qdap 2.2.0

Count Subject Pronouns Per Grouping Variable

Usage

subject_pronoun_type(text.var, grouping.var = NULL, subject.pronoun.list = NULL, ...)

Arguments

text.var
The text variable
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.
subject.pronoun.list
A named list of subject pronouns. See Details for more.
...
Other arguments passed to termco

Count Subject Pronouns Per Grouping Variable

Value

Returns a list, of class "subject_pronoun_type", of data frames regarding subject pronoun word counts: preprocessedList of uncollapsed dataframes (raw, prop, rnp) of the class "termco" that contain all searchable subject pronouns. rawraw word counts by grouping variable propproportional word counts by grouping variable; proportional to each individual's subject pronoun use rnpa character combination data frame of raw and proportional subject pronoun use

Description

Count the number of subject pronouns per grouping variables.

Details

The following subject pronoun categories are the default searched terms:

  • I - c(" i'd ", " i'll ", " i'm ", " i've ", " i ")
  • we - c(" we'd ", " we'll ", " we're ", " we've ", " we ")
  • you - c(" you'd ", " you'll ", " you're ", " you've ", " you ", " your ")
  • he - c(" he'd ", " he'll ", " he's ", " he ")
  • she - c(" she'd ", " she'll ", " she's ", " she ")
  • it - c(" it'd ", " it'll ", " it's ", " it ")
  • they - c(" they'd ", " they'll ", " they're ", "they've ", " they ")

Examples

## <strong>Not run</strong>: 
# dat <- pres_debates2012
# dat <- dat[dat$person %in% qcv(ROMNEY, OBAMA), ]
# (out <- subject_pronoun_type(dat$dialogue, dat$person))
# plot(out)
# plot(out, 2)
# plot(out, 3)
# plot(out, 3, ncol=2)
# 
# scores(out)
# counts(out)
# proportions(out)
# preprocessed(out)
# 
# plot(scores(out))
# plot(counts(out))
# plot(proportions(out))
# ## <strong>End(Not run)</strong>

See also

object_pronoun_type, pronoun_type