RFgui(data, x, y, same.algorithm = TRUE, ev, xcov, ycov,
sim_only1dim=FALSE, wait = 0, ...)
data
is given, the empirical variogram is shownseq
uence of the
locations of the
simulated process; if not given,
x
is determined by data
and if data
is not
given by default valuesseq
uence of numbers if a simulation
on $R^d$ is performed. Default is y = x
; see x
for details.seq
uence of the
locations where the covariance function is plottedseq
uence 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)
RFgui()
RFoptions(seed=NA)
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