rlebdm | R Documentation |
A simple class representing boolean (logical) square matrix run-length encoded in a column-major order.
rlebdm(x, n)
as.rlebdm(x, ...)
## S3 method for class 'matrix'
as.rlebdm(x, ...)
## S3 method for class 'edgelist'
as.rlebdm(x, ...)
## S3 method for class 'network'
as.rlebdm(x, ...)
## S3 method for class 'rlebdm'
as.matrix(x, ...)
## S3 method for class 'rlebdm'
dim(x)
## S3 method for class 'rlebdm'
print(x, compact = TRUE, ...)
## S3 method for class 'rlebdm'
Ops(e1, e2)
## S3 method for class 'rlebdm'
Math(x, ...)
## S3 method for class 'rlebdm'
compress(x, ...)
## S3 method for class 'rlebdm'
as.edgelist(x, prototype = NULL, ..., output = c("matrix", "tibble"))
x |
for |
n |
the dimensions of the square matrix represented. |
... |
additional arguments, currently unused. |
compact |
whether to print the matrix compactly (dots and stars) or to print it as a logical matrix. |
e1, e2 |
arguments to the unary ( |
prototype |
an optional network with network attributes that
are transferred to the edgelist and will filter it (e.g., if the
prototype network is given and does not allow self-loops, the
edgelist will not have self-loops either,e ven if the dyad matrix
has non- |
output |
a string specifying whether the result should be a
matrix or a |
compress(rlebdm)
: Compress the rle
data structure in the
rlebdm
by merging successive runs with identical values.
as.edgelist(rlebdm)
: Convert an rlebdm
object to an edgelist
: a two-column
integer matrix or tibble
giving the cells with TRUE
values.
as.rlebdm(matrix)
: Convert a square matrix of mode coercible to logical
to an
rlebdm
.
as.rlebdm(edgelist)
: Convert an object of class edgelist
to an rlebdm
object
whose cells in the edge list are set to TRUE
and whose other
cells are set to FALSE
.
as.rlebdm(network)
: Convert an object of class network
to an rlebdm
object
whose cells corresponding to extant edges are set to TRUE
and
whose other cells are set to FALSE
.
The arithmetic operators are mathematical functions are
implemented for the Ops
and the Math
group generics and
therefore work for almost all of them automatically. To preserve
the integrity of the data structure, the results are cast to
logical before return.
as.rlebdm.ergm_conlist()
as.edgelist()
# From a vector
rlebdm(rep(rep(c(0,1),each=3),14)[seq_len(81)], 9)
# From a constant
rlebdm(1, 3)
# Large matrix (overflowing .Machine$integer.max)
big <- rlebdm(1, 50000)
unclass(big) # Represented as two runs
stopifnot(length(big)==50000^2)
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