stripplot                package:base                R Documentation

_1-_D _S_c_a_t_t_e_r _P_l_o_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     `stripplot' produces one dimensional scatter plots (or dot plots)
     of the given data.  These plots are are good alternative to
     `boxplot's 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.

_U_s_a_g_e:

     stripplot(x, method="overplot", jitter=0.1, offset=1/3,
             vertical=FALSE, group.names,
             xlim=NULL, ylim=NULL, main="", ylab="", xlab="",
             pch=0, col=par("fg"), cex=par("cex"))

_A_r_g_u_m_e_n_t_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 component 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 possible 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 vertically 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.

_E_x_a_m_p_l_e_s:

     x <- round(rnorm(50), 1)
     stripplot(x)

