

dataentry {base}                             R Documentation

_S_p_r_e_a_d_s_h_e_e_t _I_n_t_e_r_f_a_c_e _f_o_r _E_n_t_e_r_i_n_g _D_a_t_a

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

     This is a suite of functions designed to make the
     interface to the spreadsheet painless for users.

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

     data.entry(..., Modes = NULL, Names = NULL)
     dataentry(data, modes)
     de(..., Modes = NULL, Names = NULL)

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

     `data.entry' has side effects, any changes made in the
     spreadsheet are reflected in the variables.  The func-
     tions `de', `de.ncols', `de.setup' and `de.restore' are
     designed to help achieve these side effects.  If the
     user passes in a matrix, `X' say, then the matrix is
     broken into columns before `dataentry' is called. Then
     on return the columns are collected and glued back
     together and the result assigned to the variable `X'.
     If you don't want this behaviour use dataentry
     directly.

     The primitive function is `dataentry'. It takes a list
     of vectors of possibly different lengths and modes (the
     second argument) and opens a spreadsheet with these
     variables being the columns.  The columns of the
     dataentry window are returned as vectors in a list when
     the spreadsheet is closed.

     `de.ncols' counts the number of columns which are sup-
     plied as arguments to `data.entry'. It attempts to
     count columns in lists, matrices and vectors.
     `de.setup' sets things up so that on return the columns
     can be regrouped and reassigned to the correct name.
     This is handled by `de.restore'.

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

     `vi', `edit'.

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

     # call data entry with variables x and y
     data.entry(x,y)

