wmatrix {statnet.common} | R Documentation |
A representation of a numeric matrix with row weights, represented
on either linear (linwmatrix
) or logarithmic (logwmatrix
)
scale.
logwmatrix(data = NA, nrow = 1, ncol = 1, byrow = FALSE, dimnames = NULL, w = NULL) linwmatrix(data = NA, nrow = 1, ncol = 1, byrow = FALSE, dimnames = NULL, w = NULL) is.wmatrix(x) is.logwmatrix(x) is.linwmatrix(x) as.linwmatrix(x, ...) as.logwmatrix(x, ...) ## S3 method for class 'linwmatrix' as.linwmatrix(x, ...) ## S3 method for class 'logwmatrix' as.linwmatrix(x, ...) ## S3 method for class 'logwmatrix' as.logwmatrix(x, ...) ## S3 method for class 'linwmatrix' as.logwmatrix(x, ...) ## S3 method for class 'matrix' as.linwmatrix(x, w = NULL, ...) ## S3 method for class 'matrix' as.logwmatrix(x, w = NULL, ...) ## S3 method for class 'wmatrix' print(x, ...) ## S3 method for class 'logwmatrix' print(x, ...) ## S3 method for class 'linwmatrix' print(x, ...) ## S3 method for class 'logwmatrix' compress_rows(x, ...) ## S3 method for class 'linwmatrix' compress_rows(x, ...) ## S3 method for class 'wmatrix' decompress_rows(x, target.nrows = NULL, ...) ## S3 method for class 'wmatrix' x[i, j, ..., drop = FALSE] ## S3 replacement method for class 'wmatrix' x[i, j, ...] <- value
data, nrow, ncol, byrow, dimnames |
passed to |
w |
row weights on the appropriate scale. |
x |
an object to be coerced or tested. |
... |
extra arguments, currently unused. |
target.nrows |
see |
i, j, value |
rows and columns and values for extraction or
replacement; as |
drop |
Used for consistency with the generic. Ignored, and
always treated as |
An object of class linwmatrix
/logwmatrix
and wmatrix
,
which is a matrix()
but also has an attribute w
containing
row weights on the linear or the natural-log-transformed scale.
Note that wmatrix
itself is an "abstract" class: you cannot
instantiate it.
Note that at this time, wmatrix
is designed as, first and
foremost, as class for storing compressed data matrices, so most
methods that operate on matrices may not handle the weights
correctly and may even cause them to be lost.
rowweights()
, lrowweights()
, compress_rows()
(m <- matrix(1:3, 2, 3, byrow=TRUE)) (m <- rbind(m, 3*m, 2*m, m)) (mlog <- as.logwmatrix(m)) (mlin <- as.linwmatrix(m)) (cmlog <- compress_rows(mlog)) (cmlin <- compress_rows(mlin)) stopifnot(all.equal(as.linwmatrix(cmlog),cmlin)) cmlog[2,] <- 1:3 (cmlog <- compress_rows(cmlog)) stopifnot(sum(rowweights(cmlog))==nrow(m)) (m3 <- matrix(c(1:3,(1:3)*2,(1:3)*3), 3, 3, byrow=TRUE)) (rowweights(m3) <- c(4, 2, 2)) stopifnot(all.equal(compress_rows(as.logwmatrix(m)), as.logwmatrix(m3),check.attributes=FALSE)) stopifnot(all.equal(rowweights(compress_rows(as.logwmatrix(m))), rowweights(as.logwmatrix(m3)),check.attributes=FALSE))