object_pronoun_type function

Count Object Pronouns Per Grouping Variable

Count the number of object pronouns per grouping variables.

object_pronoun_type(
  text.var,
  grouping.var = NULL,
  object.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.
• object.pronoun.list: A named list of object pronouns. See Details for more.
• ``: Other arguments passed to termco

Returns

Returns a list, of class "object_pronoun_type", of data frames regarding object pronoun word counts: - preprocessed: List of uncollapsed dataframes (raw, prop, rnp) of the class "termco" that contain all searchable object pronouns.

• raw: raw word counts by grouping variable

• prop: proportional word counts by grouping variable; proportional to each individual's object pronoun use

• rnp: a character combination data frame of raw and proportional object pronoun use

Details

The following object pronoun categories are the default searched terms:

• me = c(" me ", " my ", " mine ")
• us = c(" us ", " our ", " ours ")
• you = c(" you'd ", " you'll ", " you're ", " you've ", " you ", " your ")
• him = c(" him ", " his ")
• her = c(" her ", " hers ")
• them = c(" them ")
• their = c(" their ", "theirs ")
• it = c(" it'd ", " it'll ", " it's ", " it ")

Examples

## Not run:

dat <- pres_debates2012
dat <- dat[dat$person %in% qcv(ROMNEY, OBAMA), ]
(out <- object_pronoun_type(dat$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)

See Also

subject_pronoun_type, pronoun_type