neuropathy          package:exactRankTests          R Documentation

_A_c_u_t_e _P_a_i_n_f_u_l _D_i_a_b_e_t_i_c _N_e_u_r_o_p_a_t_h_y

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

     The logarithm of the ratio of pain scores at baseline and after
     four weeks for a control and treatment group.

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

     data(neuropathy)

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

     A data frame with 58 observations on the following 2 variables.

     _p_a_i_n Pain scores: ln(baseline/final).

     _g_r_o_u_p a factor with levels 'control' and 'treat'.  .in -5 

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

     Data from Table 1 of Conover & Salsburg (1988).

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

     William J. Conover and David S. Salsburg (1988), Locally most
     powerful tests for detecting treatment effects when only a subset
     of patients can   be expected to "respond" to treatment.
     _Biometrics_, *44*, 189-196.

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

     data(neuropathy)
     # compare with Table 2 of Conover & Salsburg (1988)
     wilcox.exact(pain ~ group, data=neuropathy, alternative="less")
     css <- cscores(neuropathy$pain, type="ConSal")
     pperm(sum(css[neuropathy$group=="control"]),css,
           m=sum(neuropathy$group=="control"))

