marks(x, ...)
"marks"(x, ..., dfok=TRUE, drop=TRUE)
"marks"(x, ..., drop=TRUE)
marks(x, ...) <- value
"marks"(x, ..., dfok=TRUE, drop=TRUE) <- value
"marks"(x, ...) <- value
setmarks(x, value)
x %mark% value"ppp" or "ppx").
FALSE, data frames of marks are not permitted
and will generate an error.
TRUE, a data frame consisting of a single column
of marks will be converted to a vector or factor.
NULL.
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.
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.
ppp.object,
ppx,
unmark,
hyperframe
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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