qdap (version 0.2.5)

word_stats: Descriptive Word Statistics

Description

Transcript apply descriptive word statistics.

Usage

word_stats(text.var, grouping.var = NULL, tot = NULL,
    parallel = FALSE, rm.incomplete = FALSE,
    digit.remove = FALSE, apostrophe.remove = FALSE,
    digits = 3, ...)

Arguments

text.var

The text variable or a "word_stats" object (i.e., the output of a word_stats function).

grouping.var

The grouping variables. Default NULL generates one word list for all text. Also takes a single grouping variable or a list of 1 or more grouping variables.

tot

Optional turns of talk variable that yields turn of talk measures.

parallel

logical. If TRUE attempts to run the function on multiple cores. Note that this may not mean a speed boost if you have one core or if the data set is smaller as the cluster takes time to create (parallel is slower until approxim

rm.incomplete

logical. If TRUE incomplete statements are removed from calculations in the output.

digit.remove

logical. If TRUE removes digits from calculating the output.

apostrophe.remove

logical. If TRUE removes apostrophes from calculating the output.

digits

Integer; number of decimal places to round when printing.

...

Any other arguments passed to end_inc.

Value

• Returns a list of three descriptive word statistics:
• ts
  A data frame of descriptive word statistics by row
• gts
  A data frame of word/sentence statistics per grouping variable:

  • n.tot

  { - number of turns of talk} n.sent{ - number of sentences} n.words{ - number of words} n.char{ - number of characters} n.syl{ - number of syllables} n.poly{ - number of polysyllables} sptot{ - syllables per turn of talk} wptot{ - words per turn of talk} wps{ - words per sentence} cps{ - characters per sentence} sps{ - syllables per sentence} psps{ - poly-syllables per sentence} cpw{ - characters per word} spw{ - syllables per word} n.state{ - number of statements} n.quest{ - number of questions} n.exclm{ - number of exclamations} n.incom{ - number of incomplete statements} p.state{ - proportion of statements} p.quest{ - proportion of questions} p.exclm{ - proportion of exclamations} p.incom{ - proportion of incomplete statements} n.hapax{ - number of hapax legomenon} n.dis{ - number of dis legomenon} grow.rate{ - proportion of hapax legomenon to words} prop.dis{ - proportion of dis legomenon to words}

item

• mpun
• word.elem
• sent.elem
• omit
• percent
• zero.replace
• digits

Examples

word_stats(mraja1spl$dialogue, mraja1spl$person)
(desc_wrds <- with(mraja1spl, word_stats(dialogue, person, tot = tot)))
with(mraja1spl, word_stats(desc_wrds, person, tot = tot)) #speed boost
names(desc_wrds)
htruncdf(desc_wrds$ts, 15, 5)
htruncdf(desc_wrds$gts, 15, 6)
desc_wrds$mpun
desc_wrds$word.elem
desc_wrds$sent.elem
plot(desc_wrds)
plot(desc_wrds, label=TRUE, lab.digits = 1)
with(mraja1spl, word_stats(dialogue, list(sex, died, fam.aff)))