carolina              package:agricolae              R Documentation

_N_o_r_t_h _C_a_r_o_l_i_n_a _D_e_s_i_g_n_s _I, _I_I _a_n_d _I_I_I

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

     Statistic analysis of the Carolina I, II and III genetic designs.

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

     carolina(model,data)

_A_r_g_u_m_e_n_t_s:

   model: Constant 

    data: Data frame 

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

     model = 1,2 and 3 is I, II and III see carolina1,2 and 3.

_V_a_l_u_e:

   model: 1, 2 or 3 

    data: in order

carolina 1 :: set, male, female, progeny, replication, response ... 

carolina 2 :: set, male, female, replication, response ... 

carolina 3 :: set, male, female, replication, response ... 

_A_u_t_h_o_r(_s):

     Felipe de Mendiburu

_R_e_f_e_r_e_n_c_e_s:

     Biometrical Methods in Quantitative Genetic Analysis, Singh,
     Chaudhary. 1979

_S_e_e _A_l_s_o:

     'DC'

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

     library(agricolae)
     data(DC)
     carolina1 <- DC$carolina1
     # str(carolina1)
     output<-carolina(model=1,carolina1)
     output[][-1]

     carolina2 <- DC$carolina2
     # str(carolina2)
     majes<-subset(carolina2,carolina2[,1]==1)
     majes<-majes[,c(2,5,4,3,6:8)]
     output<-carolina(model=2,majes[,c(1:4,6)])
     output[][-1]

     carolina3 <- DC$carolina3
     # str(carolina3)
     output<-carolina(model=3,carolina3)
     output[][-1]

