MMPois                package:BSagri                R Documentation

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

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

     A fixed factor F (four levels) and a random factor (five levels),
     modifying the mean response (random Intercept) Y is a variable
     following a Poisson distribution.

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

     data(MMPois)

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

     A data frame with 160 observations on the following 3 variables.

     '_Y' a numeric vector, the Poisson distributed response.

     '_F' a factor with levels 'F1' 'F2' 'F3' 'F4'

     '_R' a factor with levels 'R1' 'R2' 'R3' 'R4' 'R5'

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

     Created by simulation.

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

     data(MMPois)

     boxplot(Y~R*F, data=MMPois, las=2)

