RFgui(data, x, y, same.algorithm = TRUE, ev, bin = NULL, xcov, ycov,
      sim_only1dim=FALSE, wait = 0, ...)data
   is given, the empirical variogram is shownsequence of  the
   locations of the
   simulated process; if not given,
   x is determined by data and if data is not
   given by default valuessequence of numbers if a simulation
   on $R^d$ is performed. Default is y = x; see x for details.data is given. See
   sequence of the
   locations where the covariance function is plottedsequence of the
   locations where the covariance function is also plottedwait is negative the xterm does not wait for the
 tkltk-window to be finished. Further the variable RFgui.model
 is created in the environment .GlobalEnv and contains the
 currently chosen variable in the gui. NULL.  If wait is non-negative the xterm waits for the
 tkltk-window to be finished. NULL if no model has been chosen).
 wait=0. It idles less for
 higher values by sleeping about wait microseconds. Of course
 the handling in the tkltk window get slower also. Reasonable values
 for wait are within [0,1000].
 same.alg = TRUE is equivalent to setting
 circulant.trials=1,
 circulant.simu_method = "RPcirculant",
 circulant.force=TRUE,
 circulant.mmin=-2.
soil for a further exampleRFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
##                   RFoptions(seed=NA) to make them all random again
RFgui()
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