with.msr | R Documentation |
An expression involving the names of components of a measure is evaluated.
## S3 method for class 'msr'
with(data, expr, ...)
data |
A measure (object of class |
expr |
An expression to be evaluated. |
... |
Ignored. |
This is a method for the generic function
with
for the class "msr"
.
The argument data
should be an object of class "msr"
representing a measure (a function which assigns a value to each
subset of two-dimensional space).
This function can be used to extract the components of the measure, or to perform more complicated manipulations of the components.
The argument expr
should be an un-evaluated expression
in the R language. The expression may involve any of the variable
names listed below with their corresponding meanings.
qlocations | (point pattern) all quadrature locations |
qweights | (numeric) all quadrature weights |
density | (numeric) density value at each quadrature point |
discrete | (numeric) discrete mass at each quadrature point |
continuous | (numeric) increment of continuous component |
increment | (numeric) increment of measure |
is.atom | (logical) whether quadrature point is an atom |
atoms | (point pattern) locations of atoms |
atommass | (numeric) massess of atoms |
The measure is the sum of discrete and continuous components. The discrete component assigns non-zero mass to several points called atoms. The continuous component has a density which should be integrated over a region to determine the value for that region.
An object of class "msr"
approximates the continuous component
by a sum over quadrature points. The quadrature points are chosen
so that they include the atoms of the measure. In the list above,
we have increment = continuous + discrete
,
continuous = density * qweights
,
is.atom = (discrete > 0)
,
atoms = qlocations[is.atom]
and
atommass = discrete[is.atom]
.
The result of evaluating the expression could be an object of any kind.
.
msr
,
split.msr
,
measureContinuous
, measurePositive
X <- rpoispp(function(x,y) { exp(3+3*x) })
fit <- ppm(X, ~x+y)
rp <- residuals(fit, type="pearson")
with(rp, atoms)
with(rp, qlocations %mark% continuous)
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