save writes an external representation of R objects to the
specified file. The objects can be read back from the file at a later
date by using the function load or attach
(or data in some cases). save.image() is just a short-cut for ‘save my current
workspace’, i.e., save(list = ls(all.names = TRUE), file =
".RData", envir = .GlobalEnv).
It is also what happens with q("yes").
save(..., list = character(), file = stop("'file' must be specified"), ascii = FALSE, version = NULL, envir = parent.frame(), compress = isTRUE(!ascii), compression_level, eval.promises = TRUE, precheck = TRUE)
save.image(file = ".RData", version = NULL, ascii = FALSE, compress = !ascii, safe = TRUE)save.image or
version = 1.TRUE, an ASCII representation of the data is
written. The default value of ascii is FALSE which
leads to a binary file being written. If NA and
version >= 2, a different ASCII representation is used which
writes double/complex numbers as binary fractions.NULL
specifies the current default format. The version used from R
0.99.0 to R 1.3.1 was version 1. The default format as from R
1.4.0 is version 2.TRUE corresponds to
gzip compression, and character strings "gzip",
"bzip2" or "xz" specify the type of
compression. Ignored when file is a connection and
for workspace format version 1.6 for gzip compression and to
9 for bzip2 or xz compression.TRUE, a temporary file is used for
creating the saved workspace. The temporary file is renamed to
file if the save succeeds. This preserves an existing
workspace file if the save fails, but at the cost of using
extra disk space during the save.gzip compression in 8 secs, 19MB with
bzip2 compression in 13 secs and 9.4MB with xz
compression in 40 secs. The load times were 1.3, 2.8, 5.5 and 5.7
seconds respectively. These results are indicative, but the relative
performances do depend on the actual file: xz compressed
unusually well here. It is possible to compress later (with gzip, bzip2
or xz) a file saved with compress = FALSE: the effect
is the same as saving with compression. Also, a saved file can be
uncompressed and re-compressed under a different compression scheme
(and see resaveRdaFiles for a way to do so from within R).file can be a connection can be exploited to make use of
an external parallel compression utility such as pigz
(http://zlib.net/pigz/) or pbzip2
(http://compression.ca/pbzip2/) via a pipe
connection. For example, using 8 threads,
con <- pipe("pigz -p8 > fname.gz", "wb")
save(myObj, file = con); close(con) con <- pipe("pbzip2 -p8 -9 > fname.bz2", "wb")
save(myObj, file = con); close(con) con <- pipe("xz -T8 -6 -e > fname.xz", "wb")
save(myObj, file = con); close(con)
where the last requires xz 5.1.1 or later built with support
for multiple threads (and parallel compression is only effective for
large objects: at level 6 it will compress in serialized chunks of 12MB).... arguments only give the names of the objects
to be saved: they are searched for in the environment given by the
envir argument, and the actual objects given as arguments need
not be those found. Saved R objects are binary files, even those saved with
ascii = TRUE, so ensure that they are transferred without
conversion of end-of-line markers and of 8-bit characters. The lines
are delimited by LF on all platforms. Although the default version has not changed since R 1.4.0, this
does not mean that saved files are necessarily backwards compatible.
You will be able to load a saved image into an earlier version of R
unless use is made of later additions (for example, raw vectors,
external pointers and some S4 objects). One such ‘later addition’ was long vectors, introduced in R
3.0.0 and loadable only on 64-bit platforms. Loading files saved with ASCII = NA requires a C99-compliant C
function sscanf: this is a problem on Windows, first worked
around in R 3.1.2: they should be readable in earlier versions of R
on all other platforms.... or as a character vector in list are
used to look up the objects from environment envir. By default
promises are evaluated, but if eval.promises = FALSE
promises are saved (together with their evaluation environments).
(Promises embedded in objects are always saved unevaluated.)All R platforms use the XDR (bigendian) representation of C ints and doubles in binary save-d files, and these are portable across all R platforms.
ASCII saves used to be useful for moving data between platforms but are now mainly of historical interest. They can be more compact than binary saves where compression is not used, but are almost always slower to both read and write: binary saves compress much better than ASCII ones. Further, decimal ASCII saves may not restore double/complex values exactly, and what value is restored may depend on the R platform.
Default values for the ascii, compress, safe and
version arguments can be modified with the
"save.defaults" option (used both by save and
save.image), see also the ‘Examples’ section. If a
"save.image.defaults" option is set it is used in preference to
"save.defaults" for function save.image (which allows
this to have different defaults). In addition,
compression_level can be part of the "save.defaults"
option.
A connection that is not already open will be opened in mode
"wb". Supplying a connection which is open and not in binary
mode gives an error.
dput, dump, load,
data. For other interfaces to the underlying serialization format, see
serialize and saveRDS.
x <- stats::runif(20)
y <- list(a = 1, b = TRUE, c = "oops")
save(x, y, file = "xy.RData")
save.image()
unlink("xy.RData")
unlink(".RData")
# set save defaults using option:
options(save.defaults = list(ascii = TRUE, safe = FALSE))
save.image()
unlink(".RData")
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