saves v0.5

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Fast load variables

The purpose of this package is to be able to save and load only the needed variables/columns of a dataframe in special binary files (tar archives) - which seems to be a lot faster method than loading the whole binary object (RData files) via load() function, or than loading columns from SQLite/MySQL databases via SQL commands (see vignettes). Performance gain on SSD drives is a lot more sensible compared to basic load() function. The performance improvement gained by loading only the chosen variables in binary format can be useful in some special cases (e.g. where merging data tables is not an option and very different datasets are needed for reporting), but be sure if using this package that you really need this, as non-standard file formats are used!

Functions in saves

Name Description
saves Save the variables of a data.frame in distinct binary files
loads Loading only given variables of a data.frame from binary file
evs.2000.hun European Values Survey (2000) - Hungary
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Vignettes of saves

Name
img/diamonds.pdf
img/diamonds_server.pdf
img/ess.pdf
img/ess_server.pdf
img/save.pdf
saves.Rnw
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Details

License AGPL-3
BugReports https://github.com/daroczig/saves/issues
LazyData no
Type Package
URL http://r.snowl.net/saves/
Date 2013-12-27
Encoding UTF-8
Packaged 2013-12-27 14:15:16 UTC; daroczig
NeedsCompilation no
Repository CRAN
Date/Publication 2013-12-27 16:07:34
Contributors Gergely Daróczi

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