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.
Version: | 0.8.4 |
Depends: | methods, utils |
Imports: | Rcpp (≥ 0.11.1) |
LinkingTo: | Rcpp |
Suggests: | testthat, yaml |
Published: | 2020-03-23 |
Author: | Jan van der Laan |
Maintainer: | Jan van der Laan <r at eoos.dds.nl> |
License: | GPL-3 |
URL: | https://github.com/djvanderlaan/LaF |
NeedsCompilation: | yes |
Materials: | NEWS |
In views: | HighPerformanceComputing |
CRAN checks: | LaF results |
Reference manual: | LaF.pdf |
Vignettes: |
LaF-benchmark LaF-manual |
Package source: | LaF_0.8.4.tar.gz |
Windows binaries: | r-devel: LaF_0.8.4.zip, r-release: LaF_0.8.4.zip, r-oldrel: LaF_0.8.4.zip |
macOS binaries: | r-release (arm64): LaF_0.8.4.tgz, r-oldrel (arm64): LaF_0.8.4.tgz, r-release (x86_64): LaF_0.8.4.tgz, r-oldrel (x86_64): LaF_0.8.4.tgz |
Old sources: | LaF archive |
Reverse depends: | easyPSID |
Reverse imports: | chunked, EdSurvey, SEERaBomb |
Reverse suggests: | blaise, disk.frame |
Please use the canonical form https://CRAN.R-project.org/package=LaF to link to this page.