splom                package:lattice                R Documentation

_S_c_a_t_t_e_r _P_l_o_t _M_a_t_r_i_c_e_s

_D_e_s_c_r_i_p_t_i_o_n:

     Draw Conditional Scatter Plot Matrices and Parallel Coordinate
     Plots

_U_s_a_g_e:

     splom(x, data, ...)
     parallel(x, data, ...)

     ## S3 method for class 'formula':
     splom(x,
           data,
           auto.key = FALSE,
           aspect = 1,
           between = list(x = 0.5, y = 0.5),
           panel = lattice.getOption("panel.splom"),
           prepanel,
           scales,
           strip,
           groups,
           xlab,
           xlim,
           ylab = NULL,
           ylim,
           superpanel = lattice.getOption("panel.pairs"),
           pscales = 5,
           varnames,
           drop.unused.levels,
           ...,
           lattice.options = NULL,
           default.scales,
           subset = TRUE)
     ## S3 method for class 'formula':
     parallel(x,
              data,
              aspect = "fill",
              between = list(x = 0.5, y = 0.5),
              panel = lattice.getOption("panel.parallel"),
              prepanel,
              scales,
              strip,
              groups,
              xlab = NULL,
              xlim,
              ylab = NULL,
              ylim,
              varnames,
              drop.unused.levels,
              ...,
              lattice.options = NULL,
              default.scales,
              subset = TRUE)

     ## S3 method for class 'data.frame':
     splom(x, data = NULL, ...)
     ## S3 method for class 'matrix':
     splom(x, data = NULL, ...)

     ## S3 method for class 'matrix':
     parallel(x, data = NULL, ...)
     ## S3 method for class 'data.frame':
     parallel(x, data = NULL, ...)

_A_r_g_u_m_e_n_t_s:

       x: The object on which method dispatch is carried out.

          For the '"formula"' method, a formula describing the
          structure of the plot, which should be of the form '~ x | g1
          * g2 * ...', where 'x' is a data frame or matrix.  Each of
          'g1,g2,...' must be either factors or shingles. The
          conditioning variables 'g1, g2, ...' may be omitted.

          For the 'data.frame' methods, a data frame. 

    data: For the 'formula' methods, an optional data frame in which
          variables in the formula (as well as 'groups' and 'subset',
          if any) are to be evaluated. 

  aspect: aspect ratio of each panel (and subpanel), square by default
          for 'splom'. 

 between: to avoid confusion between panels and subpanels, the default
          is to show the panels of a splom plot with space between
          them. 

   panel: Usual interpretation for 'parallel', namely the function that
          creates the display within each panel. 

          For 'splom', the terminology is slightly complicated. The
          role played by the panel function in most other high-level
          functions is played here by the 'superpanel' function, which
          is responsible for the display for each conditional data
          subset. 'panel' is simply an argument to the default
          'superpanel' function 'panel.pairs', and is passed on to it
          unchanged. It is used there to create each pairwise display.
          See 'panel.pairs' for more useful options.

superpanel: function that sets up the splom display, by default as a
          scatterplot matrix. 

 pscales: a numeric value or a list, meant to be a less functional
          substitute for the 'scales' argument in 'xyplot' etc. This
          argument is passed to the 'superpanel' function, and is
          handled by the default superpanel function 'panel.pairs'. The
          help page for the latter documents this argument in more
          detail. 

varnames: character vector giving the names of the p variables in x. By
          default, the column names of x. 

auto.key, prepanel, scales,
strip, groups, xlab, xlim, ylab, ylim, drop.unused.levels,
lattice.options, default.scales, subset: 
          See 'xyplot' 

     ...: Further arguments.  See corresponding entry in 'xyplot' for
          non-trivial details.  

_D_e_t_a_i_l_s:

     'splom' produces Scatter Plot Matrices. The role usually played by
     'panel' is taken over by 'superpanel', which determines how the
     columns of 'x' are to be arranged for pairwise plots. The only
     available option currently is 'panel.pairs'.

     Many of the finer customizations usually done via arguments to
     high level function like 'xyplot' are instead done by
     'panel.pairs' for 'splom'. These include control of axis limits,
     tick locations and prepanel calcultions. If you are trying to
     fine-tune your 'splom' plot, definitely look at the 'panel.pairs'
     help page. The 'scales' argument is usually not very useful in
     'splom', and trying to change it may have undesired effects.

     'parallel' draws Parallel Coordinate Plots. (Difficult to
     describe, see example.)

     These and all other high level Trellis functions have several
     arguments in common. These are extensively documented only in the
     help page for 'xyplot', which should be consulted to learn more
     detailed usage.

_V_a_l_u_e:

     An object of class '"trellis"'. The 'update' method can be used to
     update components of the object and the 'print' method (usually
     called by default) will plot it on an appropriate plotting device.

_A_u_t_h_o_r(_s):

     Deepayan Sarkar Deepayan.Sarkar@R-project.org

_S_e_e _A_l_s_o:

     'xyplot', 'Lattice', 'panel.pairs'

_E_x_a_m_p_l_e_s:

     super.sym <- trellis.par.get("superpose.symbol")
     splom(~iris[1:4], groups = Species, data = iris,
           panel = panel.superpose,
           key = list(title = "Three Varieties of Iris",
                      columns = 3, 
                      points = list(pch = super.sym$pch[1:3],
                      col = super.sym$col[1:3]),
                      text = list(c("Setosa", "Versicolor", "Virginica"))))
     splom(~iris[1:3]|Species, data = iris, 
           layout=c(2,2), pscales = 0,
           varnames = c("Sepal\nLength", "Sepal\nWidth", "Petal\nLength"),
           page = function(...) {
               ltext(x = seq(.6, .8, len = 4), 
                     y = seq(.9, .6, len = 4), 
                     lab = c("Three", "Varieties", "of", "Iris"),
                     cex = 2)
           })
     parallel(~iris[1:4] | Species, iris) 

