

   11--DD SSccaatttteerr PPlloottss

        stripplot(x, method="overplot", jitter=0.1, offset=1/3,
                vertical=FALSE, group.names)

   AArrgguummeennttss::

          x: the data from which the plots are to be produced.
             The data can be specified as a single vector, or
             as list of vectors, each corresponding to a compo-
             nent plot.  Alternatively a symbolic specification
             of the form `x ~ g' can be given, indicating the
             the observations in the vector `x' are to be
             grouped according to the levels of the factor `g'.
             `NA's are allowed in the data.

     method: the method to be used to separate coincident
             points.  The default method `"overplot"' causes
             such points to be overplotted, but it is also pos-
             sible to specify `"jitter"' to jitter the points,
             or `"stack"' have coincident points stacked.  The
             last method only makes sense for very granular
             data.

     jitter: when jittering is used, `jitter' gives the amount
             of jittering applied.

     offset: when stacking is used, points are stacked this
             many line-heights (symbol widths) apart.

   vertical: when vertical is `TRUE' the plots are drawn verti-
             cally rather than the default horizontal.

   group.names: group labels which will be printed alongside
             (or underneath) each plot.

             Graphical parameters can also be specified as
             arguments.

   DDeessccrriippttiioonn::

        `stripplot' produces one dimensional scatter plots (or
        dot plots) of the given data.  These plots are are good
        alternative to boxplots when sample sizes are small.

        Extensive examples of the use of this kind of plot can
        be found in Box, Hunter and Hunter or Seber and Wild.

