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-
- _1-_D _S_c_a_t_t_e_r _P_l_o_t_s
-
- stripplot(x, method="overplot", jitter=0.1, offset=1/3,
- vertical=FALSE, group.names)
-
- _A_r_g_u_m_e_n_t_s:
-
- x : the data from which the plots are to be pro-
- duced. The data can be specified as a single
- vector, or as list of vectors, each
- corresponding to a component plot. Alterna-
- tively a symbolic specification of the form x
- ~ g can be given, indicating the the observa-
- tions in the vector x are to be grouped
- according to the levels of the factor g. NAs
- 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 horizon-
- tal.
-
- group.names : group labels which will be printed alongside
- (or underneath) each plot.
-
- Graphical parameters can also be specified as
- arguments.
-
- _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 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.
-
-