| loads_MSqRob | R Documentation | 
loads_MSqRob is almost a pure copy of the loads function from the saves package by Dar\'oczi (2013) with some minor code tweaks to make it work for MSqRob. It loads data from a special binary file format (RDatas) made up by the MSqRob_saves function. This special, uncompressed tar archive inlcudes several separate RData files (saved by MSqRob_saves function) as being columns/variables of a data frame.
loads_MSqRob(file = NULL, variables = NULL, ultra.fast = FALSE, printProgress = FALSE, shiny = FALSE, message = NULL)
| file | character string: the (RDatas) filename from which to load the variables. If using  | 
| variables | Optional: a character vector containing the variable names to load. If not specified, all variables will be loaded. | 
| ultra.fast | boolean: if  | 
| to.data.frame | boolean: the default behavior of loads is to concatenate the variables to a list. This could be overriden with  | 
The purpose of this function is to be able only a few variables of a data.frame really fast. It is done by reading and writing datas in binary format without any transformations, and combining the speed of only reading the needed part of an archive.
Some minor experiments shows a huge performance gain against using SQLite/MySQL backends or loading whole binary data, but be conscious always choosing the aprropriate method to write and read data.
The author of the saves package (Dar\'oczi) emphasizes: this package could be useful only in few cases!
Loaded data.frame.
Dar\'oczi, G. (2013). saves: Fast load variables. R package version 0.5, URL http://cran.r-project.org/package=saves
Other saves_MSqRob to save R objects to RDatas binary format: inspect_loads_MSqRob
Other inspect_loads_MSqRob to inspect the content of an RDatas binary object.: saves_MSqRob
## Not run:
# Loading the 'v1' and 'v5' variables of the demo dataset.
data(evs.2000.hun)
saves(evs.2000.hun)
evs.filtered.list <- loads("evs.2000.hun.RDatas", c('v1', 'v5'))
evs.filtered.df <- loads("evs.2000.hun.RDatas", c('v1', 'v5'), to.data.frame=TRUE)
## End(Not run)
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