| object_size | R Documentation |
Provides an estimate of the memory that is being used to store R objects.
object_size(...)
## S3 method for class 'object_sizes'
is(x)
## S3 method for class 'object_sizes'
as(x)
## S3 method for class 'object_sizes'
c(..., recursive=FALSE)
## S3 method for class 'object_sizes'
format(x, humanReadable=getOption("humanReadable"),
standard="IEC", units, digits=1, width=NULL, sep=" ",
justify=c("right", "left"), ...)
## S3 method for class 'object_sizes'
print(x, quote=FALSE,
humanReadable=getOption("humanReadable"), standard="IEC", units, digits=1,
width=NULL, sep=" ", justify=c("right", "left"), ...)
... |
|
x |
output from |
quote |
whether or not the result should be printed with surrounding quotes. |
humanReadable |
whether to use the “human readable” format. |
standard, units, digits, width, sep, justify |
passed to
|
recursive |
passed to the |
The base R package utils provides an object.size
function that handles a single object. The gdata package
provides a similar object_size function that handles multiple
objects.
Both the utils and gdata implementations store the
object size in bytes, but offer a slightly different user interface
for showing the object size in other formats. The gdata
implementation offers human readable format similar to ls,
df or du shell commands, by calling humanReadable
directly, calling print with the argument
humanReadable=TRUE, or by setting
options(humanReadable=TRUE).
The 3.0.0 release of gdata renamed this function to
object_size, allowing users to explicitly call the gdata
implementation. This eliminates ambiguity and makes it less likely to
get errors when running parts of an existing script without first
loading the gdata package. The old object.size function
name is now deprecated in the gdata package, pointing users to
object_size and utils::gdata instead.
A numeric vector class c("object_sizes", "numeric") containing
estimated memory allocation attributable to the objects in bytes.
object.size in package 'utils' for the base R
implementation,
Memory-limits for the design limitations on object size,
humanReadable for human readable format.
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)
oldopt <- options(humanReadable=TRUE)
(z <- object_size(letters,
c(letters, letters),
rep(letters, 100),
rep(letters, 10000)))
is.object_sizes(z)
as.object_sizes(14567567)
options(oldopt)
# Comparison
# gdata
print(object_size(loadNamespace), humanReadable=TRUE)
print(bigObj, humanReadable=TRUE)
# utils
print(utils::object.size(loadNamespace), units="auto")
sapply(bigObj, utils:::format.object_size, units="auto")
# ll
ll("package:base")[order(-ll("package:base")$KB)[1:10],]
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