MMPoisRep               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:

     Simulated data with a fixed factor cult (4 levels), with 8
     randomized replications each, a (fixed) factor time (6 levels),
     which are repeated measurements taken from the same experimental
     units. The 32 experimental (plotid) units differ in their mean
     response follwing a gaussian distribution. The response Y follows
     a Poisson distribution.

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

     data(MMPoisRep)

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

     A data frame with 192 observations on the following 4 variables.

     '_p_l_o_t_i_d' a factor with 32 levels, representing the 32 experimental
          units (plots)

     '_c_u_l_t' a factor with 4 levels ('C1' 'C2' 'C3' 'C4'), representing
          a fixed factor (e.g. the cultivar)

     '_t_i_m_e' a factor with 6 levels ('T1' 'T2' 'T3' 'T4' 'T5' 'T6')
          specifying repeated measurements on the same experimental
          units (plotid) over time

     '_Y' a numeric vector, following a Poisson distribution

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

     Created by simulation.

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

     data(MMPoisRep)

     boxplot(Y ~ cult*time, data=MMPoisRep, las=TRUE)

