orangejuice2               package:qcc               R Documentation

_O_r_a_n_g_e _j_u_i_c_e _d_a_t_a -  _P_a_r_t _2

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

     A full description of the problem is given in 'orangejuice'. 

     This dataset contains samples taken after the machine adjustment
     was made.

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

     data(orangejuice)

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

     A data frame with 64 observations on the following 4 variables:

     _s_a_m_p_l_e sample id

     _D number of defectives

     _s_i_z_e sample sizes

     _t_r_i_a_l trial samples (TRUE/FALSE)

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

     Montgomery, D.C. (1991) _Introduction to Statistical Quality
     Control_, 2nd ed, New York, John Wiley & Sons, pp. 155-159.

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

     data(orangejuice2)
     orangejuice2$d <- orangejuice2$D/orangejuice2$size
     attach(orangejuice2)
     summary(orangejuice2)
     boxplot(d ~ trial)
     mark <- ifelse(trial, 1, 2)
     plot(sample, d, type="b", col=mark, pch=mark)

