kruskal              package:agricolae              R Documentation

_K_r_u_s_k_a_l _W_a_l_l_i_s _t_e_s_t _a_n_d _m_u_l_t_i_p_l_e _c_o_m_p_a_r_i_s_o_n _o_f _t_r_e_a_t_m_e_n_t_s.

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

     It makes the multiple comparison with Kruskal-Wallis. The
     parameters by default are alpha = 0.05.

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

     kruskal(y, trt, alpha = 0.05, group=TRUE, main = NULL)

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

       y: response 

     trt: treatment 

   alpha: level signification 

   group: TRUE or FALSE 

    main: Title 

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

       y: vector numeric 

     trt: vector alphanumeric 

   alpha: level significant 

   group: Logic 

    main: Title 

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

     Felipe de Mendiburu

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

     Practical Nonparametrics Statistics. W.J. Conover, 1999

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

     'friedman', 'durbin.test'

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

     library(agricolae)
     data(corn)
     attach(corn)
     str(corn)
     comparison<-kruskal(observation,method,group=TRUE, main="corn")

