View source: R/subject_pronoun_type.R
subject_pronoun_type | R Documentation |
Count the number of subject pronouns per grouping variables.
subject_pronoun_type(
text.var,
grouping.var = NULL,
subject.pronoun.list = NULL,
...
)
text.var |
The text variable |
grouping.var |
The grouping variables. Default |
subject.pronoun.list |
A named list of subject pronouns. See Details for more. |
... |
Other arguments passed to |
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 ")
Returns a list, of class "subject_pronoun_type", of data frames regarding subject pronoun word counts:
preprocessed |
List of uncollapsed dataframes (raw, prop, rnp) of the class "termco" that contain all searchable subject pronouns. |
raw |
raw word counts by grouping variable |
prop |
proportional word counts by grouping variable; proportional to each individual's subject pronoun use |
rnp |
a character combination data frame of raw and proportional subject pronoun use |
object_pronoun_type
,
pronoun_type
## Not run:
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))
## End(Not run)
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