Methods for fast access to large ASCII files. Currently the following file formats are supported: comma separated format (CSV) and fixed width format. It is assumed that the files are too large to fit into memory, although the package can also be used to efficiently access files that do fit into memory. Methods are provided to access and process files blockwise. Furthermore, an opened file can be accessed as one would an ordinary data.frame. The LaF vignette gives an overview of the functionality provided.

Documentation

Manual: LaF.pdf
Vignettes:

Maintainer: Jan van der Laan <djvanderlaan at unrealizedtime.nl>

Author(s): Jan van der Laan

Install package and any missing dependencies by running this line in your R console:

install.packages("LaF")

Depends methods
Imports Rcpp(>=0.11.1)
Suggests testthat, yaml
Enhances
Linking to Rcpp
Reverse
depends
Reverse
imports
chunked, SEERaBomb
Reverse
suggests
ffbase
Reverse
enhances
Reverse
linking to

Package LaF
Materials
URL https://github.com/djvanderlaan/LaF
Task Views HighPerformanceComputing
Version 0.6.3
Published 2017-01-02
License GPL-3
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks LaF check results
Package source LaF_0.6.3.tar.gz