| summary.ppm {spatstat} | R Documentation |
summary method for class "ppm".
## S3 method for class 'ppm': summary(object, ..., quick=FALSE) ## S3 method for class 'ppm': print.summary(x, ...)
object |
A fitted point process model. |
... |
Ignored. |
quick |
Logical flag controlling the scope of the summary. |
x |
Object of class "summary.ppm" as returned by
summary.ppm.
|
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.
summary.ppm returns an object of class "summary.ppm",
while print.summary.ppm returns NULL.
Adrian Baddeley adrian@maths.uwa.edu.au http://www.maths.uwa.edu.au/~adrian/ and Rolf Turner rolf@math.unb.ca http://www.math.unb.ca/~rolf
# 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 ## Not run: # multitype pattern data(demopat) fit <- ppm(demopat, ~marks, Poisson()) summary(fit) ## End(Not run)