ExPCov                package:BSagri                R Documentation

_S_i_m_u_l_a_t_e_d _e_x_a_m_p_l_e _d_a_t_a _f_o_l_l_o_w_i_n_g _a _P_o_i_s_s_o_n _d_i_s_t_r_i_b_u_t_i_o_n

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

     Reponse follows a Poisson distribution, the covariables follow a
     multivariate normal on the log-scale.

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

     data(ExPCov)

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

     A data frame with 32 observations on the following 12 variables.

     '_r_e_s_p' a response of counts

     '_A' a factor with levels 'A1' 'A2' 'A3' 'A4', e.g. varieties

     '_C_1' a numeric covariable

     '_C_2' a numeric covariable

     '_C_3' a numeric covariable

     '_C_4' a numeric covariable

     '_C_5' a numeric covariable

     '_C_6' a numeric covariable

     '_C_7' a numeric covariable

     '_C_8' a numeric covariable

     '_C_9' a numeric covariable

     '_C_1_0' a numeric covariable

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

     data(ExPCov)

     boxplot(resp ~ A, data=ExPCov)

     pairs(ExPCov)

