summary.ppm
From spatstat v1.24-1
by Adrian Baddeley
Summarizing a Fitted Point Process Model
summary
method for class "ppm"
.
Usage
## S3 method for class 'ppm':
summary(object, \dots, quick=FALSE)
## S3 method for class 'ppm':
print.summary(x, \dots)
Arguments
- object
- A fitted point process model.
- ...
- Ignored.
- quick
- Logical flag controlling the scope of the summary.
- x
- Object of class
"summary.ppm"
as returned bysummary.ppm
.
Details
This is a method for the generic summary
for the class "ppm"
. An object of class "ppm"
describes a fitted point process model. See ppm.object
)
for details of this class.
summary.ppm
extracts information about the
type of model that has been fitted, the data to which the model was
fitted, and the values of the fitted coefficients.
(If quick=TRUE
then only the information about the type
of model is extracted.)
print.summary.ppm
prints this information in a
comprehensible format.
In normal usage, print.summary.ppm
is invoked implicitly
when the user calls summary.ppm
without assigning its value
to anything. See the examples.
Value
summary.ppm
returns an object of class"summary.ppm"
, whileprint.summary.ppm
returnsNULL
.
Examples
# invent some data
X <- rpoispp(42)
# fit a model to it
fit <- ppm(X, ~x, Strauss(r=0.1))
# summarize the fitted model
summary(fit)
# `quick' option
summary(fit, quick=TRUE)
# save the full summary
s <- summary(fit)
# print it
print(s)
s
# extract stuff
names(s)
s$args$correction
s$name
s$trend$value
# multitype pattern
data(demopat)
fit <- ppm(demopat, ~marks, Poisson())
summary(fit)
# model with external covariates
fitX <- ppm(X, ~Z, covariates=list(Z=function(x,y){x+y}))
summary(fitX)
Community examples
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