painters                package:MASS                R Documentation

_T_h_e _P_a_i_n_t_e_r'_s _D_a_t_a _o_f _d_e _P_i_l_e_s

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

     The subjective assessment, on a 0 to 20 integer scale, of 54
     classical painters.  The painters were assessed on four
     characteristics: composition, drawing, colour and expression.  The
     data is due to the Eighteenth century art critic, de Piles.

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

     data(painters)

_F_o_r_m_a_t:

     The row names of the data frame are the painters. The components
     are:

     `_C_o_m_p_o_s_i_t_i_o_n' Composition score

     `_D_r_a_w_i_n_g' Drawing score

     `_C_o_l_o_u_r' Colour score

     `_E_x_p_r_e_s_s_i_o_n' Expression score

     `_S_c_h_o_o_l' The school to which a painter belongs, as indicated by a
          factor level code as follows: `"A"': Renaissance;  `"B"':
          Mannerist; `"C"': Seicento; `"D"': Venetian; `"E"': Lombard;
          `"F"': Sixteenth Century; `"G"': Seventeenth Century; `"H"':
          French.

_S_o_u_r_c_e:

     A. J. Weekes (1986) A Genstat Primer. Edward Arnold.

     M. Davenport and G. Studdert-Kennedy (1972) The statistical
     analysis of aesthetic judgement: an exploration.  Applied
     Statistics 21,  324-333.

     I. T. Jolliffe (1986) Principal Component Analysis. Springer.

