subject_pronoun_type: Count Subject Pronouns Per Grouping Variable

Description

Count the number of subject pronouns per grouping variables.

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

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

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

Run this code

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))

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