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:

     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.

_R_e_f_e_r_e_n_c_e_s:

     Venables, W. N. and Ripley, B. D. (2002) _Modern Applied
     Statistics with S._ Fourth edition.  Springer.