angina               package:multcomp               R Documentation

_D_o_s_e _R_e_s_p_o_n_s_e _D_a_t_a _S_e_t

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

     Dose response study of an angina drug; data set taken from 
     Westfall et al. (1999, p. 164). Different trend tests in a
     balanced  one-way layout.

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

     data(angina)

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

     This data frame contains the following variables

     _d_o_s_e Treatments at 5 levels: '0', '1', '2', '3', '4'

     _r_e_s_p_o_n_s_e Response variable: change from pretreatment  as measured
          in minutes of pain-free walking.

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

     See Westfall et al. (1999, p. 164)

_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.

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

     data(angina)

     # perform a dose-response analysis using simultaneous confidence 
     # intervals for Williams' contrasts
     summary(ci <- simint(response~dose, data=angina, alternative="greater",
                    type="Williams"))
     plot(ci, cex.axis=1.75, lwd=1.5)

     # consider the same data set as a changepoint problem
     summary(simint(response~dose, data=angina, alternative="greater",
                    type="Changepoint"))

     # compute now adjusted p-values for McDermott's test on trend
     summary(simtest(response~dose, data=angina, type="McDermott",
                     alternative="greater",ttype="logical"))

