Class RMmodel
Class for RandomFields' representation of explicit covariance models
RFplotModel(x, y, dim=1,
n.points=if (dim==1 || is.contour) 200 else 100,
fct.type=NULL, MARGIN, fixed.MARGIN, maxchar=15, ...,
plotmethod=if (dim==1) "matplot" else "contour")
## S4 method for signature 'RMmodel,missing'
plot(x, y, ...)
## S4 method for signature 'RMmodel'
points(x, ..., type="p")
## S4 method for signature 'RMmodel'
lines(x, ..., type="l")
## S4 method for signature 'RMmodel'
image(x, ..., dim=2)
## S4 method for signature 'RMmodel'
persp(x, ..., dim=2, zlab="")x |
object of class |
y |
ignored in most methods |
MARGIN |
vector of two; two integer values giving the coordinate dimensions w.r.t. whether the field or the covariance model is to be plotted; in all other directions, the first index is taken. |
fixed.MARGIN |
only for |
maxchar |
integer. Maximum number of characters to print the model in the legend. |
... |
arguments to be passed to methods; mainly graphical
arguments, or further models in case of class |
dim |
must equal 1 or 2; only for |
n.points |
integer; only for |
fct.type |
character; only for |
plotmethod |
string or function. Internal. |
type |
character. See |
zlab |
character. See |
If RFoptions()$split_screen=TRUE and
RFoptions()$close_screen=TRUE then
the plot functions return
the screen numbers. Else NULL.
Objects are created by calling a function of class
RMmodelgenerator.
call:language object; the function call by which the object was generated
name:character string; nickname of the model, name of the function by which the object was generated
submodels:list; contains submodels (if existent)
par.model:list; contains model specific arguments
par.general:list of 4; contains the four standard
arguments var, scale, Aniso and proj that
can be given for any model; if not specified by the user, the string
"RFdefault" is inserted
signature(x = CLASS_CLIST): allows to sum up
covariance models; internally calls RMplus.
signature(x = CLASS_CLIST): allows to substract
covariance models; internally calls R.minus.
signature(x = CLASS_CLIST): allows to multiply
covariance models; internally calls R.mult.
signature(x = CLASS_CLIST): allows to divide
covariance models; internally calls R.div.
signature(x = CLASS_CLIST): concatenates
covariance functions or variogram models.
signature(x = CLASS_CLIST): gives a plot of the
covariance function or of the variogram model; for more details see
plot-method.
signature(x = CLASS_CLIST): adds a covariance plot to
an existing plot; for more details see
plot-method.
signature(x = CLASS_CLIST): adds a covariance plot to
an existing plot; for more details see
plot-method.
signature(x = CLASS_CLIST): as the usual
str-method for S4 objects but only those
entries of the
'par.general'-slot are shown that contain values different from
'RFdefault'.
signature(x = CLASS_CLIST): returns the structure
of x.
signature(x = CLASS_CLIST): identical with
show-method, additional argument is max.level.
signature(x = CLASS_CLIST): enables accessing
the slots via the "["-operator, e.g. x["par.general"].
signature(x = CLASS_CLIST): enables replacing
the slots via the "["-operator.
signature(x = CLASS_CLIST, y = "missing")Generates covariance function or variogram function plots in one or two dimensions.
All the above arguments apply for all the S3 and S4
functions given here as they call RFplotModel immediately.
Alexander Malinowski, Martin Schlather, schlather@math.uni-mannheim.de, https://www.wim.uni-mannheim.de/schlather/
# see RMmodel for introductory examples
# Compare:
model <- RMexp(scale=2) + RMnugget(var=3)
str(model) ## S4 object as default in version 3 of RandomFields
model <- summary(model)
str(model) ## list style as in version 2 of RandomFields
## see also 'spConform' in 'RFoptions' to make this style
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