lex.div.num: Calculate lexical diversity

In unDocUMeantIt/koRpus: Text Analysis with Emphasis on POS Tagging, Readability, and Lexical Diversity

Description

This function is a stripped down version of lex.div. It does not analyze text, but takes the numbers of tokens and types directly to calculate measures for which this information is sufficient:

• "TTR"The classic Type-Token Ratio

• "C"Herdan's C

• "R"Guiraud's Root TTR

• "CTTR"Carroll's Corrected TTR

• "U"Dugast's Uber Index

• "S"Summer's index

• "Maas" Maas' (a^2)

See lex.div for further details on the formulae.

Usage

lex.div.num(
  num.tokens,
  num.types,
  measure = c("TTR", "C", "R", "CTTR", "U", "S", "Maas"),
  log.base = 10,
  quiet = FALSE
)

Arguments

num.tokens	Numeric, the number of tokens.
num.types	Numeric, the number of types.
measure	A character vector defining the measures to calculate.
log.base	A numeric value defining the base of the logarithm. See log for details.
quiet	Logical. If FALSE, short status messages will be shown. TRUE will also suppress all potential warnings regarding the validation status of measures.

Value

An object of class kRp.TTR.

References

Maas, H.-D., (1972). \"Uber den Zusammenhang zwischen Wortschatzumfang und L\"ange eines Textes. Zeitschrift f\"ur Literaturwissenschaft und Linguistik, 2(8), 73–96.

Tweedie. F.J. & Baayen, R.H. (1998). How Variable May a Constant Be? Measures of Lexical Richness in Perspective. Computers and the Humanities, 32(5), 323–352.

See Also

lex.div

Examples

lex.div.num(
  num.tokens=104,
  num.types=43
)

unDocUMeantIt/koRpus documentation built on May 21, 2021, 9:26 p.m.