ansc                   package:pad                   R Documentation

_P_A_D  -  _A_n_s_c_o_m_b_e _q_u_a_r_t_e_t _d_a_t_a

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

     The 'ansc' data frame has 11 rows and 6 columns.

     This synthetic data-set was constructed by the statistican Frank
     Anscombe to illustrate how residuals can be used to discriminate
     between data-sets which give identical fitted regression models.

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

     data(ansc)

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

     This data frame contains the following columns:

     _x_1 a numeric vector with explanatory variable for each of
          responses 1, 2 or 3.  

     _y_1 a numeric vector with response 1.  

     _y_2 a numeric vector with response 2.  

     _y_3 a numeric vector with response 3.  

     _x_4 a numeric vector with explanatory variable for response 4

     _y_4 a numeric vector with response 4.  

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

     Anscombe, Francis J. (1973) Graphs in statistical analysis.
     American Statistician, 27, 17-21.

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

     data(ansc)
     summary(ansc)
     parmf <- par()$mfrow
     par(mfrow=c(2,2))
     with(ansc, plot(x1, y1))
     with(ansc, plot(x1, y2))
     with(ansc, plot(x1, y3))
     with(ansc, plot(x4, y4))
     par(mfrow=parmf)

