save.lbzip2: Save R Object using lbzip2 parallel compression
In barkasn/fastSave: Save R objects Faster

Description Usage Arguments

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). Files generated with this function can be loaded with load.lbzip2()

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save.lbzip2(..., list = character(),
  file = stop("'file' must be specified"), envir = parent.frame(),
  n.cores = 4, eval.promises = TRUE, precheck = TRUE)

`...`	the names of the objects to be saved (as symbols or character strings).
`list`	A character vector containing the names of objects to be saved.
`file`	the name of the file where data will be saved, the recommended suffix is .RDataFS
`envir`	environment to search for objects to be saved.
`n.cores`	number of cores to use to compress
`eval.promises`	logical: should objects which are promises be forced before saving?
`precheck`	logical: should the existence of the objects be checked before starting to save (and in particular before opening the file/connection)?