plot_ca: Plot Term Count as Correspondence Analysis

In trinker/termco: Counts of Terms and Substrings

Description

A wrapper for the ca's ca + plot or plot3d.ca functions for plotting a simple correspondence analysis.

Usage

plot_ca(x, D3 = TRUE, ...)

Arguments

x	A termco object.
D3	logical. If TRUE plots in 3-d.
...	Other arguments passed to plot and plot3d.ca.

Value

Plots a correspondence analysis.

Examples

data(presidential_debates_2012)

discoure_markers <- list(
    response_cries = c("\\boh", "\\bah", "\\baha", "\\bouch", "yuk"),
    back_channels = c("uh[- ]huh", "uhuh", "yeah"),
    summons = "hey",
    justification = "because"
)

(markers <- with(presidential_debates_2012,
    term_count(dialogue, list(person, time), discoure_markers)
))

plot_ca(markers, D3 = FALSE)
## Not run: 
plot_ca(markers)

## End(Not run)

trinker/termco documentation built on Jan. 7, 2022, 3:32 a.m.