Report the Space Allocated for Objects
Provides an estimate of the memory that is being used to store R objects.
# S3 method for object_sizes is(x)
# S3 method for object_sizes as(x)
# S3 method for object_sizes c(…, recursive=FALSE)
# S3 method for object_sizes format(x, humanReadable=getOption("humanReadable"), standard="IEC", units, digits=1, width=NULL, sep=" ", justify = c("right", "left"), …)
# S3 method for object_sizes print(x, quote=FALSE, humanReadable=getOption("humanReadable"), standard="IEC", units, digits=1, width=NULL, sep=" ", justify = c("right", "left"), …)
object.size: R objects;
format: arguments to be passed to other methods.
logical, indicating whether or not the result should be printed with surrounding quotes.
logical, use the “human readable” format.
See the man page for
See the man page for
This is a modified copy of the man page for utils::object.size in R 2.2.1.
Exactly which parts of the memory allocation should be attributed to which object is not clear-cut. This function merely provides a rough indication: it should be reasonably accurate for atomic vectors, but does not detect if elements of a list are shared, for example. (Sharing amongst elements of a character vector is taken into account, but not that between character vectors in a single object.)
The calculation is of the size of the object, and excludes the space needed to store its name in the symbol table.
Associated space (e.g., the environment of a function and what the
pointer in a
EXTPTRSXP points to) is not included in the
Object sizes are larger on 64-bit builds than 32-bit ones, but will very likely be the same on different platforms with the same word length and pointer size.
Class of returned object is
c("object_sizes", "numeric") with
object.size outputs size in bytes, but human
readable format similar to
commands can be displayed by calling
A numeric vector class
c("object_sizes", "numeric") containing
estimated memory allocation attributable to the objects in bytes.
object.size(letters) object.size(ls) ## find the 10 largest objects in the base package allObj <- sapply(ls("package:base"), function(x) object.size(get(x, envir = baseenv())) ) ( bigObj <- as.object_sizes(rev(sort(allObj))[1:10] ) ) print(bigObj, humanReadable=TRUE) as.object_sizes(14567567) options(humanReadable=TRUE) ( z <- object.size(letters, c(letters, letters), rep(letters, 100), rep(letters, 10000) ) ) is.object_sizes(z) as.object_sizes(14567567)