3 method for class 'array':
     duplicated(x, incomparables = FALSE, MARGIN = 1, ...)

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

       x: an atomic vector or a data frame or an array.

incomparables: a vector of values that cannot be compared. Currently,
          'FALSE' is the only possible value, meaning that all values
          can be compared.

     ...: arguments for particular methods.

  MARGIN: the array margin to be held fixed: see 'apply'.

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

     This is a generic function with methods for vectors, data frames
     and arrays (including matrices).

     The data frame method works by pasting together a character
     representation of the rows separated by '\r', so may be imperfect
     if the data frame has characters with embedded carriage returns or
     columns which do not reliably map to characters.

     The array method calculates for each element of the sub-array
     specified by 'MARGIN' if the remaining dimensions are identical to
     those for an earlier element (in row-major order).  This would
     most commonly be used to find duplicated rows (the default) or
     columns (with 'MARGIN = 2').

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

     Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) _The New S
     Language_. Wadsworth & Brooks/Cole.

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

     'unique'.

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

     x <- c(9:20, 1:5, 3:7, 0:8)
     ## extract unique elements
     (xu <- x[!duplicated(x)])
     ## xu == unique(x) but unique(x) is more efficient

     duplicated(iris)[140:143]

     duplicated(iris3, MARGIN = c(1, 3))

