readr: read_file – R documentation

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read_file

Read/write a complete file

Description

read_file() reads a complete file into a single object: either a character vector of length one, or a raw vector. write_file() takes a single string, or a raw vector, and writes it exactly as is. Raw vectors are useful when dealing with binary data, or if you have text data with unknown encoding.

Usage

read_file(file, locale = default_locale())

read_file_raw(file)

write_file(x, file, append = FALSE, path = deprecated())

Arguments

`file`	Either a path to a file, a connection, or literal data (either a single string or a raw vector). Files ending in `.gz`, `.bz2`, `.xz`, or `.zip` will be automatically uncompressed. Files starting with `http://`, `https://`, `ftp://`, or `ftps://` will be automatically downloaded. Remote gz files can also be automatically downloaded and decompressed. Literal data is most useful for examples and tests. It must contain at least one new line to be recognised as data (instead of a path) or be a vector of greater than length 1. Using a value of `clipboard()` will read from the system clipboard.
`locale`	The locale controls defaults that vary from place to place. The default locale is US-centric (like R), but you can use `locale()` to create your own locale that controls things like the default time zone, encoding, decimal mark, big mark, and day/month names.
`x`	A single string, or a raw vector to write to disk.
`append`	If `FALSE`, will overwrite existing file. If `TRUE`, will append to existing file. In both cases, if the file does not exist a new file is created.
`path`

Value

read_file: A length 1 character vector. read_lines_raw: A raw vector.

Examples

read_file(file.path(R.home("doc"), "AUTHORS"))
read_file_raw(file.path(R.home("doc"), "AUTHORS"))

tmp <- tempfile()

x <- format_csv(mtcars[1:6, ])
write_file(x, tmp)
identical(x, read_file(tmp))

read_lines(x)

readr

Read Rectangular Text Data

v1.4.0

GPL (>= 2) | file LICENSE

Authors

Hadley Wickham [aut], Jim Hester [aut, cre], Romain Francois [ctb], R Core Team [ctb] (Date time code adapted from R), RStudio [cph, fnd], Jukka Jylänki [ctb, cph] (grisu3 implementation), Mikkel Jørgensen [ctb, cph] (grisu3 implementation)

Initial release