base (version 3.5.2)

dump: Text Representations of R Objects


This function takes a vector of names of R objects and produces text representations of the objects on a file or connection. A dump file can usually be sourced into another R session.


dump(list, file = "dumpdata.R", append = FALSE,
     control = "all", envir = parent.frame(), evaluate = TRUE)



character vector. The names of one or more R objects to be dumped.


either a character string naming a file or a connection. "" indicates output to the console.


if TRUE and file is a character string, output will be appended to file; otherwise, it will overwrite the contents of file.


character vector indicating deparsing options. See .deparseOpts for their description.


the environment to search for objects.


logical. Should promises be evaluated?


An invisible character vector containing the names of the objects which were dumped.


If some of the objects named do not exist (in scope), they are omitted, with a warning. If file is a file and no objects exist then no file is created.

sourceing may not produce an identical copy of dumped objects. A warning is issued if it is likely that problems will arise, for example when dumping exotic or complex objects (see the Note).

dump will also warn if fewer characters were written to a file than expected, which may indicate a full or corrupt file system.

A dump file can be sourced into another R (or perhaps S) session, but the function save is designed to be used for transporting R data, and will work with R objects that dump does not handle. For maximal reproducibility use control = c("all", "hexNumeric").

To produce a more readable representation of an object, use control = NULL. This will skip attributes, and will make other simplifications that make source less likely to produce an identical copy. See deparse for details.

To deparse the internal representation of a function rather than displaying the saved source, use control = c("keepInteger", "warnIncomplete", "keepNA"). This will lose all formatting and comments, but may be useful in those cases where the saved source is no longer correct.

Promises will normally only be encountered by users as a result of lazy-loading (when the default evaluate = TRUE is essential) and after the use of delayedAssign, when evaluate = FALSE might be intended.


Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

See Also

dput, dget, write. save for a more reliable way to save R objects.


Run this code
x <- 1; y <- 1:10
fil <- tempfile(fileext=".Rdmped")
dump(ls(pattern = '^[xyz]'), fil)
# }

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