

stripplot {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 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.

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

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

