fnames: Retrieve the names of files in a given path

In mclm: Mastering Corpus Linguistics Methods

Retrieve the names of files in a given path

Description

Build an object of class fnames.

Usage

get_fnames(
  path = ".",
  re_pattern = NULL,
  recursive = TRUE,
  perl = TRUE,
  invert = FALSE
)

Arguments

path	The location of the files to be listed.
re_pattern	Optional regular expression. If present, then only the filenames that match it are retrieved (unless invert = TRUE, in which case those filenames are excluded). The match is done over the absolute path of the files.
recursive	Boolean value. Should the subdirectories of path also be searched?
perl	Boolean value. Whether re_pattern should be interpreted as a PERL flavor of regular expression.
invert	Boolean value. If TRUE, filenames matching re_pattern are the only ones retrieved. If FALSE, filenames matching re_pattern are excluded.

Value

An object of class fnames, which is a special kind of character vector storing the absolute paths of the corpus files. It has additional attributes and methods such as:

• base print(), as_data_frame(), sort() and summary() (which returns the number of items and of unique items),

• tibble::as_tibble(),

• an interactive explore() method,

• a function to get the number of items n_fnames(),

• subsetting methods such as keep_types(), keep_pos(), etc. including [] subsetting (see brackets), as well as the specific functions keep_fnames() and drop_fnames().

Additional manipulation functions includes fnames_merge() to combine filenames collections and the short_names() family of functions to shorten the names.

Objects of class fnames can be saved to file with write_fnames(); these files can be read with read_fnames().

It is possible to coerce a character vector into an fnames object with as_fnames().

Examples

cwd_fnames <- get_fnames(recursive = FALSE)

cwd_fnames <- as_fnames(c("file1", "file2", "file3"))
cwd_fnames
print(cwd_fnames)
as_data_frame(cwd_fnames)
as_tibble(cwd_fnames)

sort(cwd_fnames)

summary(cwd_fnames)

mclm documentation built on Oct. 3, 2022, 9:07 a.m.