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bread  

Analyze Big Files Without Loading Them in Memory
View on CRAN: Click here


Download and install bread package within the R console
Install from CRAN:
install.packages("bread")

Install from Github:
library("remotes")
install_github("cran/bread")

Install by package version:
library("remotes")
install_version("bread", "0.4.1")



Attach the package and use:
library("bread")
Maintained by
Vincent Guegan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-17
Latest Update: 2023-06-26
Description:
A simple set of wrapper functions for data.table::fread() that allows subsetting or filtering rows and selecting columns of table-formatted files too large for the available RAM. 'b stands for 'big files'. bread makes heavy use of Unix commands like 'grep', 'sed', 'wc', 'awk' and 'cut'. They are available by default in all Unix environments. For Windows, you need to install those commands externally in order to simulate a Unix environment and make sure that the executables are in the Windows PATH variable. To my knowledge, the simplest ways are to install 'RTools', 'Git' or 'Cygwin'. If they have been correctly installed (with the expected registry entries), they should be detected on loading the package and the correct directories will be added automatically to the PATH.
How to cite:
Vincent Guegan (2022). bread: Analyze Big Files Without Loading Them in Memory. R package version 0.4.1, https://cran.r-project.org/web/packages/bread
Previous versions and publish date:
0.1.5 (2022-01-17 09:22), 0.1.7 (2022-01-19 16:22), 0.2.3 (2022-08-08 17:50), 0.3.1 (2022-11-15 23:40)
Other packages that cited bread R package
View bread citation profile
Other R packages that bread depends, imports, suggests or enhances
Functions, R codes and Examples using the bread R package
Some associated functions: bcolnames . bfile_split . bfilter . bmeta . bnrow . bnumrange . bread . bselect . bsep . bsubset . 
Some associated R codes: bcolnames.R . bfile_split.R . bfilter.R . bmeta.R . bnrow.R . bnumrange.R . bread.R . bselect.R . bsep.R . bsubset.R . helper_functions.R .  Full bread package functions and examples
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