An S4 class to represent an incidence (presence/absence) matrix.
IncidenceMatrix( data = FALSE, nrow = 1, ncol = 1, byrow = FALSE, dimnames = NULL, ... )
data  an optional data vector (including a list or


nrow  the desired number of rows. 
ncol  the desired number of columns. 
byrow  logical. If 
dimnames  A 
...  additional arguments to be passed to or from methods. 
When a matrix is first created, an identifier is generated (UUID v4). This ID is preserved when coercing to another class. Thus, the object ID is unique within the same class, but two objects of different classes can have the same ID. This makes it possible to identify objects representing the same initial data and associate them with the results of specific computations.
In the code snippets below, x
is a *Matrix
object.
get_id(x)
Get the ID of x
.
get_dates(x)
and set_dates(x) < value
Get or set
the dates of x
.
get_coordinates(x)
and set_coordinates(x) < value
Get
or set the geographical coordinates of x
.
In the code snippets below, x
is a *Matrix
object.
dim(x)
Returns the dimension of x
.
nrow(x)
Returns the number of rows present in x
.
ncol(x)
Returns the number of columns present in x
.
dimnames(x)
, dimnames(x) < value
Retrieves or sets
the row dimnames of x
according to value
.
rownames(x)
, rownames(x) < value
Retrieves or sets
the row names of x
according to value
.
colnames(x)
, colnames(x) < value
Retrieves or sets
the column names of x
according to value
.
In the code snippets below, x
is a *Matrix
object.
x[i, j]
Extracts elements selected by subscripts i
and j
. Indices are numeric
, integer
or
character
vectors or empty (missing) or NULL
.
Numeric values are coerced to integer
as by
as.integer
(and hence truncated towards zero).
Character vectors will be matched to the name of the elements.
An empty index (a comma separated blank) indicates that all
entries in that dimension are selected.
Returns an object of the same class as x
.
x[[i]]
Extracts a single element selected by subscript
i
.
Other matrix:
AbundanceMatrixclass
,
CountMatrixclass
,
LogicalMatrixclass
,
Matrixclass
,
NumericMatrixclass
,
OccurrenceMatrixclass
,
SimilarityMatrixclass
,
StratigraphicMatrixclass
,
coerce()
## Create an incidence (presence/absence) matrix ## Data will be coerced with as.logical() A < IncidenceMatrix(data = sample(0:1, 100, TRUE, c(1, 1/3)), nrow = 10) ## Create a count data matrix B < CountMatrix(data = sample(0:10, 100, TRUE), nrow = 10) ## Coerce to presence/absence C < as_incidence(B)