RFgui(data, x, y, same.algorithm = TRUE, ev, bin = NULL, xcov, ycov, sim_only1dim=FALSE, wait = 0, ...)
RFempiricalvariogram
. If 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.data
is given. See
RFempiricalvariogram
for details.
seq
uence of the
locations where the covariance function is plottedseq
uence of the
locations where the covariance function is also plottedRFoptions
.wait
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. RFgui
always return
NULL
. If wait
is non-negative the xterm waits for the
tkltk-window to be finished. RFgui
returns invisibly
the last chosen model (or NULL
if no model has been chosen).
RFgui
idles a lot when 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 example
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
RFgui()
Run the code above in your browser using DataLab