waste                package:multcomp                R Documentation

_I_n_d_u_s_t_r_i_a_l _W_a_s_t_e _D_a_t_a _S_e_t

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

     Industrial waste output in a manufactoring plant.

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

     data("waste")

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

     This data frame contains the following variables

     _t_e_m_p temperature, a factor at three levels: 'low', 'medium',
          'high'.

     _e_n_v_i_r environment, a factor at five levels: 'env1' ... 'env5'.

     _w_a_s_t_e response variable: waste output in a manufacturing plant.

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

     The data are from an experiment designed to study the effect of
     temperature ('temp') and environment ('envir') on waste output in
     a manufactoring plant. Two replicate measurements were taken at
     each temperature / environment combination.

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

     P. H. Westfall, R. D. Tobias, D. Rom, R. D. Wolfinger, Y. Hochberg
     (1999). _Multiple Comparisons and Multiple Tests Using the SAS
     System_. Cary, NC: SAS Institute Inc., page 177.

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

       ### set up two-way ANOVA with interactions
       amod <- aov(waste ~ envir + temp + envir*temp, data=waste)

       ### set up linear hypotheses for all-pairs of both factors
       wht <- glht(amod, linfct = mcp(temp = "Tukey", envir = "Tukey"))

       ### cf. Westfall et al. (1999, page 181)
       summary(wht, test = adjusted("Shaffer"))

