read_types: Read a vector of types from a text file

In mclm: Mastering Corpus Linguistics Methods

Read a vector of types from a text file

Description

This function read an object of the class types from a text file. By default, the text file is assumed to contain one type on each line.

Usage

read_types(
  file,
  sep = NA,
  file_encoding = "UTF-8",
  trim_types = FALSE,
  remove_duplicates = FALSE,
  sort = FALSE,
  ...
)

Arguments

file	Name of the input file.
sep	If not is.na(sep), then sep must be a character vector of length one. In that case, sep is interpreted as a type separator in the input file. This separator the serves as an additional type separator, next to the end of each line. The end of a line always indicated a separator between types (in other words, types cannot cross lines).
file_encoding	The file encoding used in the input file.
trim_types	Logical. Should leading and trailing white space should be stripped from the types.
remove_duplicates	Logical. Should duplicates be removed from x prior to coercing to a vector of types.
sort	Logical. Should x be alphabetically sorted prior to coercing to a vector of types; this argument is ignored if remove_duplicates is TRUE, because the result of removing duplicates is always sorted.
...	Additional arguments (not implemented).

Value

Object of class types.

See Also

write_types()

Other reading functions: read_assoc(), read_conc(), read_fnames(), read_freqlist(), read_tokens(), read_txt()

Examples

types <- as_types(c("first", "second", "third"))
write_types(types, "file_with_types.txt")
types_2 <- read_types("file_with_types.txt")

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