meteo                 package:HSAUR                 R Documentation

_M_e_t_e_o_r_o_l_o_g_i_c_a_l _M_e_a_s_u_r_e_m_e_n_t_s _f_o_r _1_1 _Y_e_a_r_s

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

     Several meteorological measurements for a period between 1920 and
     1931.

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

     data("meteo")

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

     A data frame with 11 observations on the following 6 variables.

     '_y_e_a_r' the years.

     '_r_a_i_n_N_o_v_D_e_c' rainfall in November and December (mm).

     '_t_e_m_p' average July temperature.

     '_r_a_i_n_J_u_l_y' rainfall in July (mm).

     '_r_a_d_i_a_t_i_o_n' radiation in July (millilitres of alcohol).

     '_y_i_e_l_d' average harvest yield (quintals per hectare).

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

     Carry out a principal components analysis of both the covariance
     matrix and the correlation matrix of the data and compare the
     results. Which set of components leads to the most meaningful
     interpretation?

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

     B. S. Everitt and G. Dunn (2001), _Applied Multivariate Data
     Analysis_, 2nd edition, Arnold, London.

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

       data("meteo", package = "HSAUR")
       meteo

