| 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 |
A numeric vector class c("object_sizes", "numeric") containing
estimated memory allocation attributable to the objects in bytes.
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 object_size function in the gdata package used to be called
object.size, masking the base R function of the same name. This was a
potential source of ambiguity and errors when running scripts, depending on
whether the gdata package was loaded or not. This was improved in the
3.0.0 release of gdata by renaming the function to object_size
and in version 3.1.0 when object.size was removed from the gdata
package.
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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