deepcopy {bigmemory} | R Documentation |
This is needed to make a duplicate of a big.matrix
, with the
new copy optionally filebacked.
deepcopy(x, cols = NULL, type = NULL, separated = NULL, backingfile = NULL, backingpath = NULL, descriptorfile = NULL, shared=TRUE)
x |
a big.matrix . |
cols |
possible subset of columns for the deepcopy; could be numeric, named, or logical. |
type |
preferably specified, "integer" for example. |
separated |
use separated column organization of the data instead of column-major organization; use with caution if the number of columns is large. |
backingfile |
the root name for the file(s) for the cache of x . |
backingpath |
the path to the directory containing the file-backing cache. |
descriptorfile |
we recommend specifying this for file-backing. |
shared |
TRUE by default, and always TRUE if the big.matrix is file-backed. For a non-filebacked big.matrix , shared=FALSE uses non-shared memory, which can be more stable for large (say, >50% of RAM) objects. Shared memory allocation can sometimes fail in such cases due to exhausted shared-memory resources in the system. |
This is needed to make a duplicate of a big.matrix
, because traditional
R syntax would only copy the R object (the pointer to the big.matrix
rather than the big.matrix
itself).
It can also make a copy of only a subset of columns.
a big.matrix
.
x <- as.big.matrix(matrix(1:30, 10, 3)) y <- deepcopy(x, -1) # Don't include the first column. x y head(x) head(y)