Animate.lexical_classification - Animate a
lexical_classification object.
# S3 method for lexical_classification
Animate(
x,
type = "network",
content = "red",
functional = "yellow",
edge.constant,
wc.time = TRUE,
time.constant = 2,
title = NULL,
digits = 2,
current.color = "black",
current.speaker.color = NULL,
non.speaker.color = NA,
missing.color = "purple",
all.color.line = "red",
width = 65,
function.words = qdapDictionaries::function.words,
left = "<A lexical_classification object.
Character string of either "network" (as a network
plot), "bar" (as a bar plot), or "text" (as a simple
colored text plot).
The color to use for 100% lexical_classification (purely content).
The color to use for 0% lexical_classification (purely functional).
A constant to multiple edge width by.
logical. If TRUE weights duration of frame by word
count.
A constant to divide the maximum word count by. Time is calculated by `round(exp(WORD COUNT/(max(WORD COUNT)/time.constant)))`. Therefore a larger constant will make the difference between the large and small word counts greater.
The title to apply to the animated image(s).
The number of digits to use in the current turn of talk's content rate.
The color to use for the current turn of talk's content rate.
The color for the current speaker.
The color for the speakers not currently speaking.
The color to use in a network plot for edges
corresponding to missing text data. Use na.omit before
hand to remove the missing values all together.
The color to use for the total average discourse content rate.
The width to break text at if type = "text".
A vector of function words. Default is
function.words.
A left bound to wrap content words with if type = "text".
A right bound to wrap content words with if type = "text".
The x/y coordinate to plot the test if type = "text".
The hjust and vjust values to use for the text if
type = "text".
Other arguments passed to discourse_map or
annotate if type = "text".
lexical_classification Method for Animate