R: Analyze Big Files Without Loading Them in Memory

# Analyze Big Files Without Loading Them in Memory

## Documentation for package ‘bread’ version 0.4.1

- DESCRIPTION file
- Package README

## Help Pages

bcolnames | Retrieve the column names directly from a big file without loading it in memory
bfile_split | Splits a big file in several smaller files without loading it entirely in memory
bfilter | Pre-filters a data file using column values before loading it in memory
bmeta | Helper function generating nrow and colnames for the target file without loading it in memory
bnrow | Count the number of rows of a big file without loading it in memory
bnumrange | Pre-filters a data file using column numerical range before loading it in memory
bread | Reads a file in table format, selecting columns, subsetting rows by number and filtering them by column values
bselect | Pre-selects columns of a data file before loading it in memory
bsep | Tries to identify the separator / delimiter used in a table format file
bsubset | Pre-subsets rows of a data file by index number before loading it in memory