Extract or change the marks attached to a point pattern dataset.
marks(x, …)# S3 method for ppp
marks(x, …, dfok=TRUE, drop=TRUE)
# S3 method for ppx
marks(x, …, drop=TRUE)
marks(x, …) <- value
# S3 method for ppp
marks(x, …, dfok=TRUE, drop=TRUE) <- value
# S3 method for ppx
marks(x, …) <- value
setmarks(x, value)
x %mark% value
Point pattern dataset (object of class "ppp"
or "ppx"
).
Ignored.
Logical. If FALSE
, data frames of marks are not permitted
and will generate an error.
Logical. If TRUE
, a data frame consisting of a single column
of marks will be converted to a vector or factor.
Replacement value. A vector, data frame or hyperframe of mark values,
or NULL
.
For marks(x)
, the result is a vector, factor, data frame or hyperframe,
containing the mark values attached to the points of x
.
For marks(x) <- value
, the result is the updated point pattern
x
(with the side-effect that the dataset x
is updated in
the current environment).
For setmarks(x,value)
and x %mark% value
, the return value
is the point pattern obtained by replacing the
marks of x
by value
.
These functions extract or change the marks
attached to the points of the point pattern x
.
The expression marks(x)
extracts the marks of x
.
The assignment marks(x) <- value
assigns new marks to the
dataset x
, and updates the dataset x
in the current
environment. The expression setmarks(x,value)
or equivalently x %mark% value
returns a point pattern
obtained by replacing the marks of x
by value
, but does
not change the dataset x
itself.
For point patterns in two-dimensional space (objects of class
"ppp"
) the marks can be a vector, a factor, or a data frame.
For general point patterns (objects of class "ppx") the marks can be a vector, a factor, a data frame or a hyperframe.
For the assignment marks(x) <- value
, the value
should be a vector or factor of length equal to the number of
points in x
, or a data frame or hyperframe with as many rows
as there are points in x
. If value
is a single value,
or a data frame or hyperframe with one row, then it will be replicated
so that the same marks will be attached to each point.
To remove marks, use marks(x) <- NULL
or
unmark(x)
.
Use ppp
or ppx
to create point patterns in more general
situations.
# NOT RUN {
X <- amacrine
# extract marks
m <- marks(X)
# recode the mark values "off", "on" as 0, 1
marks(X) <- as.integer(m == "on")
# }
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