solder                 package:rpart                 R Documentation

~~ _1-_l_i_n_e _d_e_s_c_r_i_p_t_i_o_n _o_f _t_h_e _d_a_t_a _f_r_a_m_e ~~

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

     The `solder' data frame has 720 rows and 6 columns, representing a
     balanced subset of a designed experiment varying 5 factors on the
     soldering of components on printed-circuit boards.

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

 Opening: a factor with levels `L'  `M'  `S' indicating the amount of
          clearance around the mounting pad. 

  Solder: a factor with levels `Thick'  `Thin' giving the thickness of
          the solder used. 

    Mask: a factor with levels `A1.5'  `A3'  `B3'  `B6' indicating the
          type and thickness of mask used. 

 PadType: a factor with levels `D4'  `D6'  `D7'  `L4'  `L6'  `L7'  `L8'
           `L9'  `W4'  `W9' giving the size and geometry of the
          mounting pad. 

   Panel: `1:3' indicating the panel on a board being tested. 

   skips: a numeric vector giving the number of visible solder skips. 

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

     This data frame contains the following columns:

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

     John M. Chambers and Trevor J. Hastie eds. (1992) Statistical
     Models in S, Wadsworth and Brooks/Cole, Pacific Grove, CA 1992.

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

     data(solder)
     fit <- rpart(skips ~ Opening + Solder + Mask + PadType + Panel,
            data=solder, method='anova')
     summary(residuals(fit))
     plot(predict(fit),residuals(fit))

