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rtape
View on CRAN: Click
here
Download and install rtape package within the R console
Install from CRAN:
install.packages("rtape")
Install from Github:
library("remotes")
install_github("cran/rtape") Install by package version:
library("remotes")
install_version("rtape", "2.2") Attach the package and use:
library("rtape")
Maintained by
Miron B. Kursa
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-05-11
Latest Update: 2012-07-31
Description:
Storing huge data in RData format causes problems because
of the necessity to load the whole file to the memory in order
to access and manipulate objects inside such file; rtape is a
simple solution to this problem. The package contains several
wrappers of R built-in serialize/unserialize mechanism allowing
user to quickly append objects to a tape-like file and later
iterate over them requiring only one copy of each stored object
to reside in memory a time.
How to cite:
Miron B. Kursa (2011). rtape: Manage and manipulate large collections of R objects stored as tape-like files. R package version 2.2, https://cran.r-project.org/web/packages/rtape. Accessed 27 Jun. 2026.
Previous versions and publish date:
Other packages that cited rtape R package
View rtape citation profile
Other R packages that rtape depends,
imports, suggests or enhances
Complete documentation for rtape
Functions, R codes and Examples using
the rtape R package
Some associated functions: guessFileFormat . makeFileFormat . rtape-sub-apply . rtapeAdd . rtapeAsList . rtapeFilter . rtapeLapply . rtapeRerecord .
Some associated R codes: guessFileFormat.R . makeFileFormat.R . rtapeAdd.R . rtapeAsList.R . rtapeFilter.R . rtapeLapply.R . rtapeRerecord.R . rtape_apply.R . shared.R . Full rtape package functions and examples
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