Marks of a Tessellation
Extract or change the marks attached to the tiles of a tessellation.
## S3 method for class 'tess' marks(x, ...) ## S3 replacement method for class 'tess' marks(x, ...) <- value ## S3 method for class 'tess' unmark(X)
x,X |
Tessellation (object of class |
... |
Ignored. |
value |
Vector or data frame of mark values,
or |
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 marks can be a vector, a factor, or a data frame.
For the assignment marks(x) <- value
, the value
should be a vector or factor of length equal to the number of
tiles in x
, or a data frame with as many rows
as there are tiles in x
. If value
is a single value,
or a data frame with one row, then it will be replicated
so that the same marks will be attached to each tile.
To remove marks, use marks(x) <- NULL
or unmark(x)
.
For marks(x)
, the result is a vector, factor or data frame,
containing the mark values attached to the tiles of x
.
If there are no marks, the result is NULL
.
For unmark(x)
, the result is the tessellation without marks.
For marks(x) <- value
, the result is the updated tessellation
x
(with the side-effect that the dataset x
is updated in
the current environment).
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk.
D <- dirichlet(cells) marks(D) <- tile.areas(D)
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