| rlebdm {ergm} | 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, ...)
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- |
as.rlebdm: Convert a square matrix of mode coercible to logical to an
rlebdm.
as.rlebdm: 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: 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.
compress: Compress the rle data structure in the
rlebdm by merging successive runs with identical values.
as.edgelist: Convert an rlebdm object to an edgelist: a two-column
integer matrix giving the cells with TRUE values.
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.
# 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)