Marks of a Tessellation on a Network
Extract or change the marks attached to the tiles of a tessellation on a linear network.
## S3 method for class 'lintess' marks(x, ...) ## S3 replacement method for class 'lintess' marks(x, ...) <- value ## S3 method for class 'lintess' unmark(X)
x,X |
Tessellation on a linear network (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.
B <- lineardirichlet(runiflpp(5, simplenet)) marks(B) <- letters[1:5]
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