friedman              package:agricolae              R Documentation

_F_r_i_e_d_m_a_n _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:

     The data consist of b mutually independent k-variate random
     variables called b blocks. The random variable is in a block and
     is associated with treatment. It makes the multiple comparison of
     the Friedman test with or  without ties. A first result is
     obtained by friedman.test of R.

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

     friedman(judge,trt,evaluation,alpha=0.05,group=TRUE,main=NULL)

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

   judge: Identification of the judge in the evaluation 

     trt: Treatment 

evaluation: Variable 

   alpha: Significant test 

   group: TRUE or FALSE 

    main: Title 

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

  judge : Vector

    trt : Vector 

evaluation : Vector 

   alpha: Numeric 

   group: Logic 

    main: Text 

_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:

     'kruskal', 'durbin.test'

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

     library(agricolae)
     data(grass)
     attach(grass)
     comparison<-friedman(judge,trt, evaluation,alpha=0.05, group=TRUE,
     main="Data of the book of Conover")
     #startgraph
     bar.group(comparison,density=3,border="red",col="blue",ylim=c(0,45))
     #endgraph

