immer                  package:MASS                  R Documentation

_Y_i_e_l_d_s _f_r_o_m _a _B_a_r_l_e_y _F_i_e_l_d _T_r_i_a_l

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

     The `immer' data frame has 30 rows and 4 columns.  Five varieties
     of barley were grown in six locations in each of 1931 and 1932.

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

     data(immer)

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

     This data frame contains the following columns:

     `_L_o_c' The location.

     `_V_a_r' The variety of barley (`"manchuria"', `"svansota"',
          `"velvet"', `"trebi"' and `"peatland"').

     `_Y_1' Yield in 1931

     `_Y_2' Yield in 1932

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

     Immer, F.R., Hayes, H.D. and LeRoy Powers (1934)  Statistical
     determination of barley varietal adaptation. Journal of the
     American Society for Agronomy 26, 403-407.

     Fisher, R.A. (1947) The Design of Experiments. 4th edition.
     Edinburgh: Oliver and Boyd.

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

     data(immer)
     immer.aov <- aov(cbind(Y1,Y2) ~ Loc + Var, data=immer)
     summary(immer.aov)

     immer.aov <- aov((Y1+Y2)/2 ~ Var + Loc, data=immer)
     summary(immer.aov)
     model.tables(immer.aov, type="means", se=TRUE, cterms="Var")

