Methods for Spatially Sampled Functions
Methods for various generic commands, for the class
"ssf" of spatially sampled functions.
## S3 method for class 'ssf' marks(x, ...) ## S3 replacement method for class 'ssf' marks(x, ...) <- value ## S3 method for class 'ssf' unmark(X) ## S3 method for class 'ssf' as.im(X, ...) ## S3 method for class 'ssf' as.function(x, ...) ## S3 method for class 'ssf' as.ppp(X, ...) ## S3 method for class 'ssf' print(x, ..., brief=FALSE) ## S3 method for class 'ssf' summary(object, ...) ## S3 method for class 'ssf' range(x, ...) ## S3 method for class 'ssf' min(x, ...) ## S3 method for class 'ssf' max(x, ...) ## S3 method for class 'ssf' integral(f, domain=NULL, ..., weights=attr(f, "weights"))
x,X,f,object |
A spatially sampled function (object of class |
... |
Arguments passed to the default method. |
brief |
Logical value controlling the amount of detail printed. |
value |
Matrix of replacement values for the function. |
domain |
Optional.
Domain of integration. An object of class |
weights |
Optional. Numeric vector of quadrature weights associated with the sample points. |
An object of class "ssf" represents a
function (real- or vector-valued) that has been
sampled at a finite set of points.
marks returns a matrix.
marks(x) <- value returns an object of class "ssf".
as.owin returns a window (object of class "owin").
as.ppp and unmark
return a point pattern (object of class "ppp").
as.function returns a function(x,y) of class "funxy".
print returns NULL.
summary returns an object of class
"summary.ssf" which has a print method.
range returns a numeric vector of length 2.
min and max return a single numeric value.
integral returns a numeric or complex value, vector, or matrix.
integral(f) returns a numeric or complex value
(if f had numeric or complex values)
or a numeric vector (if f had vector values).
If domain is a tessellation then integral(f, domain)
returns a numeric or complex vector with one entry for each tile
(if f had numeric or complex values)
or a numeric matrix with one row for each tile
(if f had vector values).
Adrian Baddeley
g <- distfun(cells[1:4]) X <- rsyst(Window(cells), 10) f <- ssf(X, g(X)) f summary(f) marks(f) as.ppp(f) as.im(f) integral(f) integral(f, quadrats(Window(f), 3))
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