object_pronoun_type: Count Object Pronouns Per Grouping Variable

Description

Count the number of object pronouns per grouping variables.

Usage

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

Value

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

Run this code

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))