qdap (version 1.3.5)

end_mark: Sentence End marks

Description

end_mark - Grab the sentence end marks for a transcript. This can be useful to categorize based on sentence type. end_mark_by - Grab the sentence end marks for a transcriptby grouping variable(s).

Usage

end_mark(text.var, missing.end.mark = "_", missing.text = NA,
  other.endmarks = NULL)

end_mark_by(text.var, grouping.var, digits = 3, percent = FALSE,
  zero.replace = 0, ...)

Arguments

text.var

The text variable.

missing.end.mark

A value to use for sentences with missing endmarks.

missing.text

A value to use for sentences with missing (NA) text.

other.endmarks

Other 1-2 character endmarks tos earch for.

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.

percent

logical. If TRUE output given as percent. If FALSE the output is proportion.

zero.replace

Value to replace 0 values with.

digits

Integer; number of decimal places to round when printing.

...

Other arguments passed to end_mark.

Value

• Returns a character vector of qdap end marks for each sentence. End marks include:
• "."
  Declarative sentence.
• "?"
  Question sentence.
• "!"
  Exclamatory sentence.
• "|"
  Incomplete sentence.
• "*."
  Imperative-declarative sentence.
• "*?"
  Imperative-question sentence (unlikely to occur)
• "*!"
  Imperative-exclamatory sentence.
• "*|"
  Imperative-incomplete sentence.
• "no.em"
  No end mark.
• "blank"
  Empty cell/NA.

Examples

end_mark(DATA.SPLIT$state)
end_mark(mraja1spl$dialogue)
ques <- mraja1spl[end_mark(mraja1spl$dialogue) == "?", ] #grab questions
htruncdf(ques)
non.ques <- mraja1spl[end_mark(mraja1spl$dialogue) != "?", ] #non questions
htruncdf(non.ques, 20)
ques.per <- mraja1spl[end_mark(mraja1spl$dialogue) %in% c(".", "?"), ] #grab ? and .
htruncdf(ques.per, 20)

(x_by <- end_mark_by(DATA.SPLIT$state, DATA.SPLIT$person))
scores(x_by)
counts(x_by)
proportions(x_by)
preprocessed(x_by)
plot(scores(x_by))
plot(counts(x_by))
plot(proportions(x_by))
plot(preprocessed(x_by))